About Us:YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B.

ABOUT US

Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations.

We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly.

We think that outside is the best side and that you can’t improve on nature. It’s good for mind, body and soul, and it’s our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities.

YOUR ROLE

The Data Analyst is a key early member of Stio’s Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You’ll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process.

You’ll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you’re genuinely curious about how this part of the craft is evolving. As an early team member, you’ll help shape how we work in this environment, not just execute someone else’s playbook.

We’re looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn’t hesitate to sweep the floor (fix a broken Excel link), isn’t afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio.

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics.

YOUR RESPONSIBILITIES

• Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You’ll own these end-to-end: scoping, building, validating, and communicating findings.
• Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work.
• Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day.
• Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means.
• Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you’ve collaborated on with AI agents, and you’ll bring the data intuition that makes that work trustworthy.
• Investigate ambiguous data questions where the answer isn’t in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business.
• Help build and maintain Stio’s data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve.
• Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful and that AI agents can consume as context for future work.
• Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side.

YOUR SKILLS AND EXPERIENCE

• 3+ years of professional experience as a data analyst, analytics engineer, or similar role
• Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off
• Hands-on experience with dbt, including writing models, tests, and documentation. You don’t need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like
• Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
• Version control with Git/GitHub as part of your normal workflow
• Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
• A real point of view on AI-assisted development for analytics work — what it’s actually good at, where it falls down, what you do to make the output trustworthy
• History of building collaborative, trusting relationships with non-technical stakeholders
• Comfort presenting findings to leadership verbally, in writing, and visually

PREFERRED ADDITIONAL SKILLS AND EXPERIENCE

Though not required, we would consider the following as an added plus:

• Working knowledge of Python and/or R for analysis
• Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex)
• Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo
• Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company
• Experience working in a small or solo data team where you owned the work end-to-end

THE FINE PRINT

• Must be able to work in a stationary position 50% - 75% of the work day
• Medical, Dental Vision plans
• Company Paid Long Term Disability
• Employee Assistance Programs
• 401k with Match
• Generous paid time off policies
• Gear test, perks and more

We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications.

This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Team:

The Research Operations team is critical to the evolution and reliability of AlphaSense’s Financial Data products. By focusing on operational excellence, data quality, and technical administration, the team directly drives product utility and client trust.

About the Role:

The Research Operations Associate will play a central role in building, maintaining, and evolving our Financial Data content set within our Financial Data team. In this role, you won’t just manage data — you’ll be an integral part of operationalizing our strategy, conducting intensive analysis, and developing the tools that drive team success. This role sits at the intersection of capital markets and data, offering hands-on exposure to both the mechanics of financial markets and the systems that power them. It is an excellent launchpad for someone looking to grow their operational skillset within the finance industry.

Who You Are:

• Education & Market Knowledge: Bachelor’s degree in Finance, Economics, Data Analytics, Mathematics, or a related quantitative field.
• Experience Level: 1+ years of experience in finance or a related analytical field, or equivalent exposure through internships and coursework in statistics, financial accounting, or business analytics.
• Advanced Excel & Data Tools: Proficiency in Excel (VLOOKUPs/XLOOKUPs, Index-Match, Pivot Tables, Data Validation, basic Macro/VBA), SQL for database querying, and Python (Pandas) for automating repetitive data tasks.Visualization & Financial Platforms: Basic experience with Tableau or Power BI; familiarity with Bloomberg, FactSet, or S&P Capital IQ (including through university lab access) is a plus.
• Data Integrity & Attention to Detail: A perfectionist mindset toward data entry, maintenance, and accuracy — in operations, the small things are the big things.
• Documentation, Organization & Time Management: Ability to write clear Standard Operating Procedures (SOPs) for repeatable workflows, while managing recurring deliverables (e.g., weekly reports) alongside ad-hoc requests from senior analysts; must be able to work EST hours.

What You’ll Do:

• Produce Weekly Schedules: Streamline the production of weekly schedules to ensure the Global Equity Research team is positioned for high-velocity output
• Drive Research Prioritization: Develop and refine data-driven reporting frameworks for predictive models, enabling the team to strategically prioritize workflow and resource allocation.
• Identify Growth Opportunities: Conduct rigorous gap analyses to pinpoint areas for coverage expansion.
• Advance Financial Data Content: Audit, evaluate and remediate vendor data questions and entity related matters impacting the flow of Financial Data content.
• Lifecycle Event Management: Serve as a subject matter expert on coverage lifecycle events, facilitating seamless transitions during corporate actions such as acquisitions, delistings, and restructurings.
• Workflow Optimization: Analyze existing workflows and technical documentation to enhance departmental scalability and efficiency.
• Quantify Impact: Synthesize internal KPIs and client engagement metrics into reports that provide visibility into team performance and market reach.
• Tech Stack Administration: Manage user access and permissions across the Research team’s suite of proprietary tools, ensuring secure and uninterrupted workflow.

