Jobs Data Analyst

We are looking for a Data Analyst to take ownership of regular and clear analytics. The primary focus of this role is the efficient extraction of data from corporate databases and its visualization using Power BI.

This position involves executing clearly defined dashboard-building tasks, without involvement in deep ad-hoc research or testing product hypotheses.
 

📋 Key Responsibilities:

• Formulate and execute complex SQL queries to extract and prepare data from relational databases.
• Develop, deploy, and maintain analytical dashboards in Power BI.
• Perform data modeling in Power BI and create calculated metrics and indicators using DAX.
• Automate report refresh processes and ensure data accuracy and timeliness.
• Collaborate with cross-functional teams to clarify requirements regarding report structure and format.
   

⚙️ Qualifications & Requirements:

• Strong SQL proficiency: writing complex queries, working with aggregations, JOINs, subqueries, and window functions.
• Hands-on experience with Power BI: building reports from scratch, configuring table relationships, and intermediate DAX knowledge.
• Understanding of database design principles and query optimization.
• Knowledge of Data Visualization Best Practices to build intuitive and user-friendly reports.
• High attention to detail and accountability for the accuracy of calculated metrics.
   

🎁 What We Offer:

• Format: Remote work, 5/2 schedule.
• Payments: In USDT.
• Remuneration: Competitive salary + bonuses based on the results of the department you build.
• Growth: Opportunity for growth within the project.
• Benefits: Paid vacation and sick leave.

We're Hiring: Data Analyst — Product & Marketing Analytics | Remote
We're looking for a hands-on Data Analyst to help drive product and marketing decisions for a B2C iGaming business.
This role combines product analytics, marketing performance, unit economics and data reliability. We're looking for someone who can work independently with raw transactional data, build reliable reporting from scratch, and turn analysis into clear business recommendations.
What you'll do
• Own weekly reporting across GEOs, including registrations, FTDs, deposits, withdrawals, GGR/NGR, bonus rate and active players.
• Analyse acquisition sources, affiliate caps, FTD cost, LTV and cohort-based traffic payback.
• Evaluate bonus and CRM campaign economics, including A/B tests and control-group analysis.
• Work with event and historical data across Kafka, ClickHouse and Athena/S3.
• Build and maintain Grafana dashboards and monitoring.
• Reconcile internal metrics with platform reports, investigate discrepancies and validate data completeness.
• Present actionable recommendations to Product and leadership: what to scale, optimise or stop, and what impact to expect.
What we're looking for
• 3+ years of experience in product or marketing analytics in a B2C business.
• Strong SQL skills, including complex queries, window functions, cohort analysis and query optimisation.
• Hands-on experience working with raw event and transaction data and building reporting from scratch.
• Practical experience with ClickHouse, Athena/S3, Kafka and Grafana.
• Strong understanding of unit economics, LTV, retention, acquisition cost and bonus economics.
• Working knowledge of Python/pandas for data processing and automation.
• Ability to communicate findings clearly and translate data into business decisions.
Experience in iGaming or betting is a strong plus, particularly familiarity with GGR, NGR, bonus rate and the registration → first deposit → repeat deposit funnel. Candidates from fintech, e-commerce and mobile gaming with relevant transactional analytics experience are also welcome.
What we offer
• Fully remote work.
• Working hours: 9:00–18:00.
• Preferred time zones: UTC+2 to UTC+6.
• Compensation: 2,000–3,000
• Growth opportunities towards Lead Analyst, with ownership of the brand's reporting and data warehouse, and potential to build an analytics team as the business expands.

About the Role

LiftIQ is looking for a Senior Analytics Engineer / BI Product Engineer to build the
reporting and analytics products our teams use to run the business.
This is not a traditional BI role where stakeholders provide specifications and you simply
build dashboards. We need someone who can understand the underlying business
problem, determine what users actually need, and turn ambiguous requests into accurate,
actionable analytics.

Often, the best solution will be different from what was originally requested. You should be
comfortable challenging requirements, identifying insights users did not know to ask for,
and designing reports that help people make decisions—not simply giving them more data.
This is also a highly technical full-stack analytics role that blends analytics engineering
with BI product engineering. You will work across BigQuery, dbt, TypeScript, Next.js, and
React, using Claude Code extensively to accelerate development.

