Jobs Data Analyst

We are looking for a data-driven VIP Analyst to strengthen our VIP and High-Value Player strategy across Casino and Sportsbook verticals. In this role, you will own VIP performance analytics, bonus efficiency evaluation, behavioral segmentation, and manager impact measurement across multiple brands and geographies.

You will play a key role in maximizing VIP lifetime value (LTV), optimizing bonus ROI, and detecting early churn or risk signals within high-value cohorts.
 

HOW YOU WILL MAKE AN IMPACT
 

1. VIP & High-Value Player Analytics

• Build and maintain a unified VIP analytics framework across Casino and Sportsbook products.
• Develop behavioral segmentation models based on betting activity, frequency, stake size, product mix, payment behavior, and engagement patterns — not just deposit volume.
• Conduct cross-brand and geo analysis (Tier 1 / Tier 2 / Tier 3 markets).
• Analyze VIP lifecycle: acquisition → activation → growth → retention → churn.
• Monitor and optimize key metrics: GGR, NGR, ARPU, LTV, Hold %, Bet Frequency, Average Stake.
   

2. Bonus ROI & Offer Optimization

• Measure ROI of VIP bonuses, free bets, cashback, reloads, and personalized offers.
• Analyze uplift impact on GGR, NGR, retention, and wagering behavior.
• Lead A/B testing of VIP promotions and incentive mechanics.
• Identify bonus abuse patterns and inefficient incentive structures.
• Ensure bonus cost aligns with profitability and margin targets.
   

3. VIP Manager Performance & Contact Strategy

• Evaluate impact of VIP manager contact rate on player retention, GGR, and NGR.
• Measure player performance before and after VIP assignment.
• Build KPI frameworks for VIP managers (retention rate, reactivation rate, revenue uplift, churn prevention).
• Optimize segmentation rules for VIP flows and assignment logic.
• Support data-driven decision-making for VIP team leads.
   

4. Risk, Fraud & Early Churn Detection

• Detect abnormal deposit and betting patterns (spikes, sharp betting behavior, bonus abuse).
• Identify early churn signals (decline in bet frequency, reduced stake size, inactivity trends).
• Collaborate with Risk & Fraud teams to monitor suspicious VIP behavior.
• Build automated alerts for high-risk or high-opportunity VIP accounts.
• Support responsible gaming monitoring within VIP cohorts.
   

5. Reporting & Data Infrastructure

• Own daily, weekly, and monthly VIP performance reporting.
• Deliver individual VIP dashboards to support personalized account management.
• Ensure consistency of VIP tagging, segmentation logic, and reporting across brands.
• Automate reporting processes and improve analytics infrastructure.
• Maintain transparency of GGR vs NGR impact in reporting.
   

6. Experiments & Product Impact

• Take analytical ownership of experiments related to payments, withdrawals, limits, VIP flows, CRM mechanics, and loyalty programs.
• Evaluate impact of operational changes on betting activity and VIP profitability.
• Translate analytical findings into clear business recommendations with financial implications.
• Partner with Product, CRM, Payments, and Risk teams.
   

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• 2+ years of experience in iGaming (Casino / Sportsbook) analytics.
• Strong SQL skills (experience working with large transactional betting datasets).
• Solid understanding of GGR, NGR, Hold %, LTV, churn rate, bonus cost mechanics.
• Experience with BI tools (Power BI / Tableau / Looker).
• Experience with A/B testing and experiment evaluation.
• Strong business mindset and ability to communicate insights to non-technical stakeholders.
   

Nice to Have

• Experience with churn prediction or behavioral modeling.
• Knowledge of sharp betting detection and bonus abuse patterns.
• Experience with Python (Pandas, statistical analysis).
• Familiarity with regulatory requirements across Tier 1 markets.
   

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!
• 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.

About the Role

As a Senior Business Systems Analyst, you will play a key role in defining requirements and shaping the AI-driven future of Pearl’s Analytics and Experimentation platforms. You will work closely with Analytics, Machine Learning, and cross-functional Engineering teams to ensure our data and experimentation platforms are high-quality, AI-enabled, and lean.

This role is critical for driving the adoption of AI tooling, improving experiment workflows, supporting data platform enhancements, and ensuring data quality and regulatory compliance across systems.

 

What You’ll Do

AI Analytics Tooling (30%)

• Evaluate and pilot AI tools (e.g., ADI Bot, Databricks Agents) and design future enhancements.
• Define adoption metrics and collect user feedback.
• Create enablement materials and promote AI-driven workflow improvements.

Experimentation Platform Support & Optimization (25%)

• Support A/B testing frameworks and validate experiment configurations.
• Partner with Analytics, Engineering, and Machine Learning to improve experimentation workflows.
• Recommend tooling enhancements and streamline experiment lifecycle processes.

