Jobs Data Analyst

We are looking for an experienced BI Analyst who will take ownership of building, maintaining, and optimizing our business intelligence infrastructure. The ideal candidate is passionate about data, analytics, and modern BI tools, and can translate complex data into actionable insights that drive business decisions.

HOW YOU WILL MAKE AN IMPACT

• Develop and maintain semantic data models in Power BI (Pro license or higher).
• Design and build reports and dashboards based on business requirements.
• Write complex DAX measures and calculations.
• Work with multiple data sources (databases, Google Sheets, etc.) and manage data connectivity (gateways).
• Administer Power BI, including managing permissions and RLS (Row-Level Security).
• Monitor BI trends and implement new Power BI features and AI capabilities into existing and new reports.
• Optimize performance and loading speed of reports and data models.
• Write and optimize SQL queries in BigQuery and MySQL (experience with ClickHouse is a plus).
• Use CTEs and window functions in query development.
• Collaborate with developers to define and document technical requirements for new data sources.
• Experience with Google Cloud Functions and Airflow is a strong advantage.

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• 2+ years of professional experience working with Power BI (not freelance projects).
• Hands-on experience with BigQuery and MySQL (ClickHouse is a plus).
• Strong proficiency in SQL (CTE, window functions).
• Practical experience in data modeling and report optimization.
• Understanding of data governance, access management, and RLS principles.
• Analytical mindset and attention to detail.
• Intermediate or higher level of English (for documentation and communication).

Nice to Have

• Experience with Tableau or Looker Studio.
• Background in Google Cloud Platform or other cloud ecosystems.
• Interest in implementing AI tools within BI systems.

WHY YOU’LL LOVE IT HERE:

• Flexible working hours and a remote work setup, so you can plan work around your life and not your life around work!
• Unlimited vacation days and paid sick leave—because your rest matters.
• A competitive compensation that truly reflects your skills and expertise.
• Employee referral bonus and gifts to celebrate your special occasions.
• 50% financial support for learning expenses to supercharge your professional growth!
• A positive atmosphere where you always feel respected and truly belong.
• Inspirational team-building activities that turn colleagues into best friends.
• Wellness benefits: We’ll support your sports passions, from yoga classes to gym memberships.
• Co-working space reimbursement to save your nerves from always working from home :)

Наш клієнт, Growe, провідна консалтингова компанія та група сервісів у сфері iGaming і розваг. Вони створюють стратегії, що працюють, та рішення, які масштабуються. 

Ідеально для тих, хто прагне:

• Аналізувати поведінку гравців протягом усієї воронки продажів: реєстрація, перший депозит, утримання, повторна активація, відтік – та перетворювати результати на практичні рекомендації щодо продуктів;
• Проектувати, проводити та інтерпретувати A/B-тести та квазіексперименти, керувати методологією вимірювання впливу функцій;
• Створювати та підтримувати когортні аналізи (LTV, криві утримання, окупність) для підтримки рішень щодо продуктів та інвестицій;
• Визначати, контролювати KPI та дерева метрик продукту, перевіряти метрики, які не відображають реальної бізнес-цінності;
• Співпрацювати з менеджерами продуктів, щоб визначити пріоритети дорожньої карти на основі очікуваного впливу, а не інтуїції;
• Розробляти самообслуговувані інформаційні панелі (Tableau) та джерела даних, щоб допомогти зацікавленим сторонам відповідати на рутинні запитання без залучення аналітиків;
• Досліджувати аномалії в ключових метриках та чітко повідомляти першопричини нетехнічній аудиторії;
• Підтримувати культуру ретельної, чесної аналітики: документувати припущення, кількісно визначати невизначеність та відмічати, коли дані не можуть відповісти на запитання;
• Розвивати впровадження веб-аналітики та якості даних: плани відстеження, таксономія подій, управління тегами (GTM) та перевірка нових релізів відстеження.

Досвід, який стане твоєю перевагою:

• 2+ роки в продуктовій/веб або Data-аналітиці;
• Практичний досвід роботи з платформами веб-аналітики (GA4, Amplitude, Mixpanel або подібними), включаючи розробку та впровадження відстеження подій, а не лише використання звітів;
• Досвід роботи з iGaming або іншою високочастотною B2C-сферою (фінтех, ігри, електронна комерція) буде перевагою;
• Знання Google Tag Manager або порівнянної системи керування тегами та здатність читати специфікації dataLayer та налагоджувати проблеми відстеження;
• Поглиблені знання SQL - віконні функції, CTE, великі набори даних (Athena або подібна є перевагою);
• Знання статистики: перевірка гіпотез, довірчі інтервали, статистична потужність, поширені помилки експериментів (передній перегляд, упередженість вибору, упередженість когортної зрілості);
• Досвід роботи з аналізом воронки продажів, когортним аналізом, LTV та моделюванням утримання;
• Вміння працювати з інструментом бізнес-аналітики (бажано Tableau), включаючи розробку джерел даних;
• Розуміння моделей атрибуції та їх обмежень;
• Python або R для ad-hoc аналізу буде перевагою (pandas, підгонка кривої, аналіз виживання);
• Англійська мова на рівні Intermediate та вище.