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

You may also be offered a performance-based bonus, equity, and a generous benefits program.

Base Compensation Range

$51,000—$70,000 USD

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

• AlphaSense never asks candidates to pay for job applications, equipment, or training.
• All official communications will come from an @alpha-sense.com email address.
• If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Team:

The Research Operations team is critical to the evolution and reliability of AlphaSense’s Financial Data products. By focusing on operational excellence, data quality, and technical administration, the team directly drives product utility and client trust.

About the Role:

The Research Operations Associate will play a central role in building, maintaining, and evolving our Financial Data content set within our Financial Data team. In this role, you won’t just manage data — you’ll be an integral part of operationalizing our strategy, conducting intensive analysis, and developing the tools that drive team success. This role sits at the intersection of capital markets and data, offering hands-on exposure to both the mechanics of financial markets and the systems that power them. It is an excellent launchpad for someone looking to grow their operational skillset within the finance industry.

Who You Are:

• Education & Market Knowledge: Bachelor’s degree in Finance, Economics, Data Analytics, Mathematics, or a related quantitative field.
• Experience Level: 1+ years of experience in finance or a related analytical field, or equivalent exposure through internships and coursework in statistics, financial accounting, or business analytics.
• Advanced Excel & Data Tools: Proficiency in Excel (VLOOKUPs/XLOOKUPs, Index-Match, Pivot Tables, Data Validation, basic Macro/VBA), SQL for database querying, and Python (Pandas) for automating repetitive data tasks.Visualization & Financial Platforms: Basic experience with Tableau or Power BI; familiarity with Bloomberg, FactSet, or S&P Capital IQ (including through university lab access) is a plus.
• Data Integrity & Attention to Detail: A perfectionist mindset toward data entry, maintenance, and accuracy — in operations, the small things are the big things.
• Documentation, Organization & Time Management: Ability to write clear Standard Operating Procedures (SOPs) for repeatable workflows, while managing recurring deliverables (e.g., weekly reports) alongside ad-hoc requests from senior analysts; must be able to work EST hours.

What You’ll Do:

• Produce Weekly Schedules: Streamline the production of weekly schedules to ensure the Global Equity Research team is positioned for high-velocity output
• Drive Research Prioritization: Develop and refine data-driven reporting frameworks for predictive models, enabling the team to strategically prioritize workflow and resource allocation.
• Identify Growth Opportunities: Conduct rigorous gap analyses to pinpoint areas for coverage expansion.
• Advance Financial Data Content: Audit, evaluate and remediate vendor data questions and entity related matters impacting the flow of Financial Data content.
• Lifecycle Event Management: Serve as a subject matter expert on coverage lifecycle events, facilitating seamless transitions during corporate actions such as acquisitions, delistings, and restructurings.
• Workflow Optimization: Analyze existing workflows and technical documentation to enhance departmental scalability and efficiency.
• Quantify Impact: Synthesize internal KPIs and client engagement metrics into reports that provide visibility into team performance and market reach.
• Tech Stack Administration: Manage user access and permissions across the Research team’s suite of proprietary tools, ensuring secure and uninterrupted workflow.

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

You may also be offered a performance-based bonus, equity, and a generous benefits program.

Base Compensation Range

$51,000—$70,000 USD

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

• AlphaSense never asks candidates to pay for job applications, equipment, or training.
• All official communications will come from an @alpha-sense.com email address.
• If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

About Us

Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations.

We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly.

We think that outside is the best side and that you can't improve on nature. It's good for mind, body and soul, and it's our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities.

YOUR ROLE

The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You'll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process.

You'll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you're genuinely curious about how this part of the craft is evolving. As an early team member, you'll help shape how we work in this environment, not just execute someone else's playbook.

We're looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn't hesitate to sweep the floor (fix a broken Excel link), isn't afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio.

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics.