Data Platform Analysis & Metadata Governance (25%)

• Evaluate and design enhancements for current data platform offerings (Google Analytics, Internal Data, PostHog).
• Promote adoption of OpenMetadata and improve metadata coverage.
• Design and track AI readiness through documentation scores, dataset lineage, and other readiness metrics.
• Work with platform teams to enforce data standards and governance.

Data Quality Support (10%)

• Review data quality audits and communicate results across teams.
• Maintain data health scorecards and identify recurring issues.
• Collaborate with engineering teams to prioritize and resolve data quality issues.

Regulatory Compliance & Requirements Management (10%)

• Translate regulatory obligations (GDPR, CCPA, etc.) into system requirements.
• Work with Legal, Security, and Data Engineering on compliance controls.
• Document workflows, maintain audit artifacts, and support periodic reviews.
  
   

What We’re Looking For

• 5+ years of experience in Business Systems Analysis and/or database analysis, including end-to-end business requirements identification and gathering.
• Ability to query, analyze, and troubleshoot datasets using SQL.
• Experience with agile software development.
• Hands-on use of AI tools within analytics or data engineering workflows.
• Basic experience with a modern software development language (Python, C#, Java, TypeScript/JavaScript).
• Strong knowledge of Experimentation methodology/platforms
• Understanding of documentation standards, lineage, data quality audits, and governance processes.
• Сonceptual thinking, analytical, and problem-solving skills.
• Strong communication skills with proven experience collaborating cross-functionally with engineers, product managers, and analytics teams.
• Desire and ability to lead, advocate for features, and make data-driven recommendations.
• Ability to thrive in a fast-paced environment and meet aggressive deadlines while managing multiple projects.
• English proficiency (at least strong upper-intermediate level).

About the Role
In this role, you’ll support the Business Analyst team by documenting requirements, keeping project information structured, and ensuring smooth communication inside the team. You’ll work under the guidance of an experienced BA, who will explain tasks and provide mentorship.

This is a great opportunity to start your career in Business Analysis and grow step by step in a safe, supportive environment.

Responsibilities

• Document requirements and project information clearly and accurately
• Communicate with the internal team to clarify and confirm requirements explained by the senior BA
• Help maintain specifications, flow diagrams, and other project documentation
• Support the BA team in keeping project tasks organized and up-to-date

• Assist in preparing reports and structured notes for the team

   

Requirements

• Strong attention to detail and ability to structure information clearly
• Good communication and teamwork skills
• Upper-Intermediate English (B2+)
  Self-organization and willingness to learn quickly
• Basic understanding of SDLC and Agile methodologies will be a plus
   

Nice-to-Haves (but not compulsory)

• Familiarity with basic documentation or task-tracking tools (Confluence, Jira, Google Docs, Notion, etc.)

• Interest in IT, Business Analysis, or Project Management

   

What You’ll Get

• Access to a highly organized team (PMs, QAs, devs, all in place)
• Paid vacation and sick leave
• Flexible, friendly working culture
• Opportunities to grow and test your hypothesis
• Corporate English classes
  
   

We’re looking for a Lead Product Analyst who can turn raw data into product strategy and help the team make smarter decisions every day. If you enjoy connecting metrics with real user behavior, leading analysts, and shaping product direction with data - this quest is for you 🚀
 

💪 YOUR QUEST-LINE:

• Guide and grow a team of Product Analysts - help them think deeper and keep the analytical bar high;
• Own analytics across key product domains - understand how users behave, what drives engagement, and where monetization actually happens;
• Shape and refine core product metrics (LTV, retention, churn, cohorts, funnels, activation/A-ha moments) and ensure consistent metric definitions and event taxonomy across the company;
• Develop and maintain dashboards in Tableau / Amplitude that reflect key product and business metrics;
• Drive experimentation culture - from shaping hypotheses to interpreting results and explaining what they mean beyond the numbers;
• Bring structure and statistical sanity into A/B testing and decision-making;
• Analyze user lifecycle and segmentation to uncover growth opportunities, friction points, and revenue drivers;
• Keep an eye on product health metrics, set up alerts/anomaly checks, investigate drops, and drive quick RCA with clear next steps;
• Work closely with CEO, CPO, Product Managers, and key stakeholders to make data part of everyday decisions;
• Continuously improve how we work with analytics - definitions, reporting logic, internal standards.