Ми цінуємо:

• Бізнес-мислення: ви починаєте з рішення, яке потрібно прийняти, а не з даних, які випадково доступні;
• End-to-end мислення: ви природно пов'язуєте налаштування цільової сторінки з її впливом на депозити та LTV, а не оптимізуєте кожен етап окремо;
• Інтелектуальна чесність: ви кажете «дані цього не підтверджують», навіть коли аудиторія хоче іншої відповіді, і ви кількісно оцінюєте, наскільки ви насправді впевнені;
• Увага до якості даних: ви ставитеся до несправного відстеження як до інциденту першочергового рівня, оскільки від нього залежить кожен подальший аналіз;
• Відповідальність: ви стежите за питанням від сирої події до бізнес-рішення, не чекаючи ідеально визначеного завдання.

Наші клієнти пропонують конкурентні переваги для підтримки вашого професійного та особистого зростання, зокрема:

• Орієнтація на здоров’я та добробут;
• Глобальне медичне страхування;
• Можливості для зростання;
• Програми бенефітів (компенсація спорту / стоматології / психолога тощо);
• Бонуси за досягнення результатів;
• Динамічне робоче середовище.

English version:

Our client, Growe, is a leading business advisory and services group in iGaming and Entertainment. Сreators of strategies that work and solutions that scale. 

Perfect for those who aim to:

• Analyze player behavior across the full funnel: registration, first deposit, retention, reactivation, churn - and translate findings into actionable product recommendations;
• Design, run, interpret A/B tests and quasi-experiments, handle the methodology for measuring feature impact;
• Build and maintain cohort-based analyses (LTV, retention curves, payback) to support product and investment decisions;
• Define, validate, and monitor product KPIs and metric trees, challenge metrics that don't reflect real business value;
• Partner with product managers to prioritize the roadmap based on expected impact, not intuition;
• Develop self-service dashboards (Tableau) and datasources to help stakeholders answer routine questions without analyst involvement;
• Investigate anomalies in key metrics and communicate root causes clearly to non-technical audiences;
• Maintain culture of rigorous, honest analytics: document assumptions, quantify uncertainty, and flag when data can't answer the question;
• Own web analytics implementation and data quality: tracking plans, event taxonomy, tag management (GTM), and validation of new tracking releases.

Experience you’ll need to bring:

• 2+ years in product or web analytics;
• Hands-on experience with web analytics platforms (GA4, Amplitude, Mixpanel, or similar), including event design and tracking implementation, not just report consumption;
• Experience with iGaming, or another high-frequency B2C domain (fintech, gaming, e-commerce) will be a plus;
• Working knowledge of Google Tag Manager or a comparable tag management system and ability to read dataLayer specs and debug tracking issues;
• Strong SQL - window functions, CTEs, large datasets (Athena or similar is a plus);
• Solid grounding in statistics: hypothesis testing, confidence intervals, statistical power, common experiment pitfalls (peeking, selection bias, cohort-maturity bias);
• Experience with funnel analysis, cohort analysis, LTV and retention modeling;
• Proficiency with a BI tool (Tableau preferred), including data source design;
• Understanding of attribution models and their limitations;
• Python or R for ad-hoc analysis is a plus (pandas, curve fitting, survival analysis);
• English at Intermediate level and higher.

It's a perfect match if you have those personal features:

• Business first mindset: you start from the decision that needs to be made, not from the data that happens to be available;
• End-to-end thinking: you naturally connect a landing page tweak to its downstream effect on deposits and LTV, rather than optimizing each stage in isolation;
• Intellectual honesty: you say "the data doesn't support this" even when the room wants a different answer, and you quantify how confident you actually are;
• Attention to data quality: you treat broken tracking as a first-priority incident, because every analysis downstream depends on it;
• Ownership: you follow a question from raw event to business decision without waiting for a perfectly specified task.

Our clients offer competitive benefits to support your professional and personal growth, including: 

• Health & Wellness Focus;
• Global Medical Coverage;
• Growth Opportunities;
• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
• Performance-Driven Rewards;
• Dynamic Work Environment.

ABOUT THE COMPANY

We are an iGaming company with 3+ years of experience, 1,500+ team members, and a portfolio of 11+ successful products in Tier 1–3 markets. We are actively scaling new products and markets, building strong affiliate ecosystems, and strengthening our position within the industry.