Data correctness is critical. Wrong numbers are worse than crashes.
You will own the accuracy, reliability, and usability of LiftIQ’s reporting products
end‑to‑end—from data modeling and metric definitions to dashboard experience and
permissions.

What You’ll Do
• Work directly with stakeholders to understand business questions and translate
them into useful analytics products.
• Design metrics, reports, dashboards, and visualizations that surface actionable
insights.
• Write sophisticated BigQuery SQL and build/extend dbt models,data marts and
dimensional models (facts, dimensions, semantic layers)
• Reconcile reporting against source systems and investigate data discrepancies.
• Build dashboards end-to-end across the data layer, semantic layer, application
layer, permissions, and automated tests.
• Use Claude Code heavily while maintaining ownership of the underlying
architecture, logic, and data correctness.
• Protect sensitive financial and compensation data through rigorous server-side
access controls.
• Write automated tests for metrics, business rules, and permissions.
• Document business logic, metric definitions, and data models to ensure clarity and
consistency across teams
What We’re Looking For

• Essential
  Exceptional SQL skills
• Deep experience with analytical SQL, including complex joins, window functions,
• attribution, aggregation, data grain, reconciliation, and performance. BigQuery experience
• is strongly preferred.
• Strong analytical and business judgment
• You can understand what decision a stakeholder is trying to make, determine which
• metrics matter, and design something more useful than simply fulfilling the original
• request.
• Strong requirements-gathering skills
• You are comfortable working directly with business users, asking the right questions,
• understanding unfamiliar processes, and turning ambiguity into a clear solution.
• dbt experience
• Experience using dbt in a high-scale production data environment. Experience with
• dimensional modeling, semantic layers, and metric governance.
• Data skepticism
• You instinctively validate, reconcile, spot-check, and investigate. You should be
• uncomfortable shipping a number you cannot explain.
• Testing discipline
• Experience building testable analytics logic and automated tests for metrics and business
• rules. Experience with version control, PR hygiene, and modular analytics engineering
• practices.

• English: strong working proficiency (B2+), with the ability to communicate directly with business stakeholders and gather requirements.

   

Nice to Have
• Performance or affiliate marketing experience, including CPL, CPA, EPC, ROAS, and
media-buying economics
• Experience with platforms such as Everflow, Ringba, RedTrack, Voluum,
LeadProsper, or HubSpot
• GCP / Cloud Run / Cloud Scheduler / Cloud Build
• Python ETL and API integrations
• Payroll or commission systems experience
• Claude API or other LLM application development
• Interactive data visualization
• Playwright / E2E testing
Tech Stack
Data: BigQuery, dbt, Python ETL, Google Sheets
Application: Next.js 14, TypeScript, React, Tailwind, NextAuth, Neon Postgres
AI: Claude Code, Claude API
Testing: Vitest
Infrastructure: GCP, Cloud Run, Cloud Scheduler, Cloud Build, Docker
What Success Looks Like
A strong person in this role becomes someone the business brings problems, not
dashboard specifications.
If someone says, “I need to understand why this buyer’s margins dropped,” you should be
able to understand the business context, interrogate the data, identify the relevant metrics
and potential causes, and build something that makes the answer clear.

You should be equally comfortable debugging a subtle SQL grain issue, talking with a
stakeholder about how their business works, and using Claude Code to turn the resulting
solution into a production dashboard.

This is a full-stack analytics role, but the hardest part of the job is data correctness,
modeling discipline, and analytical judgment—not frontend development.
Success also means stakeholders trust your numbers without hesitation, dashboards
become decision tools rather than data dumps, and metric definitions remain consistent
across teams.

We are looking for an experienced Product Analyst with a strong iGaming background to analyze product performance, player behavior, acquisition quality, and key business metrics.

The role requires a strong understanding of both product analytics and affiliate traffic economics within Casino and/or Sportsbook.
 