👨‍🚀 YOUR IN-GAME SKIN:

• 5+ years as a Product Analyst in product-based tech environments;
• 1+ year of experience leading or mentoring analysts;
• Strong SQL skills with hands-on experience working with large datasets;
• Experience defining and evolving core product metrics: retention, LTV, churn, funnels, cohorts, segmentation, activation;
• Hands-on experience designing and analyzing A/B tests, understanding statistical significance and experiment pitfalls;
• Experience working with Tableau and Amplitude;
• Experience building dashboards and reporting systems that support real product decisions;
• Experience owning metric definitions/event tracking and ensuring data consistency across tools (single source of truth);
• Understanding of how metrics connect to business impact and monetization logic;
• Strong communication skills - able to translate complex analysis into clear, actionable insights;
• Upper-Intermediate level of English.

🧜‍♀️ WILL BE YOUR BOOST:

• Familiarity with the Steam trade system, skins market, or gaming experience (CS2, Dota2, Rust);
• Domain experience in high-load E-commerce, Fintech, or iGaming projects;
• Proficiency in Python for deeper product analysis.

🥷 YOUR POWER-UPS SOURCE:

• Spontaneous weekend from the CEO;
• Support for professional development, including events (we went on a MAJOR trip to Copenhagen, for example), certifications, and educational materials;
• Start working at a time that’s comfortable for you;
• People Partner who will always support you in word and deed;
• Anniversary and performance bonuses;
• Input on project direction in a bureaucracy-free environment;
• Regular performance reviews and personal feedback sessions;
• 20 paid vacation days and 7 sick leave days;
• Assisting with the accounting and tax management for individual entrepreneurs;
• English language and Well-being benefit — so that you can improve your mental health the way you want;
• No time tracking;
• We purchase CHARGING STATIONS for our spacers;
• We help Ukraine: every month the company supports AFU and transfers donations for ammunition and supplies.

If you read everything carefully and exclaimed: «Oh, yeah, I'm good at everything and I want to do cool things together!», then we are already looking forward to your resume! 

Send them as soon as possible! 🚀

About the role:

We are looking for an experienced Data Analyst / Engineer (Data Analyst+) to work in our Kyiv office as part of Product Management (Lab & Studios). In this role, your primary mission is to enhance the speed and quality of analytical insights, turning data into clear answers and recommendations that support informed product and business decisions.

This position is analytics-first: you will focus on metrics, in-depth analysis, data validation, and delivering stakeholder-facing insights. You will collaborate closely with data engineering, product management, R&D, and BI colleagues when changes in pipelines, models, or data structures are needed.

 

Areas of responsibility:

• Drive analytical work with Product Management and Data Engineering (Lab & Studios): clarify the question, define metrics, select the right approach, and deliver decision-ready insights.
• Perform deep-dive analyses on product usage and operational performance (e.g., segmentation, trends, anomaly/root-cause analysis, adoption and behavioral patterns).
• Build and maintain dashboards and visualizations, primarily using Databricks Dashboards, to support fast and reliable decision-making.
• Create data extracts and curated analytical datasets to enable ad-hoc analysis and stakeholder self-service.
• Define, align, and maintain metric definitions (single source of truth): assumptions, logic, filters, limitations, and interpretation guidelines.
• Sanity check and validate usage and business data; identify inconsistencies, gaps, and tracking issues and follow through until resolved.
• Define and adapt data collection strategies across our products together with relevant stakeholders in R&D and Product (ensure we measure the right things consistently).
• Create and maintain relevant reports and dashboards together with Product Management (in alignment with existing reporting standards and best practices).
• Apply advanced analytical techniques, including basic data science approaches, forecasting, or AI-assisted analysis, where relevant to generate deeper insights.
• Enable faster self-service for stakeholders by documenting datasets/metrics and recommending the right views for recurring questions.
• Collaborate with Data Engineers / BI Developers on data availability and reliability (request and specify needed transformations rather than owning heavy infrastructure).
• Align with key stakeholders in R&D Management, Development Teams, Product Management, Finance, BI team, and corporate IT.

To succeed in your role, you should possess the following skills and competencies:

• Strong analytical mindset with a bias for clarity and actionable conclusions
• Ability to apply critical sense to analysis results (challenge assumptions; quantify uncertainty)
• Strong stakeholder management skills and the ability to translate business questions into analytical tasks
• Excellent communication and data storytelling skills
• Detail-oriented approach and high standards for data accuracy
• Ability to prioritize in a fast-changing environment and deliver with short lead times

You will be able to utilize the following experience:

• Strong SQL skills (data extraction, validation, consistency checks, performance-aware querying)
• Proven experience delivering insights from product / usage / operational data (not only reporting, but interpretation and recommendations)
• Hands-on experience building dashboards and visualizations, preferably with Databricks Dashboard
• Solid understanding of data quality practices (validation, reconciliation, monitoring)
• Experience with Power BI (a strong plus)
• Python for data analysis (a strong plus)
• Experience or interest in data science techniques, forecasting, or applying AI/ML models to analytical insights (nice to have)
• Familiarity with data modeling concepts (e.g., dimensional thinking, metric layers) is a plus
• Basic understanding of ETL/ELT and modern data platforms (e.g., Databricks) is a plus - infrastructure ownership is not the focus
• Knowledge about OLTP/OLAP (online transaction/analytical processing)
• Programming experience and version control (Git) is a plus