ABOUT THE ROLE

We are launching a new Tier-1 project and need someone to build the analytics and fraud control system from scratch — from reporting setup to identifying revenue leak points and suspicious activity across the product.
 

WHAT YOU WILL DO

• Build the reporting system in Microsoft Power BI
• Set up key dashboards for Product, Marketing, Affiliate, and Payments teams
• Ensure data accuracy and completeness
• Analyze key metrics: FTD, conversion, ARPU, GGR, NGR, retention
• Analyze affiliate traffic quality and source performance
• Monitor the full funnel: visit → registration → deposit → gameplay → withdrawal
• Identify suspicious user behavior patterns
• Analyze multi-accounting, anomalies, and low-quality traffic
• Participate in building fraud prevention and anti-fraud logic
• Highlight problem areas and growth opportunities
• Provide recommendations to Product, CRM, Marketing, and Affiliate teams
• Analyze traffic and metric drops, anomalies, and inconsistencies
• Collaborate with Product, CRM, Payments, Marketing, and Affiliate teams
• Help teams make data-driven decisions
• Ensure transparency and consistency of metrics
• Verify correct tracking setup and event collection
• Work with data discrepancies and inconsistencies
• Conduct reconciliations for affiliate traffic and partner payouts
• Ensure unified understanding of metrics and traffic quality across teams
   

FIRST 30–60 DAYS

• Set up core dashboards in Microsoft Power BI
• Verify the accuracy of all key data and metrics
• Build reporting systems for Product, Marketing, Retention, and Affiliate teams
• Set up the main product funnel and key KPIs
• Conduct the initial product analysis and identify problem areas
• Highlight the first revenue leak points and growth opportunities
   

WHAT WE EXPECT AS OUTCOMES

• Fully operational analytics and reporting system
• Transparent and aligned metrics across teams
• Regular analytical insights and actionable recommendations
• Identified and partially resolved revenue leak points
• Established core fraud prevention and control processes
   

WHAT WE ARE LOOKING FOR

• 3+ years of experience as an analyst in iGaming / online casino — required
• Experience with product analytics and key business metrics
• Experience with fraud / risk analysis is a strong advantage
• Experience analyzing traffic and evaluating source quality
• Experience working with traffic acquisition data will be a plus
• Formal education is not critical — hands-on experience and practical skills matter most
   

Technical skills:

• Strong proficiency in Microsoft Power BI — required
• Experience working with data and building dashboards
• Understanding of key metrics: FTD, GGR, NGR, LTV, etc.
• Experience analyzing funnels and user behavior
• Basic SQL knowledge is preferred
• Tools: Microsoft Power BI, analytics systems / databases, tracking and event analytics tools
   

WHY JOIN US

• Fully remote work
• Competitive salary aligned with your expertise and contribution
• Paid vacation, sick leave, and an additional birthday day off
• Professional growth and continuous development opportunities
• Internal knowledge-sharing sessions and company events
• Fast decision-making without excessive bureaucracy
• Freedom from micromanagement and rigid hierarchies
• Dynamic environment with ambitious goals and expansion plans

We are looking for a Customer Experience Analyst to join our client — a globally recognized leader in the luxury hospitality sector. This is an enterprise-level project involving high-traffic web solutions and complex integrations. You will work in a dynamic environment, managing both large-scale initiatives and multiple concurrent small-scale projects to ensure a seamless digital experience for users worldwide.

In this role, you will lead the strategic design, implementation, optimization, and expansion of enterprise-scale digital CX capabilities within Qualtrics and complementary analytics platforms — bridging technical excellence with platform strategy.

JOB REQUIREMENTS

Must have:

• 3+ years of experience combining business and technology (CX, analytics, or platform roles)
• Minimum 2 years deploying Qualtrics for enterprise clients
• XM Discover expertise: building and maintaining categorization, sentiment, and journey models
• XM metrics mastery: NPS, CSAT, CES, Sentiment enrichment, Effort scoring, and designing frameworks around them
• Experience with dashboards, ticketing, and categorization models
• 3+ years architecting enterprise digital CX solutions
• HTML/CSS and web architecture foundations
• Foundational knowledge of AI technologies: machine learning, LLMs, RAG architectures, and agentic AI systems
• Hands-on CX AI experience: evaluating, testing, or building AI/RAG/agentic capabilities (intelligent routing, automated responses, multi-step workflow automation, AI-powered analytics)
• Qualtrics Certification (CXO or Designer/Architect equivalent)
• Upper-Intermediate or Advanced English (B2+)

Nice to have:

• Previous experience in luxury hospitality or premium retail sector
• Salesforce experience
• Databricks experience
• Background in Marketing Technology (MarTech) or Digital Analytics

KEY RESPONSIBILITIES

Platform Architecture & Enterprise Deployment

• QA troubleshooting of complex implementations and playbook establishment
• Ensure data governance and taxonomy consistency across the enterprise
• Own data pipelines and make integrity decisions

Platform Innovation Pipeline & Global Rollout

• Own the innovation pipeline with co-innovation and PoC management
• Build and maintain a testing and validation platform for new features
• Orchestrate global rollout strategies with change management and adoption metrics
• Own the roadmap for new technologies and capabilities — evaluate, recommend timing, and sequence adoption
• Manage vendor partnerships aligned with the product roadmap

PROJECT

Customer: A globally recognized leader in the luxury hospitality sector — well-known brand, large-scale user base, and a great client relationship.