Responsibilities

• Analyze key iGaming metrics: GGR, NGR, LTV, ARPU, Retention, Churn, Conversion, ROI, Payback
• Analyze player behavior, cohorts, segmentation and lifecycle
• Identify bottlenecks and growth opportunities across the registration → deposit → active player funnel
• Conduct deep-dive product analysis and turn data into actionable business recommendations
• Design, evaluate and interpret A/B tests
• Analyze the impact of product changes, bonuses, promotions and new features
• Build and maintain dashboards and automated reporting
• Analyze affiliate traffic performance by partner, source, GEO and acquisition model
• Evaluate traffic quality based on FTD, Deposits, GGR/NGR, LTV, Retention, ROI and Payback
• Analyze CPA, RevShare and Hybrid acquisition models and partner performance
• Identify high- and low-performing traffic sources and opportunities for optimization and scaling
• Work closely with Product, Affiliate, CRM and Marketing teams

Requirements

• 3+ years of experience in Product / Data Analytics
• Hands-on iGaming / Gambling experience is mandatory
• Strong understanding of Casino and/or Sportsbook products and player behavior
• Strong knowledge of SQL
• Experience with Power BI, Tableau, Looker or similar BI tools
• Strong experience with cohort, funnel, retention and LTV analysis
• Practical experience with A/B testing
• Understanding of iGaming affiliate marketing and traffic economics
• Experience analyzing affiliate traffic and partner performance
• Understanding of CPA, RevShare, Hybrid, CAC, ROI and Payback
• Python for data analysis is a strong advantage
• Ability to translate data into clear conclusions and business recommendations

We Offer

• Competitive salary.
• Fully remote position.
• Flexible working hours.
• Opportunity to work with an international iGaming company operating across multiple markets.
• Professional growth in a fast-paced environment.

Candidates without previous iGaming / Gambling experience will not be considered

Strim Duo is a creative digital studio based in Limassol, Cyprus. We specialize in social game development, product engineering, UX/UI design, custom software solutions, mobile apps, and post-launch product support.
Our mission is to build products that work seamlessly across devices, delivering engaging experiences for millions of users worldwide.

The expertise we’re looking for:

• 3+ years in product or data analytics.
• Strong SQL: complex joins, window functions, query performance on large datasets (ClickHouse experience is a plus).
• Hands-on experience with at least one BI tool (QuickSight, Power BI, Tableau or similar).
• Solid understanding of statistics for experiments: significance, power, common pitfalls such as peeking and multiple comparisons.
• Python or R for analysis beyond what SQL covers.
• Ability to explain findings to non-analysts in plain language
• English (B2 or higher).

Would be a plus:

• iGaming experience and familiarity with core metrics: GGR (gross gaming revenue, total bets minus total wins), RTP (return to player, the share of bets paid back as wins), bet volume, retention.
• Experience with data quality checks or building data pipelines.

Your responsibilities will include:

• Own analytics for a set of games or a product area: KPIs, regular reporting, deep dives into player behaviour.
• Design and analyse A/B tests for game mechanics and features, from hypothesis and sample size to the final read-out.
• Build and maintain dashboards in QuickSight / Power BI on top of data in ClickHouse.
• Work with game designers, product managers and data engineers to define metrics and make sure tracking is correct.
• Take part in improving our BI setup, including data models and reporting migration.

We are looking for someone who treats an analytical area as their own, not as a queue of tickets. In practice that means:

• You take a question from a stakeholder and work out what decision it is meant to support, before you write any SQL.
• You notice when a number looks wrong (in your report or someone else’s) and chase it to the root cause instead of passing it on.
• You keep your dashboards and data pipelines alive after release: you know who uses them, check that they still show correct data, and retire what nobody needs.
• You raise problems and trade-offs early, with a proposed way forward, rather than waiting to be asked.
• You finish things: a piece of analysis ends with a clear conclusion and a recommendation, not just a table.

What we offer

• Corporate psychologist;
• Gifts for significant occasions;
• Legal support;
• Flexible working hours;
• Direct access to C-level and opportunity to suggest new business ideas and drive changes.

If you are ready to work in a dynamic team, passionate about the product, technology, and the world of entertainment, we’re waiting for your CV and portfolio to schedule an online/offline meeting and get to know each other better!

Your CV will be carefully reviewed by our TA department, and if it meets the requirements of the position, we will contact you within 3 business days to discuss the possibility of scheduling an interview.

We are looking for an experienced Senior / Lead Data Analytics Manager to build and lead the analytics function for our Cards & Wallets business.

This is a hands-on role for someone who enjoys working with large-scale transactional data, building analytical infrastructure from the ground up, and turning complex datasets into actionable business insights.

You will work closely with Commercial, Finance, Product, and Operations teams, helping them make data-driven decisions through reliable analytics, dashboards, and reporting.