Being part of us means:

• Meaningful work that helps to change the future of dentistry
• Work in a unique professional, friendly and supportive environment
• Constant professional growth and development
• A healthy work-life balance
• Comprehensive benefits incl. 24 working days of annual vacation; medical insurance; paid sick leaves and child sick leaves; maternity and paternity leaves etc
• Breakfasts and lunches in the office
• Good working conditions in a comfortable office in UNIT.City
• A parking lot with free spaces for employees
• Occasional business trips to Western Europe
• Opportunity to become a part of the success that 3Shape has created over the past 25 years.
   

Paycord is a PayTech company with a high-load platform for payment processing. We combine fintech expertise with merchant insights to create innovative solutions. We’ve successfully developed a strong product that helps businesses succeed in new markets.

Our primary focus is on solution-driven development, and we prioritize the needs of our business clients. We provide access to a wide range of local and international payment methods, supporting businesses in reaching new heights and achieving excellence.

We`re rapidly inviting Reconciliation Specialist to our team.


Required skills and expertise:

• Commercial experience in similar environments:PSP/fintech/acquiring/processing/merchant;
• Python for reconciliation automation and large dataset processing (pandas/NumPy basic SQL is a plus);
• Excel/Google Sheets: formulas (VLOOKUP/XLOOKUP, SUMIF/SUMIFS, INDEX/MATCH), PivotTable, conditional formatting; basic macros/Apps Script is a plus;
• Strong analytical skills and attention to detail;
• English — Intermediate (work correspondence/calls);
• Ability to work independently in operational processes, taking ownership of results.

You would be running such tasks as:

• Daily/weekly reconciliation of transactions between external providers, bank statements, processing logs, and internal systems;
• Identifying discrepancies, managing incidents through resolution (root cause analysis, fixing, prevention);
• Preparing final operational/financial reports (including month-end close);
• Automating routine reconciliations/data quality checks (Python, spreadsheet tools);
• Defining reconciliation rules (commissions, exchange rates, holds/reserves, chargebacks), maintaining data quality control points;
• Cross-functional interaction with Finance, BizDev (Account), Risk & Compliance, Support; ensuring SLA compliance;
• Documenting processes, data schemes, and checklists.

Nice to have:

• Direct experience in the fintech industry;
• Knowledge of chargeback/representment/dispute flows, interaction with acquirers and APMs;
• SQL/ETL/BI (Power BI / Looker Studio / Tableau), experience with DWH/API/SFTP;
• VBA / Google Apps Script; Git for script version control;
• Experience with multi-currency reconciliation.
   

We offer:
Care for your health and well-being:

• 100% paid sick leaves;
• 20 working days of paid vacation;
• Comprehensive medical support;
• Benefits Cafeteria (budget for gym, dental services, psychological support, etc.);
• Corporate gifts and events.Professional Growth & Development:
• Competitive salary with annual salary promotions;
• Annual budget for professional courses, conferences, workshops, and books;
• Access to internal training courses;
• Collaborate with a team of professionals and opportunities to share knowledge.Corporate Culture:
• Dynamic, result-oriented work environment;
• Ability to influence product development at an early stage;
• Openness to new ideas and approaches, fostering healthy team discussions;
• No “red tape” culture, encouraging innovation and creativity.

Candidate journey:
HR Interview ---> Interview--->Test task

       We are an international iGaming holding, actively growing and now launching a new online casino project on the LATAM market, with an emphasis on Argentina.

       We are looking for a data-driven and creative Retention CRM Manager to take ownership of player lifecycle management and CRM communications. You will develop retention strategies, design and execute multi-channel campaigns (email, SMS, push, in-app), and drive personalization and automation that maximize player LTV, reduce churn, and increase revenue.

Key Responsibilities:

• Develop and execute CRM and retention strategies tailored for online casino players
• Segment player base by key parameters (LTV, deposit frequency, activity, geo, etc.)
• Plan, launch, and optimize multi-channel CRM campaigns (email, SMS, push, in-app, WhatsApp, Telegram, etc.)
• Monitor, analyze, and improve retention funnels and player engagement metrics.
• Collaborate with Marketing, Analytics, and Product teams to create personalized offers and promotions.
• Track and optimize KPIs such as Retention Rate, Reactivation Rate, Churn Rate, ARPPU, LTV.
• Run A/B tests and implement data-driven improvements.
• Support local marketing activities for LATAM players.
  