Type: Enterprise Hospitality / Digital CX Platform.

Product: Enterprise-scale digital CX capabilities built on Qualtrics and complementary analytics platforms, supporting high-traffic web solutions and complex integrations across global properties.

Stage: Active development with ongoing global rollout.

Work schedule: Full-time, fully remote.

INTERVIEW STAGES

1. Call with recruiter
2. Technical interview
3. Client technical interview

We are looking for an experienced Product Analyst with real product analytics experience (Amplitude, A/B testing, BI tools, SQL) and strong communication skills. This role is focused specifically on product analytics, so we are seeking candidates with a product background rather than marketing, finance, or pure engineering analytics. Experience working in a product company is preferred, and gamedev experience will be a plus.

📍 What to Do

• Work across multiple product teams (VIP, CRM, antifraud, finance and others), not tied to a single team
• Build dashboards, calculate experiment results, write feature research, manage event tracking, and handle ad hoc requests
• This role does not involve marketing analytics or data engineering tasks
• Maintain a strong product mindset: not just analyzing numbers but proposing hypotheses and improving the product
• Create insightful reports, dashboards, and automated solutions
• Support the product team with data-driven insights
• Design, run, and interpret A/B tests
• Solve data-related issues using strong problem-solving skills
• Collaborate with teams to shape the product vision through data insights

🦸 Your Superpowers

• 3+ years of relevant experience as a Product Analyst (Middle+ level, ideally closer to Senior)
• Experience with product analytics, improving conversion and retention, A/B testing, and product experiments
• Strong analytical and problem-solving skills
• Hands-on experience using Amplitude (in some cases Mixpanel) as a primary analytics tool
• Advanced SQL skills and experience working with DWH systems (Redshift, BigQuery, ClickHouse, Snowflake or similar), including CTEs, window functions, and query optimization
• Experience with BI platforms such as Tableau, Looker, Power BI, Apache Superset or similar
• Willingness to work with AI tools such as Claude or ChatGPT and integrate AI into analytics workflows
   

🤘 Bonus Points

• Experience with dbt (optional, can be learned)
• Experience with modern data stack and infrastructure as code
• Experience with BI tools such as Looker or Lightdash
• Python skills for data manipulation and analysis
• Experience with Airflow DAGs
• Understanding of dbt and data modeling concepts

🍪 Team Perks 

• PRO&BRO team you’ll love creating new gaming universes with 
• Totally remote work from wherever you grind
• An equipment budget to upgrade your home office
• Flexible schedule with no time trackers since we just focus on results
• A performance-based bonus twice a year for every mojamer as a nod to our shared achievements 
• Wellness Bonus for the gym, yoga, dance, massage, therapy, or anything that keeps your energy up
• Level up your skills with our internal knowledge-sharing project Yoda. We also cover training, certifications, English & Ukrainian classes
• Days off and gifts for milestones of your choice (birthday, anniversary, baby arrival, or wedding) 
• JAM Activities: workations twice a year in different corners of the world, epic offline teambuilding events, CS2 and Dota tournaments, quizzes, lectures, and plenty of other hangouts for the team
• Plus relocation support, a Maternity/Paternity Leave Policy, a referral bonus, and a whole bunch of other cool perks you can check out on our website

Join us if this is all about you. We are waiting for your application!

Let’s Add More Jam Together 🚀

About us:
Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team comprises over 350 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team.

Our mission:
Become a stepping stone on our customers’ journeys of self-improvement.

Our values:

• Deliver what matters
• Respect and support others
• Initiate and own
• Voiceopenly
• Execute with quality

If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com.

We’re looking for a User Acquisition Manager to join a new R&D direction focused on subscription-based mobile products. The role centers around building strong web and mobile user experiences that improve activation, retention, and monetization. You’ll work on launching and scaling a product from MVP to growth stage, driving product decisions through analytics, experimentation, and direct impact on core business metrics like LTV and retention.

Requirements:

• 1.5+ years as a Product Analyst
• Strong SQL: cohort analysis, retention, revenue aggregations. 
• Hands-on LTV/pLTV experience: understands the methods (cohort extrapolation, survival, ML regression), their limitations with small data, and how to validate predictions. 
• Amplitude: dashboard building, event taxonomy. 
• Understanding of mobile/web subscription-product metrics and UA logic (CPI, ROAS, ARPU, payback). 
• A/B testing methodology.
• Hands-on experience with BI tools such as Tableau or Power BI.
• Effective communication and presentation skills to convey analysis results clearly and compellingly.