What You'll Do

Build the Analytics Foundation

• Design and build an end-to-end analytics infrastructure for the Cards & Wallets business.
• Design and maintain analytical data models, data marts, and reporting datasets.
• Build and improve the company's analytical Data Lake.
• Ensure data consistency, quality, and reliability across multiple systems.
• Create a unified customer view across different data sources.

Business & Product Analytics

• Analyze large transactional datasets to identify trends, customer behavior, and business opportunities.
• Build customer segmentation, cohort analysis, retention analysis, and LTV models.
• Analyze transaction behavior across products, BINs, merchants, geographies, and customer segments.
• Identify business patterns and proactively suggest improvements based on data.

BI & Dashboards

• Design and develop business dashboards using Tableau, Power BI, Metabase, or similar BI platforms.
• Build dashboards that become daily decision-making tools for Commercial, Finance, Product, and Operations teams.
• Automate recurring reporting and reduce manual reporting efforts.
• Ensure the accuracy and consistency of analytical reports.

Commercial Analytics

• Support pricing analysis and unit economics through data-driven insights.
• Analyze transaction profitability and business performance.
• Build analytical models to evaluate pricing changes and business scenarios.
• Help commercial teams understand customer behavior and revenue opportunities.

Executive Reporting

• Prepare analytical reports for senior management.
• Transform complex data into clear recommendations and actionable insights.
• Work closely with business stakeholders to answer analytical questions and support strategic decisions.

Build the Analytics Function

• Own the analytics function for the Cards & Wallets direction.
• Prioritize analytical requests from different business teams.
• Help define the future BI architecture and analytics processes.
• As the function grows, participate in building and mentoring the analytics team.

Requirements

• 5+ years of experience in Data Analytics, BI, Product Analytics, or Commercial Analytics.
• Strong SQL skills, including: Window Functions, CTEs, Query optimization, Large transactional datasets.
• Experience building analytical data models and data marts from scratch.
• Experience working with Data Warehouses and/or Data Lakes.
• Hands-on experience with Tableau, Power BI, Metabase, or similar BI platforms.
• Experience designing dashboards that are actively used by business teams.
• Strong analytical thinking with the ability to identify patterns, trends, and business opportunities in large datasets.
• Experience automating reporting and improving analytical processes.
• Ability to communicate analytical findings clearly to both technical and non-technical stakeholders.
• B2+ (C1 preferred).

Nice to Have

• Experience in FinTech, Payments, Banking, Card Issuing, Acquiring, PSP, Digital Wallets, or Neobanking.
• Experience working with transaction-level data.
• Understanding of payment flows and transaction lifecycle.
• Experience with pricing analytics, unit economics, or profitability analysis.
• Experience building alerting systems and automated business monitoring.
• Previous leadership or mentoring experience.

Why Join Us?

• Build the analytics function from the ground up.
• Work directly with Commercial, Finance, Product, and executive leadership.
• Own the analytics architecture and influence business decisions.
• Solve complex analytical challenges using real transaction data.
• Grow into the Head of Analytics for the Cards & Wallets business.

Our customer is a global, full-service e-commerce and subscription billing platform that helps SaaS, digital goods, and subscription-based businesses sell worldwide. For nearly two decades, the company has supported business growth by managing payments, global tax compliance, fraud prevention, and recurring revenue at scale. Data plays a central role in the company’s decisions and operations. As the customer builds its next-generation data platform, you will help maintain and improve reporting solutions that business teams rely on every day.

You will maintain, troubleshoot, and develop Power BI reports and semantic models, working with DAX calculations and data available through Snowflake. Finance will be your primary business domain, including reporting that supports month-end closing and other financial processes.

The role combines hands-on development, data investigation, and collaboration with business stakeholders. You will receive technical and domain support during onboarding and gradually take ownership of reporting requests and day-to-day Power BI tasks.