Your Responsibilities

• Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You'll own these end-to-end: scoping, building, validating, and communicating findings
• Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work
• Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day
• Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means
• Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you've collaborated on with AI agents, and you'll bring the data intuition that makes that work trustworthy
• Investigate ambiguous data questions where the answer isn't in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business
• Help build and maintain Stio's data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve
• Improve data governance for both the Data & Analytics team and the business at large by creating documentation that's actually useful and that AI agents can consume as context for future work
• Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side
  
  

Your Skills And Experience

• 3+ years of professional experience as a data analyst, analytics engineer, or similar role
• Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off
• Hands-on experience with dbt, including writing models, tests, and documentation. You don't need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like
• Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
• Version control with Git/GitHub as part of your normal workflow
• Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
• A real point of view on AI-assisted development for analytics work — what it's actually good at, where it falls down, what you do to make the output trustworthy
• History of building collaborative, trusting relationships with non-technical stakeholders
• Comfort presenting findings to leadership verbally, in writing, and visually
  
  

Preferred Additional Skills And Experience

Though not required, we would consider the following as an added plus:

• Working knowledge of Python and/or R for analysis
• Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex)
• Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo
• Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company
• Experience working in a small or solo data team where you owned the work end-to-end
  
  

THE FINE PRINT

• Must be able to work in a stationary position 50% - 75% of the work day
• Medical, Dental Vision plans
• Company Paid Long Term Disability
• Employee Assistance Programs
• 401k with Match
• Generous paid time off policies
• Gear test, perks and more
  
  

We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications.

This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.

About Us

Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations.

We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly.

We think that outside is the best side and that you can't improve on nature. It's good for mind, body and soul, and it's our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities.

YOUR ROLE

The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You'll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process.

You'll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you're genuinely curious about how this part of the craft is evolving. As an early team member, you'll help shape how we work in this environment, not just execute someone else's playbook.

We're looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn't hesitate to sweep the floor (fix a broken Excel link), isn't afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio.

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics.

Your Responsibilities

• Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You'll own these end-to-end: scoping, building, validating, and communicating findings
• Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work
• Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day
• Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means
• Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you've collaborated on with AI agents, and you'll bring the data intuition that makes that work trustworthy
• Investigate ambiguous data questions where the answer isn't in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business
• Help build and maintain Stio's data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve
• Improve data governance for both the Data & Analytics team and the business at large by creating documentation that's actually useful and that AI agents can consume as context for future work
• Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side
  
  

Your Skills And Experience

• 3+ years of professional experience as a data analyst, analytics engineer, or similar role
• Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off
• Hands-on experience with dbt, including writing models, tests, and documentation. You don't need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like
• Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
• Version control with Git/GitHub as part of your normal workflow
• Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
• A real point of view on AI-assisted development for analytics work — what it's actually good at, where it falls down, what you do to make the output trustworthy
• History of building collaborative, trusting relationships with non-technical stakeholders
• Comfort presenting findings to leadership verbally, in writing, and visually
  
  

Preferred Additional Skills And Experience

Though not required, we would consider the following as an added plus:

• Working knowledge of Python and/or R for analysis
• Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex)
• Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo
• Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company
• Experience working in a small or solo data team where you owned the work end-to-end
  
  

THE FINE PRINT

• Must be able to work in a stationary position 50% - 75% of the work day
• Medical, Dental Vision plans
• Company Paid Long Term Disability
• Employee Assistance Programs
• 401k with Match
• Generous paid time off policies
• Gear test, perks and more
  
  

We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications.

This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.

Job Title: Data Analyst

Location: Remote

About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.

The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.

What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes

What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams

Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being

If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

Job Title: Data Analyst

Location: Remote

About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.

The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.

What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes

What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams

Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being

If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

Job Title: Data Analyst

Location: Remote

About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.

The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.

What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes

What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams

Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being

If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

We are looking for a detail-oriented Data Entry Professional to accurately input and maintain data in our systems. The ideal candidate will have fast typing skills, excellent attention to detail, and the ability to handle confidential information. If you are organized, reliable, and have a keen eye for accuracy, we’d love to hear from you!

Roles & Responsibilities

• Input data from source documents accurately and efficiently.
• Verify data accuracy by cross-checking information.
• Maintain and update databases and records.
• Identify and correct data discrepancies.
• Organize and store documents digitally and securely.
• Generate reports and retrieve data as requested.
• Assist in data analysis and reporting tasks.
• Maintain confidentiality of sensitive information.
• Collaborate with team members to ensure data consistency.
• Perform regular backups to secure data integrity.
  
  
  

Requirements & Skills

• Proven experience as a Data Entry Professional or similar role.
• Excellent typing speed and accuracy.
• Strong attention to detail and data accuracy.
• Proficiency in Microsoft Office Suite (Excel, Word).
• Familiarity with data entry software and databases.
• Good organizational and time management skills.
• High school diploma or equivalent is required.
• Ability to handle confidential information with integrity.
• By applying to this position, we’ll create your Simera Professional Key (SPK) — a unique key that helps you connect with employers, stand out, and secure the right match.
  