Would be a plus:

• Python skills (pandas, data visualization, statistics) for data manipulation and analysis.
• Experience with MMP data (AppsFlyer/Adjust).
• Hands-on experience with subscription products.
• Data engineering.
• Direct experience working with a UA team.

Responsibilities:

• Engage with key stakeholders (product managers, marketers) to identify needs and shape the analytics strategy.
• Translate stakeholders’ business questions into concrete metrics and analytical tasks; deliver decisions, not raw numbers.
• Build and maintain dashboards, reports, and key metrics to support data-driven decision-making.
• Build and validate LTV predictions for the web funnel, including early/predicted LTV on short cohort history. 
• Design event taxonomy and Amplitude dashboards for specific PMM, PM, and UAM requests. 
• Analyze the web funnel: diagnose drop-offs between steps, assess the impact of changes on conversion and monetization. 
• Compute product unit economics: ARPU, retention, payback, and ROAS tied to UA data.

Employee Benefits:

• Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs
• Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy and autonomous hub) and 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace
• Free Office Lunches:We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday
• Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year
• 100% Sick Leave Compensation
• Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs
• Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools
• Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses
• Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart
• Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.

Uvik Software

Опис

🚀Join a team where data drives impact

At Uvik Software, we build world-class dedicated development teams and deliver high-quality software solutions to clients worldwide.

We’re passionate about clean code, strong collaboration, and modern technologies. Now, we’re looking for a Data Analyst who thrives on transforming data into strategic insights and has a solid background with Snowflake.


🎯About the Role

As a Data Analyst, you will play a key role in unlocking the value of data for our clients. You’ll work with modern cloud data infrastructures, focusing on Snowflake, to support high-impact analytics projects.


🔑Responsibilities

Analyze large-scale datasets using SQL, delivering clear, actionable insights
Perform advanced querying, profiling, and data transformation directly in Snowflake
Design and maintain ETL pipelines for efficient data preparation
Build interactive dashboards and reports using Power BI or Tableau
Access and manage cloud data via AWS services (e.g., S3, Glue, Redshift)
🧩Requirements

5+ years of experience as a Data Analyst working with large datasets
2+ years of hands-on experience with Snowflake (querying, modeling, optimization)
Strong SQL skills for complex querying and transformations
Proficiency with data visualization tools: Power BI and/or Tableau
Solid understanding of ETL processes, data modeling, and data warehousing
Experience with AWS data tools (S3, Glue, Redshift)
Strong English communication skills (verbal and written)

🌍 What We Offer:

We provide an environment where each specialist can grow professionally and work on exciting, high-impact projects.

1) Paid vacation and sick leave 
2)We provide the equipment you need to work comfortably (if required) 
3)We cover 50% of courses if you want to grow professionally 4)Regular salary reviews based on your performance 
5) Competitive salary, depending on your experience 
6) Always on-time payments — no delays 
7)A normal, supportive team without unnecessary bureaucracy

🚀 Apply now and be part of a tech-driven, globally distributed team!

We are looking for a skilled FP&A Analyst to join our customers' team.

Key responsibilities

• Ensure data accuracy through validation processes and financial controls
• Manage and analyze usage-based and revenue-sharing (revshare) models
• Review and approve commercial agreements from a financial perspective
• Perform financial forecasting, budgeting, and variance analysis
• Deliver ad hoc analysis to support key business decisions

• Partner with cross-functional stakeholders to align financial insights with company strategy

   

Requirements

• 5+ years of FP&A experience, preferably in a global SaaS company
• Advanced Excel skills, including Power Query (mandatory)
• Advanced SQL (mandatory)
• Strong analytical mindset with exceptional attention to detail
• Proven ability to communicate insights clearly and partner with stakeholders
• Excellent English (written and verbal)

Job Summary

As a Senior Data Analyst, you will lead analytics that connect player behavior, traffic performance, and product outcomes across the iGaming lifecycle. You will own end-to-end analysis for key domains, build and maintain dashboards and recurring reporting, and deliver insights from funnels, cohorts, retention, and LTV to drive product and business decisions. Partnering with Product, Marketing/Affiliate, Finance, and Engineering, you will evaluate channel and promo effectiveness, support A/B testing, and monitor KPI health to detect anomalies. 
 