Responsibilities:

• Maintain, troubleshoot, and develop Power BI dashboards, reports, semantic models, DAX measures, and calculated columns.
• Investigate data discrepancies, refresh behaviour, and reporting inconsistencies using SQL and Snowflake.
• Help Finance stakeholders understand report calculations, transformations, and the sources of reported values.
• Support reporting for month-end closing and other Finance processes, while contributing to other business reporting needs as priorities evolve.
• Clarify requirements, expected outcomes, and acceptance criteria with business stakeholders before implementation.
• Test and validate reports together with Finance stakeholders and the Data Quality Engineer.
• Document reporting logic, changes, and relevant data dependencies.
• Collaborate with Data Engineering and platform owners to resolve issues originating outside Power BI.
• Participate in the team’s Jira-based Scrum delivery process.

Requirements:

• 1+ year of practical Power BI experience, including report development, visualisations, filters, relationships, and semantic models.
• Good knowledge of DAX, including measures and calculated columns.
• Good knowledge of SQL, including joins, aggregations, and CTEs, with the ability to investigate underlying data independently.
• Understanding of relational and dimensional data concepts, including tables, keys, relationships, data types, and basic star-schema modelling.
• Understanding of Power BI connectivity modes—Import, DirectQuery, Live Connection, and Composite models—including their trade-offs and the specifics and limitations of Live Connection.
• Ability to investigate reporting discrepancies, refresh behaviour, and data dependencies.
• Strong attention to detail and a habit of validating results before sharing them with business users.
• Ability to communicate with business stakeholders, ask clarifying questions, and translate requirements into reporting changes.
• Willingness to learn Finance metrics, reporting needs, and business processes.
• Upper-Intermediate English or higher for collaboration with English-speaking stakeholders.

Nice to have:

• Experience with Snowflake.
• Exposure to financial reporting or analytics.
• Familiarity with Jira, Agile, or Scrum.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Join a Company That Invests in You

Seeking Alpha is the world's leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

What We're Looking For

Do you look at websites and think about how they might be personalized? Do you use websites and apps and think about how their features have been designed to be best for a lot of different users? Do you read articles with statistics and think about how they may be misinterpreting the data to get their results? If these things describe you, and if you’re great at SQL and have experience analyzing website data, you’re someone we want to talk to.

We’re looking for a Senior Data Analyst with experience analyzing website data. Our data analyst team analyzes everything on our website, not only for their immediate use but also for how they connect to high-level company KPIs. Our Analysts analyze raw data, not only pre-aggregated data, to extract just the right information and diagnose what is happening on our site.

The role requires understanding web development and how data is gathered, analysis of site usage and a/b tests, data visualization, and how different kinds of data can be presented most clearly, and business KPIs and how they are measured.

But more than that, we’re looking for experienced analysts who can bring us new ideas about how to analyze and extract insights from website data. Our ideal candidates have measured KPIs that we haven’t measured or used new ways to explain user retention, or analyzed features of users' data that we haven’t analyzed.

The best thing about our work is that we’re part of an incredibly data-driven company. Everyone from the CEO down uses data every day. The data teams are involved in every single thing the company does.

What You'll Do

• Analyzing the behavior of users on our site and apps:

-Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.

-Answer questions about site usage or user behavior based on deeper analyses.

• Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
• Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
• Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
• Split tests of product features:

-Design a test with clear success criteria

-Monitor test integrity

-Analyze results and give recommendations

-Use segmentation and clear cohort analysis to validate significant conclusions

-Conduct exploratory analysis to identify trends and opportunities

Requirements

• A minimum of 5 years in a B2C website-related Data Analyst position
• Strong SQL skills with experience writing complex and efficient analytical queries
• Demonstrated experience with working in English directly with business stakeholders, understanding their needs, and explaining results
• Understanding of website development and operations and how they connect to data gathered.
• Experience with data visualization tools (Looker/Tableau/PowerBI, etc.)
• Experience with report writing and technical requirements analysis, business process modeling/mapping, methodology development, and data modeling

Readdle is a pioneering force in the personal productivity space on Apple devices, having shaped the landscape since 2007. Our mission is to empower individuals and teams with innovative technology, enhancing their efficiency and creativity. We are dedicated to crafting exceptional mobile and desktop experiences for those who aspire to achieve more.
 

As a Senior Growth Analyst at Readdle, you’ll own the numbers behind how Spark grows. From the first ad impression to long-term renewals, you’ll make sense of the data, design event structures, and ensure everything is measurable. You’ll dig into funnels, uncover insights, and build dashboards that make growth performance crystal clear for product and marketing teams.