  
  

If you'd also like to apply to multiple jobs that match your experience, create your account and complete your profile to get discovered by hundreds of employers around the world.

Create Your Account

We are looking for a detail-oriented Data Entry Professional to accurately input and maintain data in our systems. The ideal candidate will have fast typing skills, excellent attention to detail, and the ability to handle confidential information. If you are organized, reliable, and have a keen eye for accuracy, we’d love to hear from you!

Roles & Responsibilities

• Input data from source documents accurately and efficiently.
• Verify data accuracy by cross-checking information.
• Maintain and update databases and records.
• Identify and correct data discrepancies.
• Organize and store documents digitally and securely.
• Generate reports and retrieve data as requested.
• Assist in data analysis and reporting tasks.
• Maintain confidentiality of sensitive information.
• Collaborate with team members to ensure data consistency.
• Perform regular backups to secure data integrity.
  
  
  

Requirements & Skills

• Proven experience as a Data Entry Professional or similar role.
• Excellent typing speed and accuracy.
• Strong attention to detail and data accuracy.
• Proficiency in Microsoft Office Suite (Excel, Word).
• Familiarity with data entry software and databases.
• Good organizational and time management skills.
• High school diploma or equivalent is required.
• Ability to handle confidential information with integrity.
• By applying to this position, we’ll create your Simera Professional Key (SPK) — a unique key that helps you connect with employers, stand out, and secure the right match.
  
  
  

If you'd also like to apply to multiple jobs that match your experience, create your account and complete your profile to get discovered by hundreds of employers around the world.

Create Your Account

Do you enjoy digging for answers online? Do friends say you’re the most organized person they know? Do you like the variety of back office work and talking to people? Turn those strengths into a career! Join us as a Property Analyst, where you’ll transform online research into polished reports for U.S. real estate clients - all from the comfort of your home!

We are looking to hire for our next paid training class that starts on Tuesday, July 14th with the schedule of 8:30am-5pm EST.

What to expect with the interview process? If you meet the minimum requirements, including the location requirement, you will be invited to take a 10-minute assessment online that is a small sample of the type of work we do. This helps to give you a preview of the job, while also demonstrating if it is a good fit. If you pass the assessment, you will be invited to a live video interview around 45-60 minutes.

Essential Department-Specific Functions

• Summarize and compile reports using our proprietary software
• Utilize our proprietary production environment for product fulfillment
• Coordinate with our internal Client Experience team to ensure client needs are met
• Search property management records
• Make multiple phone calls and send emails with requested orders to ensure we meet our client’s deadlines
• Examine documents for completeness, accuracy, or conformance to product standards
• Use computers to enter, access, or retrieve data
• Maintain detailed records, reports, and files
• Use library or online Internet research techniques
• Data entry
• Write business correspondence
• Understand Homeowners’ Associations and the Florida Estoppel Statute (training will be provided)
• Utilize Adobe Acrobat to compile and edit reports
• Maintain productivity and quality KPIs, as assigned based on training milestones
• Other duties, as assigned

When will you work?

This is a full-time remote position, and typical hours of work and days are Monday through Friday, 8:30 a.m. to 5 p.m. Eastern Time. Occasional evening may be required as job duties demand. Applicable overtime laws will apply.

Qualifications and Education Requirements

• At least 2 years of work experience, such as customer service or research
• High School or equivalent / GED
• We are only setup to hire remotely in certain states - FL, TX, AL, TN, NC, GA, IL, MI, ND, VA and the schedule is EST, regardless of location

Preferred Skills

• Extremely preferred to have worked in the title industry and be familiar with terminology such as municipal lien searches, estoppels, surveys, release tracking, etc.

• Critical Thinking / problem solving

• Excellent time management

• Proven technical skills

• Excellent and precise data entry and typing skills

• Excellent verbal and written communication skills

• Proficient in Google, Adobe, and other related computer software

• Good organizational skills and attention to detail

• Ability to keep the information confidential

• Ability to work independently

• Friendly and helpful demeanor

• Computer Savvy

Insurance

• Multiple health, dental & vision insurance plans to choose from
• FREE Employer-Paid Life Insurance, optional voluntary life for spouse, children, family
• FREE Employer-Paid STD
• Other voluntary options include: LTD, AD&D, Critical Illness, and other supplemental options
• Employee Assistance Program

Financial

• 401(k) match program
• After successful completion of training and meeting minimum performance standards, there will be monthly bonus potential

Time Off

• Minimum 15 PTO days (prorated based on first year’s start date), then more for each year of service
• 8 paid holidays

Equal Employment:

It is the established policy of the Company, to provide equal employment opportunities to all qualified persons and to administer all aspects and conditions of employment without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical or mental disability, medical condition, marital status, ethnicity, genetics, alienage or any other protected classification, in accordance with applicable federal, state, and local laws.