   

Requirements:

• 2+ years of experience as a Retention Manager / CRM Manager in iGaming.
• Hands-on experience with CRM tools (Optimove, Smartico, Salesforce, Ometria, Emarsys or similar).
• Strong analytical skills and experience with BI tools (Tableau, Power BI, Looker).
• Expertise in customer segmentation and building user journeys.
• Deep understanding of retention and monetization metrics in iGaming.
• English (B2+) is required; Spanish is a strong advantage (especially for LATAM).
• Creativity and ability to generate engaging and relevant content for different audiences.
  
   

What we offer:

• Opportunity to become part of the launch of a large international project
• Freedom of action and influence on the brand strategy
• Work in a multicultural team of professionals
• Competitive remuneration and bonus system
• Prospects for career and professional growth within a large holding
• Remote work format
• Health and leisure care: paid vacation and sick leave 
• Quick decision making and freedom from micromanagement
   
   Are you ready to create a brand that will be a leader in LATAM? Then join the best and shape the future of the iGaming industry with us! 🚀

About the company:
       Our LATAM iGaming startup is more than a business, it is a place where ideas, talents and opportunities meet. 🤝
      As part of an international holding, we bring global expertise in the gaming industry to the Latin American market, while remaining close to the culture and needs of players.

       You can grow with us, influence the outcome and shape the gaming experience of the future.💯

 We are EverREST, a Salesforce & RevOps consulting firm. We help global companies turn chaos into revenue through system architecture. We are looking for an experienced Business Analyst to join our international team and bridge the gap between business needs and technical execution on high-ticket projects.

What You Will Do:
Analyze: Document and optimize complex business processes to build high-efficiency Salesforce solutions.
Facilitate: Lead workshops and discovery sessions to define needs, priorities, and project scope for global stakeholders.
Translate: Turn abstract business requirements into crystal-clear User Stories, Acceptance Criteria, and process documentation.
Collaborate: Work hand-in-hand with Salesforce Admins, Developers, and QA to ensure functional alignment and seamless delivery.
Validate: Manage UAT (User Acceptance Testing) and ensure the implemented features meet the highest quality standards.

What We Expect:
English: Advanced (C1). Your writing and verbal communication must be flawless, persuasive, and professional for daily interaction with international clients.
Enterprise Experience: Proven track record of working with large-scale Enterprise clients. You understand their internal structures, security requirements, and the complexity of global workflows.
Salesforce Expertise: 1.5–3 years of experience as a BA. You understand the Salesforce data model, objects, and platform logic (Sales, Service, or Experience Cloud).
Technical Writing: Mastery of creating structured documentation (Flow Diagrams, BRD, User Guides) within Agile/Scrum environments.
Result-Oriented: Focus on successful product adoption and business value, not just closing tickets.

Why Join EverREST?
Enterprise Projects: Hands-on experience working on large-scale, complex ecosystems for major international corporations.
No Micro-management: We care about results and trust experts to own their work.
Strong Delivery Culture: Flexible schedule, supportive team, environment that rewards initiative.

Skylum allows millions of photographers to make incredible images. Our award-winning software automates photo editing with the power of AI yet leaves all the creative control in the hands of the artist.

Join us on our mission to make photo editing enjoyable, easy, and accessible to anyone. You’ll be developing products with innovative technologies, providing value and inspiration for customers, and getting inspired in return.

Thanks to our incredible team of experts, we’ve built a collaborative space where you can constantly develop and grow in a supportive way. At the same time, we believe in the freedom to be creative. Our work schedule is flexible, and we trust you to give your best while we provide you with everything you need to make work hassle-free. Skylum is proud to be a Ukrainian company, and we stand with Ukraine not only with words but with actions. We regularly donate to various organizations to help speed up the Ukrainian victory.

We’re looking for a strong Product Analyst to join the Skylum team and work closely with our CPO and Product Managers. This role is not a service function – it’s a key partner in decision-making, helping drive product growth through data, insights, and experimentation.

What you’ll do:

• Collaborate closely with the CPO and Product Managers, proactively exploring data to uncover opportunities and share findings in a structured, actionable way, to define metrics, goals, and forecasts
• Deep dive into multiple data sources to understand how customers are interacting with our products and providing recommendations to assist in decision-making across the product areas
• Operational monitoring of key metrics and determining the causes of deviations from the expected values
• Proactively contribute to, own, create, and track OKRs for the Product teams, keeping them accountable throughout the quarter
• Form different hypotheses in the area of product development for increasing the metrics of retention and monetization
• Collaborate with teams to implement and assess the performance of A/B and MVT testing site-wide
• Research and conclude on results of A/B tests and provide insights for improvement
• Take part in exploratory and proactive analysis across the product areas and present these findings back to stakeholders
• Develop and maintain data visualization and KPI dashboards that reflect the best ways to simplify data for various audiences
• Provide analytical support to our marketing team to reduce the cost of traffic and increase marketing ROI
   