What will you do:

• Transform and analyze large datasets in BigQuery and Amplitude to uncover trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve dashboards in Tableau and Google Sheets that reduce ad-hoc reporting requests and establish a clear source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design and monitor A/B experiments and feature launches; validate results and ensure long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with Appsflyer to track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience supporting pricing, monetization, or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau and/or Amplitude for dashboards and complex data visualization.
• Experience with Appsflyer or other attribution platforms; familiarity with Python for data analysis and automation is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), statistics, A/B testing, and concepts like segmentation, churn, or LTV modeling.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Comfortable working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.

We’re looking for an experienced BI Analyst who knows how to turn data into valuable business insights for fast-growing DTC brands. You’ll focus on building high-impact dashboards and reports that help stakeholders understand business performance and make better decisions. You know how to blend technical expertise with commercial understanding, and you’re always looking for ways to improve reporting and uncover new opportunities.

You’ll work closely with stakeholders, analyse business performance, and ensure data delivers clear insights into retention, profitability, and forecasting.

What you'll do

• Build, maintain, and optimise dashboards and reports in Tableau to provide clear insights into business performance
• Use SQL to extract, analyse, and transform data into meaningful and actionable insights
• Work with APIs and different data sources to support accurate and reliable reporting
• Develop reporting around key business metrics, including customer retention, subscription performance, profitability, and forecasting
• Translate complex data into clear visualisations and insights that stakeholders can understand and act on
• Identify trends, patterns, and opportunities to improve business performance
• Apply best practices in data visualisation and continuously improve reporting based on business needs

About you

• Several years of experience as a BI Analyst, Business Intelligence Analyst, or in a related role
• Previous experience working with DTC brands, ideally within a subscription-based business model
• Strong SQL skills and experience working with APIs
• Must have previous experience with Tableau
• Experienced in building dashboards and reports that support business decision-making
• Able to interpret data, identify trends, and turn insights into action
• Strong understanding of subscription metrics, particularly retention, profitability, and forecasting
• Exceptionally organised, able to work independently and manage priorities effectively
• Data-driven, curious, and always looking to uncover insights and improve performance
• Conversational in English

Bonus points if…

• You have experience working with subscription-based DTC brands and understand their key business metrics
• You have experience with customer retention, churn analysis, cohort analysis, or customer lifetime value (LTV)
• You enjoy translating complex data into clear, actionable insights for non-technical stakeholders
• You have experience supporting financial or commercial forecasting
• You’re proactive in identifying opportunities to improve reporting, processes, and data quality

About the Company

We are a European IT company with 200+ specialists delivering SaaS platforms, enterprise solutions, and cloud-native products for clients worldwide. We focus on building strong, long-term teams and supporting continuous professional growth.

About the Project

The project is a rapidly growing international FinTech platform transforming the restaurant payment experience through QR-code payments, bill splitting, digital menus, mobile ordering, and payment solutions.

The product is already live and backed by $72M in funding. With established BI and Data Engineering teams, the next step is to scale A/B testing across Product, Sales, and Operations.

You'll play a key role in building a scalable experimentation framework, improving data-driven decision-making, and helping teams turn hypotheses into measurable business outcomes.

Responsibilities

• Own and scale A/B testing and experimentation processes across multiple business functions.
• Configure and optimize GrowthBook and expand experimentation capabilities to mobile applications.
• Establish statistical testing standards, including power analysis, variance reduction, and sequential testing.
• Define experiment success metrics, guardrails, and evaluation methodologies.
• Develop experimentation playbooks and train Product, Sales, and Operations teams.
• Analyze experiment results and provide actionable recommendations to stakeholders.

Requirements

• 5+ years of professional experience in Product Analytics.
• 2+ years of hands-on experience with A/B testing and experimentation.
• 1+ year of experience with GrowthBook, Statsig, Optimizely, or similar experimentation platforms.
• 1+ year of hands-on experience with SQL.

Why Join This Project?

• High Impact: Shape the experimentation strategy of a rapidly scaling international FinTech product.
• Ownership: Build and improve experimentation processes rather than simply execute existing tests.
• Cross-functional Collaboration: Work closely with established BI and Data Engineering teams, as well as Product, Sales, and Operations.
• Modern Tooling: Work with GrowthBook, BigQuery, and AI-powered tools.