Required Qualifications (Must-Have)

• 5+ years of experience in data analytics.
• 3+ years of experience in marketing/product/web analytics in the gambling/casino/betting domain is a strong must.
• Solid knowledge and deep understanding of iGaming products and performance metrics: player behavior and retention metrics, marketing and traffic metrics, operational metrics, and financial metrics.
• Advanced SQL skills (PostgreSQL / BigQuery), ability to perform optimized querying involving multiple tables and subqueries.
• Hands-on experience with BI tools (Looker Studio, Tableau, Power BI, Superset, etc.), data visualization, and the ability to leverage multiple data sources.
• Hands-on experience with Python for analytics, automation, and data processing.
• Proficient in Google Sheets / Excel (pivots, lookups, formulas, data structuring).
• Strong skills in data validation, process automation, and logic structuring for business metrics.
• Excellent communication and presentation skills with the ability to deliver insights effectively across business and product teams.
• Experience working closely with cross-functional teams (engineering, product, marketing, finance, affiliate, brand).
• Experience working with large datasets, recognizing patterns, and building reports from scratch.
• Strong understanding of the player lifecycle and user journey analytics.
• Product mindset and ability to work with business stakeholders.
• Experience with A/B testing and experimentation.
• Strong analytical thinking and attention to detail.
• Fluency in Ukrainian or Russian and proficiency in English for technical collaboration in a remote/global team setting.
• Ability to work within the CET/EET time zone.
   

Your Advantage (Nice-to-Have)

• Experience with machine learning-based analytics (e.g., churn prediction, player segmentation).
• Familiarity with game economy principles - bonus mechanics, RTP, and game-level metrics.
• Understanding of affiliate tracking systems and multi-operator analytics.
• Experience working with APIs, integrations, and automation.
• Advanced knowledge of statistics and predictive analytics.
• Knowledge of ETL/DWH processes (Trino, Airflow, Iceberg, etc.).
• Previous experience working in a start-up environment with rapid iteration cycles.
   

Key Responsibilities

• Own end-to-end analytics for assigned product domains, acting as the primary analytical partner for product and business stakeholders.
• Define, maintain, and evolve the KPI framework across the full player lifecycle and user journey, ensuring metrics are consistent, actionable, and aligned across teams.
• Monitor product, marketing, operational, and financial performance on a daily/weekly/monthly basis; proactively identify anomalies, breaks in funnels, unexpected variances, and risks; investigate root causes; and propose corrective actions.
• Build and maintain dashboards and reporting ecosystems for product, marketing, affiliate, and leadership teams using BI tools.
• Design and maintain the underlying analytical datasets powering dashboards, partnering with Engineering to ensure scalable, well-structured, and well-documented data sources.
• Analyze player behavior and product performance deeply, and lead analytics on traffic quality and acquisition efficiency
• Create end-to-end visibility from traffic to gameplay and payments, connecting acquisition source quality to downstream monetization and operational outcomes.
• Evaluate the effectiveness of bonuses, promotions, and retention campaigns, balancing user impact and unit economics.
• Partner with Product and Engineering on tracking and instrumentation, ensuring the right data is generated and captured.
• Automate recurring reporting and analytical workflows, reducing manual work, improving speed-to-insight, and increasing reliability of business-critical reporting.
• Perform ad-hoc analyses and deep dives to support strategic decisions, product planning, and operational initiatives - translating complex findings into clear options and trade-offs.
• Collaborate cross-functionally with Product, Engineering, Marketing, and Finance teams to prioritize initiatives, unblock decisions, and align analytics deliverables with business goals.
   

Recruitment Process

1. Application Review (1-2 weeks).
   If you have not received a response from the recruiter, your experience is irrelevant to this vacancy.
2. Interview Stages (2-3 weeks).
   1. Prescreen Call with Recruiter - 30 min.
   2. Test Assignment (optional).
   3. Technical Interview with CPO and CTO - 1.5 hr.
3. Job Offer
4. Referrals: Employment and Background Check
    

We Offer

• Competitive compensation package (depends on your experience and skills).
• Fully remote work with flexible hours (within the CET/EET time zone) from any location of your choice.
• 29 business days of vacation and paid sick leave.
• Corporate equipment (laptops, monitors, etc.).
• Professional courses/certifications (200 EUR per year).
• Operating in a start-up environment with cutting-edge technologies and unlimited investments in software upgrades, free from legacy systems or outdated solutions.
• Values-driven culture with a friendly and supportive work environment.
• Matrix organizational structure designed to streamline communication, remove barriers, and promote efficiency.

We’re not looking for someone to just “join the team” - we’re looking for someone ready to shape the product, lead meaningful growth, and make an impact from day one.

If that sounds like you, send over your CV and let’s talk!

Stay Group is an innovative marketing company building and scaling products in the iGaming and entertainment industry.

We are looking for a Product Analyst who will play a key role in driving product and business decisions through data.

This role sits at the intersection of product, marketing, and analytics, helping teams understand performance, identify growth opportunities, and make data-driven decisions.
 