Requirements:

• Advanced SQL skills
• Knowledge of BI tools (preferably Tableau) – Must
• Experience with 3rd party product analytics systems (e.g. AppsFlyer, Amplitude, Firebase)
• Strong statistical foundations
• Solid knowledge of key product metrics, experience in building funnels and making recommendations based on them
• Critical thinking skills to recommend original and productive ideas
• Team player with strong communication skills
• Self learner and curious individual
• Good knowledge of working with agile/scrum methodologies within the SDLC
• Ability to operate with minimal direction, adapting to the needs of stakeholders and taking on feedback.

Not mandatory but would be a plus:
 

• Experience in R / Python
• Experience with data tooling i.e. Airflow/DBT or other ELT/ETL

What we offer:

For personal growth:

• A chance to work with a strong team and a unique opportunity to make substantial contributions to our award-winning photo editing tools;
• An educational allowance to ensure that your skills stay sharp;
• English and German classes to strengthen your capabilities and widen your knowledge.

For comfort:

• A great environment where you’ll work with true professionals and amazing colleagues whom you’ll call friends quickly;
• The choice of working remotely or in our office space located on Podil, equipped with everything you might need for productive and comfortable work.

For health:

• Medical insurance;
• Twenty-one days of paid sick leave per year;
• Healthy fruit snacks full of vitamins to keep you energized.

For leisure:

• Twenty-one days of paid vacation per year;
• Fun times at our frequent team-building activities.

If you are looking forward to working with true professionals and simply amazing people & product — we are waiting for your CV!

We are looking for a hybrid Graph Data Scientist and Web Visualization Engineer to work across two interconnected streams: advanced graph analytics and development of a production-grade web application for interactive data exploration and stakeholder reporting.

This role combines deep graph database expertise, algorithmic thinking, and strong frontend engineering skills to deliver both analytical insights and a robust, user-facing web platform.

Role Overview
The specialist will contribute across two complementary workstreams depending on project phase and priorities.

Workstream A – Graph Analytics & Algorithms (0–50%)
 

• Explore and understand complex graph schemas using database tooling
• Develop efficient graph queries to identify patterns and relationships
• Implement graph algorithms and pattern detection (e.g., link prediction, shortest paths, structural metrics)
• Perform statistical analysis of graph structure
• Collaborate with domain experts to refine hypotheses and analytical approaches

Workstream B – Frontend Web Application (50–100%)
 

• Define and prioritize features for a usable MVP and iterative product evolution
• Architect and implement a modern SPA/SSR web application (React/Next.js, Vue/Nuxt, or similar) using TypeScript
• Build high-performance, interactive graph visualizations with property panels, filtering, search, drill-down, and linked brushing
• Visualize ML model outputs and analytical results
• Deliver dashboards, dynamic reports (PDF/HTML export), and in-app narratives
• Integrate authentication (OAuth2/OIDC) and role-based access control
• Implement logging, telemetry, and issue tracking integration
• Ensure performance optimization for large-scale graphs (WebGL where applicable)
• Maintain CI/CD, automated testing, accessibility, and cross-browser compatibility

Technical Requirements

• Hands-on experience with graph databases and query languages
• Strong understanding of graph theory and applied graph algorithms
• Modern frontend development expertise (JavaScript/TypeScript + framework)
• Experience with web visualization libraries (D3, Plotly, ECharts, Vega-Lite)
• Experience with graph visualization libraries (Cytoscape.js, Sigma.js, etc.)
• API integration (REST/GraphQL) and secure client-side data handling
• Git-based workflows and structured release management

Nice to Have

• Graph ML & embeddings (node2vec, DeepWalk, GraphSAGE)
• PyTorch Geometric / DGL exposure
• Experience with multimodal scientific data (e.g., omics, imaging)
• WebGL optimization for large graph rendering
• Experience with CI/CD, containerization, and cloud deployment

Turbo Games - builds some of the fastest and most engaging crash games in the iGaming industry, offering 40+ Provably Fair titles enjoyed by players worldwide. As we continue to grow our high-load, real-time game ecosystem, we’re looking for an Anti-Fraud Analyst to be responsible for detecting, predicting, and preventing fraud through behavioral pattern analysis, risk model development, monitoring automation, and financial risk control 🚀