We Offer

• 20 paid vacation days per year.
• 5 paid sick leave days per year without medical documents.
• Personalized development plan with training compensation.
• English courses compensation.
• Work equipment if needed.
• Flat and transparent internal communication.
• Opportunity to switch between projects and technologies within Digis.
• Full accounting and legal support.
• Free access to corporate psychologist services.

If this opportunity sounds like a good fit, we'd be happy to hear from you. Apply now!

We are seeking a Product Analytics Lead to own and elevate our data-driven decision-making process through behavioral analytics, hypothesis testing, and user insights. In this role, you will build robust analytics frameworks, set the standard for evaluating new feature launches and A/B tests, and work closely with Product Managers, Data Science, and Analytics teams. Beyond technical leadership, you will mentor analysts and foster a strong data-driven culture across the company.

Responsibilities

• Lead the product analytics function and drive data-informed product decision-making across the organization.
• Build and continuously improve the product analytics framework, including methodologies, standards, and best practices.
• Partner closely with Product Managers, Data Science, and Analytics teams to identify opportunities, validate hypotheses, and support product strategy.
• Design, evaluate, and interpret A/B tests, experiments, and product releases, ensuring statistically sound conclusions and actionable recommendations.
• Define and monitor key product metrics, including funnels, retention, cohorts, LTV, conversion, and user behavior metrics.
• Translate complex datasets and analytical findings into clear business insights and product recommendations.
• Proactively identify trends, root causes, growth opportunities, and potential product risks.
• Challenge assumptions and help teams make better decisions through structured analytical thinking.
• Mentor and develop Product Analysts, strengthening analytical expertise and raising the overall quality of analytics within the team.

• Promote a strong data-driven culture and ensure analytics is embedded into the product development lifecycle.

   

Requirements

• 2+ years of experience in a Product Analytics Lead, Lead Product Analyst, or similar leadership role.
• Strong / Advanced SQL skills, including complex queries, query optimization, and data modelling.
• Strong knowledge of mathematical statistics, including hypothesis testing, confidence intervals, sample-size calculation, and statistical significance.
• Hands-on experience designing, running, and evaluating A/B tests and product experiments.
• Strong experience evaluating product launches and incremental releases.
• Deep understanding of product analytics and key metrics, including funnels, retention, cohort analysis, LTV, conversion, and behavioral metrics.
• Hands-on experience with BI and visualization tools such as Tableau, Looker, or similar platforms.
• Experience using Python for data analysis.
• Strong product mindset with the ability to connect analytical findings to business objectives and product strategy.
• Strong stakeholder-management and communication skills, including the ability to explain complex analytical and statistical concepts to non-technical audiences.
• Strong critical thinking and a proactive approach to hypothesis validation, root-cause analysis, and challenging assumptions.

• Proven mentoring or leadership experience with junior and mid-level analysts.

   

Nice to Have

• Experience within iGaming / Gambling.
• Experience in a product-driven technology company developing its own digital product.
• Experience working with large-scale user and behavioral datasets.
   

Our Benefit Cafeteria is Packed with Goodies:

• Children Allowance
• Mental Health Support
• Sport Activities
• Language Courses
• Automotive Services
• Veterinary Services
• Home Office Setup Assistance
• Dental Services
• Books and Stationery
• Training Compensation
• And yes, even Massage!

Ready to Take the Leap?

Join a team where every day is an opportunity to take a RISK and come out on top. Follow us on LinkedIn and Instagram, and let us be your hub for turning ambitious ideas and extraordinary solutions into reality.

At RISK, we believe that our people are the driving force behind our success. Together, we can achieve great things and push the boundaries of what's possible in the iGaming industry.

About the Project

We are looking for a Data Analyst to join an international project focused on large-scale data aggregation and operational support. This role combines data analysis with operational responsibilities, offering an opportunity to work closely with both internal teams and the client.

Responsibilities

• Analyze large datasets and provide actionable insights.
• Validate business hypotheses and support data-driven decision-making.
• Write, optimize, and maintain SQL queries.
• Investigate client-reported issues and perform data validation.
• Conduct root cause analysis and assist in resolving operational incidents.
• Support day-to-day operational processes and client requests.
• Collaborate with cross-functional teams and stakeholders.

Requirements

• Solid knowledge of SQL, Python, and Excel.
• Strong self-management and ability to work autonomously.
• Experience working in distributed or remote teams.
• Ability to operate effectively in a dynamic, operational environment.