Requirements:

• 3+ years of experience as a Data Analyst, Product Analyst, or Business Analyst.
• Strong ownership mindset with the ability to independently drive analysis from request to business impact.
• Advanced SQL skills (joins, CTEs, window functions, query optimization).
• Experience with BI tools such as Tableau, Power BI, Looker, or similar.
• Proficiency in Python (Pandas, APIs, automation scripts).
• Experience working with Data Warehouses (BigQuery, ClickHouse, Snowflake, or similar).
• Strong understanding of product analytics, including funnels, retention, and cohort analysis.
• Experience working with marketing metrics such as CAC, LTV, ROMI, and attribution.
• Hands-on experience designing and evaluating A/B tests using statistical methods.

Responsibilities:

Data & Analytics

• Extract, validate, and maintain high-quality data from multiple sources.
• Conduct deep-dive analyses to identify trends, patterns, risks, and growth opportunities.
• Build and maintain dashboards and visualizations for product and business teams.

Product & Marketing Analysis

• Analyze product funnels, user behavior, retention, and engagement metrics.
• Evaluate marketing performance across channels, campaigns, and budgets.
• Work with key business metrics, including CAC, LTV, ROMI, attribution, and cohort analysis.

Reporting & Insights

• Prepare regular reports on product and business performance.
• Provide actionable insights and data-driven recommendations.
• Support stakeholders with analytical findings to enable informed business decisions.

Automation & Optimization

• Automate reporting processes and recurring analytical tasks.
• Improve reporting systems, data pipelines, and analytical workflows.
• Increase operational efficiency by reducing manual reporting and analysis.

Cross-functional Collaboration

• Partner closely with Product, Marketing, and Business teams.
• Translate business requirements into analytical solutions.
• Support product development and strategic initiatives through data insights.

Additional Responsibilities

• Analyze partner network performance and identify growth opportunities.
• Measure the impact of product changes before and after releases.
• Monitor payment-related metrics, identify anomalies, and investigate performance issues.
   

Benefits:

• Freedom to choose where to work: work from anywhere in the world with the freedom of remote options.
• Flexibility: enjoy flexible working hours that let you balance your personal and professional life while staying focused on delivering great results.
• Corporate English speaking club: improve your English proficiency with regular practice and expert guidance.
• A Culture That Cares: thrive in a friendly environment where a strong corporate culture builds connections, drives innovation, and makes you feel truly valued.
• Accelerate Your Growth: seize career advancement opportunities in a rapidly expanding marketing company. As the company scales, so will your professional journey.

Hey there, 

We're looking for a Senior Power BI Engineer who enjoys transforming complex data into clear, actionable insights. In this role, you'll partner closely with business stakeholders to gather and document reporting requirements, design intuitive dashboards, define KPIs and calculations, and build scalable Power BI reports that support real estate investment and lending decisions in the US market.
Our tech stack: Snowflake, dbt, Airflow, Azure, DataHub, and Power BI.

Skills & Experience

• Bachelor's degree in Computer Science, Engineering, or related field;
• At least 5 years of hands-on work with Power BI.
• Experience with user stories, mockups, and agreeing on what success looks like for dashboards and reports.
• Good skills in data modeling, data catalog, working with different data sources, and making sure data relationships are set up right in Power BI.
• Solid knowledge of SQL and connecting Power BI to databases.
• Great at writing DAX formulas for calculations and custom measures.
• Background in data warehousing and pipelines, working closely with data engineers for complex tasks.
• Experience with Snowflake especially when using them with Power BI. Airflow and DBT is a plus.
• Experience making clear documentation for dashboards: showing data sources, calculations, filters, KPIs, and visual details.
• Able to quickly make mockups and drafts, sharing ideas with teammates and others.
• Strong communication skills with both technical and business people.
  
   

Responsibilities

• Build, update, and manage Power BI dashboards and reports so business users get clear visuals and answers.
• Work with others to collect needs, write user stories, make mockups, and agree on success criteria.
• Break down each dashboard into clear pieces: showing data sources, calculations, KPIs, visuals, and filter options.
• Keep all documentation organized and easy for others to read and follow.
• Make sure reports are reliable, quick, and protected, using Power BI best practices and security features.
• Work closely with stakeholders by sharing drafts, explaining changes, collecting feedback, and adjusting dashboards so they’re really useful.
• Help set and improve standards for documentation and best practices.
  
   

We are looking for a Senior Data Analyst to join our global team. This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place.

 Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.
  
  Responsibilities:
• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.
   

Requirements:

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus (one or more)

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.
   

Nice to have:

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If scoring quality drifts or a provider degrades, you notice it and drive the fix without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If external data shifts or an API changes, you build around it instead of blaming the provider.
• Get It Done: You prioritize shipping answers. You know when to send a rough estimate and when to build a proper framework.