E-Verify Employer: PropLogix participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Notice to external Recruiters and Recruitment Agencies:

PropLogix does not accept unsolicited headhunter and agency resumes. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to any employee. PropLogix and any of our subsidiaries will not pay fees to any third-party agency or company.

Company Description

REMAX Hawaii (formerly Better Homes and Gardens Real Estate Advantage Realty) provides comprehensive residential real estate services across Oahu and Maui.

Celebrating 20 years of doing business in Hawaii, locally owned REMAX Hawaii has 6 offices across Oahu and Maui in Kahala, Kailua, Kakaako, Haleiwa, Kapolei and Wailuku with over 200 employees and licensed agents.

They have created a clear strong corporate culture which has been a key to the growth and success of our company. Their agents and support staff are client centric and put the clients’ needs ahead of their own. Their core values of honesty, transparency, collaboration, commitment, charity, innovation and strong work ethic are communicated to the agents and employees from the initial interview and throughout every company interaction

Voted Hawaii’s Best Real Estate Firm the past 13 years and a Best of Honolulu Company for 11 years. The company was also recognized as one the Best Places to Work by Hawaii Business magazine for the 6th year in a row.

Learn more at http://remaxhawaii.com

Job Description

In your role as a real estate data entry operator, you will play a crucial role in upkeep and updating our database. In order to maintain correct and current records, you will be responsible for accurately entering a variety of data. The ideal candidate for this role will have strong organizational skills, a sharp eye for detail, and the capacity to work independently in a remote setting.

Pay: $26.81 - $29.97 per hour

Responsibilities

• Update and add transactions, client information, and real estate data to the database.
• Examine and amend data to make sure it is accurate and comprehensive.
• Collaborate with your teammates to resolve any discrepancies found in the data.
• Be mindful of privacy and abide by data security regulations.
• Assist in creating reports and presentations using the data acquired.
• Performing secretarial duties entails filing, monitoring office supplies, scanning, and printing as needed.

Qualifications

• A high school certificate or its equivalent; a bachelor’s degree is ideal but not necessary.
• Solid background in data entry or a related field.
• Strong command of the language and procedures used in real estate.
• A strong command of computers, including the MS Office suite and data input programs.
• Remarkable precision and attention to detail.
• The capacity to operate autonomously with little guidance.
• Outstanding organizing and time management skills.
• Good communication abilities, particularly while working in a remote team.

Additional Information

REMAX Hawaii is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. All your information will be kept confidential according to EEO guidelines.

We are global private markets specialists delivering tailored investment solutions, advisory services, and impactful, data driven insights to the world’s investors. Leveraging the power of our platform and our peerless intelligence across sectors, strategies, and geographies, we help identify the advantages and the answers our clients need to succeed.

Position Overview

As a Junior Analyst on the AI Initiatives team, you will support the development, testing, and operationalization of AI-driven data pipelines that enhance portfolio monitoring and private-markets analytics. This is an early-career role ideal for someone who enjoys hands-on data work, problem-solving, and learning how AI can be applied in private-markets investing. You will be instrumental in the analytical core of the team, ensuring our AI/ML models are accurate, efficient, and deliver maximum insight

Key Responsibilities

• Model Validation and Performance Tuning: Assist in running, analyzing, and improving the performance of existing AI/ML pipelines.
• Assist in complex data structuring challenges by applying cleaning and transformation techniques across heterogeneous inputs, including large-scale database extracts (SQL), proprietary documents, and legacy data in Excel, to ensure maximum data integrity for AI initiatives.
• Backtesting and Scenario Analysis: Design and execute backtests and scenario analyses based on senior team hypotheses to stress-test model robustness and quantify potential investment impact.
• Integration Testing & Requirement Definition: Collaborate closely with the engineering team by testing the integration of model outputs into internal tools. Document specific data and format requirements necessary for operationalizing new AI features.
• Process Automation and Efficiency: Actively seek opportunities to streamline workflow efficiency and reduce latency in the AI pipeline, taking the lead on automating key analytical and reporting components.
• Advanced Data Sourcing (SQL): Write sophisticated SQL queries

Required Knowledge, Skills, And Abilities

• Bachelor’s or Master’s degree in a quantitative discipline (e.g., Finance, Economics, Statistics, Mathematics, Computer Science, Data Science) or related field.
• 0-2 years of relevant experience (e.g., internships, research, coding projects).
• Foundational proficiency in Python.
• Familiarity with Excel, Microsoft Apps, and Git.
• Strong attention to detail, ability to critically check work, and commitment to data integrity.
• Solid written and verbal communication skills; comfortable translating technical concepts for non-technical stakeholders.
• Proactive, curious, collaborative mindset; ability to operate in a fast-paced environment and support team goals.
• Willingness to learn and grow, asking questions and taking ownership of tasks.