• Flexibility to occasionally support business needs outside standard working hours.

   

Working Conditions

• Working schedule: Sunday–Thursday (Ukraine time zone).
• Strong focus on information security and data confidentiality.

Hiring process

1. HR interview
2. Logic assessment
3. Python assessment 
4. Technical interview
5. Client interview

RISK inc: An International iGaming Company Pushing the Boundaries of Entertainment
 

Who We Are: An international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 1000+ professionals in 20+ locations, we operate in 10 countries, serving over 300,000 customers.

Always Pushing the Boundaries? You Already Belong at RISK!
 

Our global-scale operations are based on strong internal expertise, analytics, and data research. We have expertise in iGaming operations (sports betting, online casino), digital and affiliate marketing, tech solutions, and data analytics.
 

We are looking for a Senior BI Analyst to join our team.
 

Responsibilities:

• Develop and maintain reports and dashboards in Power BI;
• Review existing reporting solutions, identify limitations, and propose improvements;
• Build and automate reporting for business planning, budgeting, and P&L together with Finance and business stakeholders;
• Gather and clarify business requirements and translate them into reporting solutions;
• Create dashboards and reports for tracking key business and product metrics;
• Automate recurring reporting and reduce manual work;
• Ensure data accuracy, consistency, and reliability across reports and dashboards;
• Investigate reporting issues and discrepancies and help identify solutions;
• Own tasks end to end: from understanding the business request to delivering the final result.
   

Requirements:

• Strong hands-on experience with Power BI;
• Advanced SQL skills and experience with complex analytical queries;
• Ability to translate business needs into analytical and reporting solutions;
• Experience working with internal stakeholders: requirements gathering, finding solutions, and presenting results;
• Strong analytical and system thinking;
• Proactivity, ownership, and attention to detail;
• Ability to work independently with tasks where there is no ready-made solution or detailed instruction;
• Advanced Excel / Google Sheets skills;
• English level: Pre-Intermediate or higher.
   

Nice to Have:

• Experience with business planning, budgeting, P&L, or financial models;
• Experience working closely with Finance teams.

Our Benefit Cafeteria is Packed with Goodies:

• Children Allowance
• Mental Health Support
• Sport Activities
• Language Courses
• Automotive Services
• Veterinary Services
• Home Office Setup Assistance
• Dental Services
• Books and Stationery
• Training Compensation
• And yes, even Massage!
   

We are a fast-growing, ambitious iGaming startup operating in Tier-1 markets. We are launching a new product and looking for a strong Lead Data Analyst  who will design and build our data infrastructure from scratch, set up end-to-end reporting, and drive product growth through actionable insights.

If you know how to architect a modern data stack for a new product, build intuitive BI dashboards, and turn raw data into strategic business decisions - this role is for you.

🔹 Key Responsibilities:

• Architect and design the data pipeline model, data warehouse structure, and tracking framework for our new product in close collaboration with the Data Engineer.
• Create actionable, clear BI dashboards (reporting, cohort analysis, funnel visualization, LTV/CAC modeling) for key stakeholders.
• Define, track, and analyze core iGaming metrics (retention, monetization, user journeys) to uncover growth opportunities.
• Establish single-source-of-truth standards, ensuring data accuracy, consistency, and accessibility across the company.

• Work closely with C-level leadership to translate analytical findings into clear business strategies and product improvements.

   

🔹 Requirements:

• Hands-on experience designing and setting up data architecture/infrastructure from scratch for a new product or platform.
• Strong experience building scalable BI dashboards and reports that non-technical teams can easily use.
• Deep understanding of product and business metrics in iGaming/Gaming (LTV, CAC, Churn, Retention, Player Value, NGR/GGR).
• Advanced SQL, conceptual understanding of DWH, ETL/ELT workflows, and modern BI tools (Looker, Tableau, Power BI, etc.).
• 4+ years in Data/Product Analytics with experience or readiness to lead the analytics function.

• English - B1 or higher. Proficiency in Ukrainian is a strong asset.

   

🔹 What We Offer:

• Complete freedom to build the entire analytics function and data stack from scratch for a high-potential product.
• 100% remote work with a flexible schedule.
• A high-performance, results-oriented culture with direct access to founders and zero bureaucracy.