Key Requirements:
- 3+ years of experience in Anti-Fraud / Risk / Payments Fraud / Operations Analytics
- Practical experience in developing or improving anti-fraud systems for iGaming products (casino, slots, instant, crash)
- Practical experience in detecting and analyzing bonus abuse mechanics
- Experience in detecting fraud schemes, abuses, and system vulnerabilities
- Understanding and practical experience working with:
        - RTP, volatility, hit rate, and bonus mathematics
        - player behavioral analytics
        - approaches to multi-account detection
        - bonus mechanics and bonus abuse scenarios

- Experience in risk modeling/forecasting and development of “protection”, minimization of financial losses

Technical Requirements:
- Advanced SQL (CTE, optimization, window function)
- Python (pandas, numpy, scikit-learn) or R
- Experience working with large datasets – ClickHouse
- Basics of statistics and probability theory
- Preferably experience working in Power BI or a similar BI system
- Automation of reporting for daily fraud detection
 

Responsibilities:

- Analysis of financial and gaming indicators, as well as player activity
- Detection of: 
       - multi-accounting
       - bonus abuse schemes
       - bot behavior or the use of software for placing bets
       - RTP or win-rate anomalies (binomial / poisson modelling for win-rate anomalies)
- Development of risk segmentation and fraud scoring models
- Configuration of real-time monitoring, triggers, and alerts
- Automation of anti-fraud processes and development of risk infrastructure
- Work with BI dashboards, SQL queries, and game round logs
- Preparation of risk reporting, conclusions, and recommendations for business, management, and product-operational teams jointly with the Anti-Fraud specialists 
- Control and escalation of fraud risks
- Collaboration with Analytics, Backend, Product, and Operations teams
- Joint development of antifraud strategy and risk control system
 

Will be a plus:
- Experience in building risk-scoring or anomaly detection models
- Experience using (mathematical) statistical methods / ML in fraud analysis
- Work with fraud rules engines, antifraud platforms, or monitoring systems
- Experience in payments, KYC/AML, or high-risk geos (how to bypass KYC)
- Experience launching automated antifraud alerts and monitoring
- Understanding of how to abuse free spins / cashback
- Ability to prove with numbers the economic feasibility of blocking users (false positive effect)

We offer:
🧘‍♂️ Work-life balance — even in challenging times
- We have created an environment where it’s pleasant to work and grow. You’ll find the balance between work and leisure and feel what it’s like to be part of a team that truly values you.

💻 Work format
- Choose where and how to work — from home, the office, or anywhere in the world.
-  Flexible schedule — we value your life rhythm.

🎉 Atmosphere and development
-  Gifts, giveaways, training, team buildings, and corporate events — you’ll never be bored with us!
-  Internal training, mentoring, access to courses.
-  Career growth without bureaucracy.

🏝 Vacation and sick leave
 🗓 Annual paid leave: 20 working days + 5 additional days off
 💊 Paid sick leave: 15 days per year
 🧠 Professional support: access to psychologist consultations (compensation package may be extended)
 💻 Online development: regular webinars, workshops, and trainings on both professional and general topics

🚀 Why us?
If you are looking for a friendly and ambitious product company that:
-  Uses modern technologies,
-  Values initiative and independence,
-  Is focused on the constant development of the team and the product

Then we are waiting for you! 🤝

We are looking for a BI Analyst to join a short-term project on a part-time basis. The role focuses on Power BI reporting, data modeling, and analytical support.

Engagement Details

• Part-time: 21–80 hours per month
• Contract duration: 2–3 months
• Possibility of prolongation
   

Requirements

• English level: B1+ (written and spoken)
• Strong experience with Power BI:
  • report and dashboard creation
  • data visualization best practices
• Solid understanding of data modeling concepts
• Experience with SQL for data extraction and manipulation
• Knowledge of DAX for building calculations and measures
• Analytical mindset and attention to data quality
   

Responsibilities

• Develop and maintain Power BI reports and dashboards
• Work with datasets from multiple sources
• Build and optimize data models for reporting needs
• Create and maintain DAX measures and calculations
• Collaborate with stakeholders to clarify reporting requirements
   

The job purpose is to co-create a trusted data environment for the executive management and internal clients required for business decision-making by applying various data analysis, visualization tools, and techniques
You will work alongside BI and Data Analysts, DWH experts, contributing to the development and maintenance of the corporate reporting eco-system. You will have a chance to become a subject matter expert in SQL, Tableau reporting, take part in cross-functional projects of a global IT company

• Responsibilities:

  • Provide business performance reporting, manipulating, and joining different data sets in the most appropriate format for the stakeholders
  • Perform ad-hoc reporting, extracting data from corporate data sources
  • Provide regular reporting required for Executive meetings
  • Take part in cross-domain deep-dive projects, delivering and highlighting insights, facts, and trends for executive decisions
  • Take part in internal Reporting&Analytics initiatives aimed at further development, and improvement of a data-driven culture
  • Communicate with internal stakeholders: BI analysts, DWH, Business & Back-office streams (Sales, Billing & Contracting team), Executive Management

• Mandatory Skills Description:

  - Microsoft Excel: proficiency
  - Microsoft PowerPoint: advanced

• Nice-to-Have Skills Description:

  - Tableau
  - PowerBI
  - Confluence
  - SQL

Duration: 3 months (with potential extension or conversion)
Reporting to: Director of Data & Analytics

Role Overview

We are seeking a highly skilled Analytics Engineer to provide immediate coverage and stabilization for our media data infrastructure during a transition period.