Other Attributes

• Coursework or project experience in machine learning, statistics, or data modelling.
• Prior internship or project experience in finance, consulting or data analytics.
• Basic understanding of private markets (private equity, infrastructure, secondaries) and investment terminology.

Salary: $30 per hour

The salary range is an estimate of pay for this position.  Actual pay may vary depending on job-related factors that can include location, education, skill, and experience.  The salary range does not include any benefits or other forms of possible compensation that may be available to employees.

#LI-Hybrid

At StepStone, we believe that our people are our most important asset and crucial to our success.  We are an Equal Opportunity Employer that strives to create an environment that empowers our employees and allows them to be heard, regardless of title or tenure.  Our organizational community features multiple Employment Resource Groups as well as mentorship programs to enhance the employee experience for all.

As an Equal Opportunity Employer, StepStone does not discriminate on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, sexual orientation, gender identity, gender expression, genetic information or any other characteristic protected by law.

Candidates must be at least 18 years old to apply.

Developing People at StepStone

We are global private markets specialists delivering tailored investment solutions, advisory services, and impactful, data driven insights to the world’s investors. Leveraging the power of our platform and our peerless intelligence across sectors, strategies, and geographies, we help identify the advantages and the answers our clients need to succeed.

Position Overview

As a Junior Analyst on the AI Initiatives team, you will support the development, testing, and operationalization of AI-driven data pipelines that enhance portfolio monitoring and private-markets analytics. This is an early-career role ideal for someone who enjoys hands-on data work, problem-solving, and learning how AI can be applied in private-markets investing. You will be instrumental in the analytical core of the team, ensuring our AI/ML models are accurate, efficient, and deliver maximum insight

Key Responsibilities

• Model Validation and Performance Tuning: Assist in running, analyzing, and improving the performance of existing AI/ML pipelines.
• Assist in complex data structuring challenges by applying cleaning and transformation techniques across heterogeneous inputs, including large-scale database extracts (SQL), proprietary documents, and legacy data in Excel, to ensure maximum data integrity for AI initiatives.
• Backtesting and Scenario Analysis: Design and execute backtests and scenario analyses based on senior team hypotheses to stress-test model robustness and quantify potential investment impact.
• Integration Testing & Requirement Definition: Collaborate closely with the engineering team by testing the integration of model outputs into internal tools. Document specific data and format requirements necessary for operationalizing new AI features.
• Process Automation and Efficiency: Actively seek opportunities to streamline workflow efficiency and reduce latency in the AI pipeline, taking the lead on automating key analytical and reporting components.
• Advanced Data Sourcing (SQL): Write sophisticated SQL queries

Required Knowledge, Skills, And Abilities

• Bachelor’s or Master’s degree in a quantitative discipline (e.g., Finance, Economics, Statistics, Mathematics, Computer Science, Data Science) or related field.
• 0-2 years of relevant experience (e.g., internships, research, coding projects).
• Foundational proficiency in Python.
• Familiarity with Excel, Microsoft Apps, and Git.
• Strong attention to detail, ability to critically check work, and commitment to data integrity.
• Solid written and verbal communication skills; comfortable translating technical concepts for non-technical stakeholders.
• Proactive, curious, collaborative mindset; ability to operate in a fast-paced environment and support team goals.
• Willingness to learn and grow, asking questions and taking ownership of tasks.

Other Attributes

• Coursework or project experience in machine learning, statistics, or data modelling.
• Prior internship or project experience in finance, consulting or data analytics.
• Basic understanding of private markets (private equity, infrastructure, secondaries) and investment terminology.

Salary: $30 per hour

The salary range is an estimate of pay for this position.  Actual pay may vary depending on job-related factors that can include location, education, skill, and experience.  The salary range does not include any benefits or other forms of possible compensation that may be available to employees.

#LI-Hybrid

At StepStone, we believe that our people are our most important asset and crucial to our success.  We are an Equal Opportunity Employer that strives to create an environment that empowers our employees and allows them to be heard, regardless of title or tenure.  Our organizational community features multiple Employment Resource Groups as well as mentorship programs to enhance the employee experience for all.