Openness: You share findings and admit mistakes openly — both wins and failures travel across the team. If you spot a better way to do something, you volunteer it without being asked.

We’re Applyft — an IT product company which creates value-driven mobile and web apps. Our journey began with the Geozilla family locator product, but now our portfolio consists of 8 apps in Family Safety, Parental Control and AI.

In 2025, we launched a new direction — Finestro, an AI-powered educational app that helps people master AI, improve their financial well-being, and unlock new growth opportunities.

Now we are looking for a Middle/Senior Marketing Data Analyst to support analytics across user acquisition and marketing performance.

About you:

• Strong SQL skills (BigQuery or similar).
• Solid understanding of marketing metrics: CAC, LTV, ROI/ROMI, payback.
• Experience working with large-scale datasets (transaction-level, event-level).
• Strong analytical thinking and ability to translate data into business insights.
• Experience with BI tools (Tableau/Looker Studio).

• Ability to work with attribution data and marketing sources (Meta, Google Ads, etc.).

   

What you’ll do:

• Analyze marketing performance across different channels (Meta, Google, etc.).
• Work with core datasets (spend, revenue, LTV, attribution).
• Transform marketing data into clear, actionable decisions for scaling.
• Analyze traffic quality, channel performance, and unit economics.
• Identify growth opportunities and initiate data-driven improvements.

• Work with LTV forecasts, payback periods, and scaling scenarios.

   

Nice to have:

• Experience with subscription-based products.
• Experience with payment data (Stripe, PayPal, refunds, chargebacks).
• Python skills.
• Familiarity with ML models and data science.
• Experience with Amplitude, AppsFlyer.
   

We Offer:

• Remote-First culture: We provide a flexible working schedule and you can work anywhere in the world
• Health taking care program: We provide Health insurance, mental health support (psychologist compensation), sport compensation, and 20 paid sick days.
• Personal Equipment Policy: We provide all necessary equipment for your work. For Ukrainian employees we also provide Ecoflow
• Vacation Policy: Each employee in our company has 20 paid vacation days and extra days on the occasion of special evens
• Knowledge sharing: We are glad to share our knowledge and experience in our internal events
• English Lessons: We provide corporate English lessons to support your professional and personal growth.
• Professional Development: Annual learning budget for courses, training, certifications, and conferences.
• Public Holidays: You receive days off according to the official public holidays of your country of residence.
• Coworking Compensation (Ukraine): We provide coworking space compensation for employees located in Ukraine.

Hiring process:
Recruitment Screen 👉Tech interview 👉Final Interview 👉 Reference Check 👉 Job Offer

Turn your expertise into real impact — be part of our team!

Our client is an international product-based IT company specializing in the iGaming industry. Born in 2014, they rocked the CIS region and are now taking their success worldwide.

We are currently looking for a Middle/Senior Data Analyst.

📋 Key responsibilities and your contribution:

• Own end-to-end analytics for an assigned domain, acting as the main point of contact for data-related business needs.
• Analyze user behavior to identify anomalies, suspicious activities, and emerging fraud patterns.
• Develop, optimize, and maintain rules and triggers for automated risk monitoring and fraud detection systems.
• Design, build, and maintain SQL models, dashboards, and reporting solutions to support business decision-making.
• Identify trends, risks, and growth opportunities, translating findings into actionable recommendations.
• Use SQL and Python to extract, transform, and analyze large datasets efficiently.

• Partner with cross-functional teams to conduct advanced analyses and provide insights that drive business strategy and operational improvements.

   

📚 Your qualifications:

• 2+ years of experience in Data Analytics in iGaming.
• Strong practical experience with SQL and relational databases.
• Experience working with Google BigQuery (GBQ) is a strong plus.
• Proficiency in BI tools; experience with Tableau is preferred.
• Strong analytical, problem-solving, and communication skills.

• A proactive, ownership-driven mindset with the ability to identify issues, propose solutions, and drive improvements.

   

➕ Nice to have:

• Experience in Fraud or Anti-Fraud Analytics is a strong plus.
• Familiarity with various analytical domains within the iGaming industry.

• Familiarity with Git.

   

Benefits:

⭐ Time Off & Recovery: 20 working days of fully paid annual leave, fully paid sick leave, and public holidays off according to company policy.

⭐ Health & Wellness: A flexible Benefits cafeteria that allows you to choose the perks that fit you best, with options including medical support, regular check-ups, mental health services, or gym access.

⭐ Education & Development: Internal and external training, industry events, language courses, and professional service subscriptions.

⭐ Workspace & Tech: All necessary corporate equipment provided, the flexibility to work fully remotely, and premium digital tools to enhance performance (e.g., AI tools, ChatGPT Plus).

⭐ Work Environment & Perks: Holiday bonuses, gifts for special occasions, paid business trips, and team events.

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