In this role, you will act as the primary data architect, responsible for maintaining and improving a complex Google BigQuery environment, ensuring data integrity across multiple marketing data sources, and migrating existing transformation logic into a scalable, transparent analytics framework to support our move toward Omni Analytics.
 

This position is ideal for a hands-on specialist who can quickly understand existing systems, stabilize operations, and bring structure and clarity to legacy data workflows.
 

Key Responsibilities

• Own and maintain a complex Google BigQuery data environment
• Ensure data accuracy, consistency, and reliability across multiple sources
• Manage and validate data ingestion from:
  • Supermetrics
  • APIs
  • Manual vendor files
• Reverse engineer existing SQL scripts and transformations to:
  • Extract embedded business logic
  • Document assumptions and dependencies
• Migrate legacy transformations into a scalable, maintainable, and transparent framework
• Support the transition toward an Omni Analytics architecture
• Collaborate closely with the Director of Data & Analytics and key stakeholders
• Apply best practices for version control and collaborative development using Git

Required Skills & Experience

• Expert BigQuery & SQL
  • Advanced SQL mastery (window functions, UDFs, scripting, query optimization)
  • Strong understanding of GCP and BigQuery performance considerations
• Marketing Data & AdTech Experience
  • Deep knowledge of advertising data schemas (Meta, Google Ads, TikTok, etc.)
  • Hands-on experience with data ingestion tools such as Supermetrics or Fivetran
• Problem Solving & Ownership
  • Proven ability to analyze, reverse engineer, and refactor legacy SQL logic
  • Strong troubleshooting and root-cause analysis skills
• Version Control & Collaboration
  • Proficiency with Git-based workflows (GitHub, Bitbucket)
     

Nice to Have

• Experience designing analytics layers or semantic models
• Familiarity with dbt or similar transformation frameworks
• Experience working with marketing or media analytics teams
• Prior involvement in data platform migrations or modernization initiatives

Engagement Details

• Contract duration: 3 months
• Possibility of extension or conversion based on performance and business needs
• High-impact role with immediate ownership and visibility
   

If you enjoy bringing order to complex data systems and taking ownership of critical analytics infrastructure, we would be happy to connect.

Please note that we consider only candidates who are located in Ukraine.

Responsibilities:

- Provide analytical support throughout the development of new product features — from discovering insights and product ideas in data, designing the required technical logs and DWH tables, to presenting analysis results to key stakeholders;

- Work collaboratively with product managers and engineers to ensure the right data is generated and collected;

- Own the design, development, and maintenance of ongoing dashboards and their underlying data sets;

- Monitor key metrics, and identify business trends;

- Present product and customer data-driven insights to product management and senior leadership — influence change with the outcome of your analysis and make recommendations to executives and team leaders;

- Lead deep-dive analysis that will frame product strategy and product roadmap decisions

Requirements:

- 5+ years of experience in an analytical role;

- Advanced SQL skills, ability to perform optimized querying involving multiple tables and subqueries;

- 3+ years of practical experience with BI tools (Looker/Tableau/etc), ability to leverage multiple data sources;

- Ability to work with a large amount of data, create reports, and recognize patterns;

 - Self-motivation, proactively going beyond the call of duty;

- The ability to work comfortably in a constantly evolving environment;

- Excellent written and verbal communication skills;

- English language proficiency — B2 is the minimum.
 

Would be a plus also:
 

• A/B testing experience;
• Proficiency in Airflow for workflow orchestration;
• Programming experience with Python or R.
   

What we offer:
 

• International company with several offices in different locations : Tel-Aviv, Kyiv, Warsaw, Limassol.
• Granting an Option;
• A professional environment with great people to work with;
• Competitive salary, performance review;
• Flexible working hours, no one here tracks your work time because our culture is built on trust and cooperation;
• Social package, including sports coverage, elite medical insurance for you and family;
• 20 working days paid vacation and 100% sick leaves coverage;
• Opportunities to make a difference, to develop and grow;
• Regular corporate celebrations, team buildings and fun activities;
• Comfortable office close to the metro station. Our Kyiv office is open 24/7 with all safety and health measures in place.