As an Equal Opportunity Employer, StepStone does not discriminate on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, sexual orientation, gender identity, gender expression, genetic information or any other characteristic protected by law.

Candidates must be at least 18 years old to apply.

Developing People at StepStone

Company Description

Here at Gameloft, we create moments of happiness for our players all over the world through exciting gaming experiences. This is our mission, and it has been the same for over 20 years.

We are the proud creators of Asphalt, Dungeon Hunter, Modern Combat, and over 200 other great games. There is a game for everyone, and we are now expanding to cross-platform games on PC and consoles, with titles such as Disney Speedstorm and Disney Dreamlight Valley, to provide our players with even more amazing adventures. With more than 3,400 passionate Gamelofters across the globe, we take great pride in our differences and draw on them to create games just as diverse as we are.

If you’re looking for a new challenge and want to work with a bold and talented group of people, don’t hesitate to join the game!

Job Description

The BI Reporting team is responsible for the development, validation, and deployments of data/sales reports. We are using various reporting processes and tools in order to improve monetization strategy, economy balancing, retention, user engagement and various game features, through customer behavior and market analysis.

A Reporter is responsible to keep an active communication with all the other internal departments and external partners (if needed), through constant data-driven reports, in order to improve and support decision making in the company.

Responsibilities:

• Use our internal reporting tools to generate sales and user behavior reports;
• Structure data and prepare reports in Excel; use the report-writing and analytical skills to turn the data in meaningful business information;
• Provide quality checks in order to assure data correctness;
• Maintain documentation related to reports, personal tasks and team procedures;
• Communicate with international teams involved, in order to assure the best analytics, on the set deadlines.
• Set up and follow up, with internal and external partners/departments if stats are in line with the contracts signed;
• Communicate with international teams involved, in order to assure the best analytics results on time
• Define metrics, dashboards and reports, based on client specifications, to evaluate the game’s or partners performances;

Qualifications

• Mastery of Excel, and good Microsoft Office knowledge;
• Fluent in written and spoken English, with concise writing skills;
• Strong analytical competencies and formal thinking; Ability to use the report-writing and analytical skills in order to provide client support, through data-driven feedback;
• Able to plan and organize, estimate deadlines, prioritize workload and complete multiple tasks;
• Excellent communication skills and ability to integrate quickly into a team;
• Autonomous, rigorous, self-motivated, problem-solving attitude, flexible, calm;
• High attention to detail without compromising the ability to keep track of the assigned ongoing tasks;
• Opened to managing task groups, projects and people in time.

Nice to have:

• VBA Macro for Excel, Looker and SQL/Python programming;
• Work experience in the gaming market (in role of: Reporting Specialist, Business Intelligence Specialist, Data analyst, Media planner.).

Additional Information

Why Join the World of Gameloft?

• Because you want to be part of an exceptional experience within a company that is constantly growing!
• Because you want to work with talented people who are industry pioneers!
• Because you want to be part of an international environment with daily contact with other countries & cultures!
• Because you want to work in an inclusive equal opportunity workplace!
• Or, just because you’re looking for a great place to work!

Benefits:

• Hybrid Work (2 days/week from the office);
• 2 months/year of full remote to work from anywhere you want!
• MyBenefits platform;
• Day off for your birthday, your children`s birthday and company’s anniversary. Everyone is celebrated!
• Short Friday, so you can start your Weekend at 4pm!
• Medical subscription package, in partnership with Regina Maria Clinic;
• Unique creative and professional work culture that embraces diversity;
• Supportive working climate, a team with a free communication style;
• Bookster (borrow books for free, delivered in the office);
• All the usual perks: free coffee, free fruits, relaxation area;

https://www.gameloft.com/gameloft-studios/bucharest

The world’s most advanced VPN, and a whole lot more.

If you’re a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet—tools that put privacy, security, and control back in people’s hands.

Your impact? Helping millions take back control of their online security, privacy, and data.

Main Responsibilities

• Acquire data from various data sources (APIs, relational and non-relational databases, queues …) by developing scripts, workflows, and ETL pipelines
• Support ETL processes and data transformations to address stakeholder requests
• Maintain existing data models’ integrity and structure on the data warehouse
• Use GitLab for version control, managing branches, creating merge requests, and conducting peer code reviews
• Monitor and analyze pipeline performance and data accuracy
• Participate in code reviews and writing unit tests to ensure high-quality solutions
• Ensure all pipelines and processes comply with internal guidelines and requirements
• Closely work with data analytics team to help them automate repetitive tasks, improve efficiency and consistency, also create ad-hoc datasets
• Discover opportunities for data acquisition, diagnostics, mapping, and correction
• Recommend and validate different ways to improve data reliability, efficiency, and quality
• Collaborate closely with cross-functional teams to ensure accurate understanding of data and business processes

Core Requirements

• Advanced proficiency in Python, experience with PySpark
• Basic knowledge of interacting with APIs (API requests)
• Familiarity with MinIO or similar environments for large-scale data workloads
• Comfortable working with GitLab (creating branches, committing code, creating merge requests, code reviews)
• Understanding of Git workflows and best practices
• Hands on experience with unit testing and code reviewing
• Experience with Apache Airflow (creating and maintaining data pipelines) or familiarity with other orchestration tools is a plus
• Passion for data analysis with focus on data quality
• Experience creating dashboards in tools like Looker or Grafana is a plus
• Proficiency in SQL, experience with BigQuery and dbt (data build tool) is a plus
• Knowledge of OpenSearch is a plus
• Ability to critically assess incoming requests, clarify requirements, and define a clear execution roadmap
• Excellent communication skills, problem-solving abilities, and a collaborative mindset

Tool You Will Use

• Python & PySpark
• Apache Airflow
• GitLab
• Looker & Grafana

Salary Range

• Monthly gross salary from 2600 - 4800 EUR.

What We Offer

Innovate with industry leaders

Work alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world.

Learn & grow

Boost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company.

Work in a next-gen Cyber City office

Thrive in our bustling office, featuring ergonomic workspaces, modern meeting rooms, engaging events, and specialty coffee to fuel your day.

Hybrid work

Enjoy the flexibility with 3 office days and working from home for the remaining 2.

Work from anywhere

Recharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive.

Physical well-being

Boost your health with free-of-charge 24⁄7 gym access, onsite and online workouts, and consultations led by in-house Physical Well-Being experts.

Mental & emotional health

Nurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic.

Premium healthcare

Receive private health insurance giving you peace of mind for your health needs.

Extra days off

Enjoy additional vacation days off as you grow with us. Plus, get extra days for sick leave, special occasions, or parenting needs.

Joyful moments – special treats

Celebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member.

Company events & team-building

Experience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success.

Workation

Embark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together.

Kindly refer to our Privacy Notice for Recruitment Candidates for comprehensive information regarding our data handling procedures throughout recruitment processes: https://bit.ly/40GWyjL

We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we’ll let you know in advance.

By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes. As part of our recruitment process, we may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role. This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter.

If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at [email protected]. Should you prefer to opt out of the automated evaluation, please submit your application directly to [email protected].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Description

At Euronet, we don’t just build payment solutions—we shape the future of how the world moves money as a global leader in payments processing and cross-border transactions. From mobile wallets and card issuing to real-time payment platforms, our products drive digital transformation in 160+ countries.

We’re looking for a Transaction Data Analyst to become a part of our talented team.

Your Life @Euronet

As a #Euronetter, you’ll be part of a truly human-centered culture built on trust, respect, and cooperation. Your contributions will be recognized, and your growth supported through meaningful career development opportunities.

Perks & Benefits That Matter

• Good Base Salary
• Cafeteria above the market average
• Bonus based on company performance
• Health care package
• Work from home 2 days a week in our Warsaw office
• Permanent trainings
• Office in a very central location with easy access by public transport
• Excellent career prospects within a multinational organization with leading position in the market and ambitious expansion plans.
• Supportive teams
• Opportunity to work in a dynamic, stable, and international environment.

How You’ll Make an Impact:

Value adding, risk mitigating and business critical activities such as:

• Preparing Settlement Data for Euronet’s Acquiring;
• Process incoming, outgoing files and reports;
• Identify, report and track discrepancies;
• Provide guidance during the investigation of processing issues;
• Prepare weekly and monthly reports, summaries and statistics;
• Support companywide automation projects;
• Provide project management support during UAT and pilot phase;
• Provide data driven feedbacks to the management after the product lunch.

You will have the opportunity to learn transactional processes through Euronet’s systems and between the International Card Organisations (e.g. VISA, MasterCard, JCB, UPI, AMEX, Diners, Alipay).

What Makes You a Great Fit :

• Bachelor’s degree in (preferably) business administration, Finance or Information Technology;
• Previous experience with Data Analysis and Reporting
• Spoken and written English knowledge;
• Microsoft Office (especially Excel);
• Genuine interest in the Payment Card Industry.

What Will Help You Thrive

• Hard-working and can-do attitude
• Excellent analytical and problem solving skills, detail-oriented approach
• Team player attitude as you can really contribute to team success.

At Euronet, we are an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

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