Jobs Data Analyst

We are looking for a Senior Data Analyst. 

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.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

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.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

Are you passionate about transforming complex datasets into actionable insights that shape strategic decisions? This Senior Data Analyst role offers the chance to work on cutting-edge pricing optimization projects for global retail brands, leveraging advanced analytics to drive measurable business impact.

We at Sigma Software are looking for a Senior Data Analyst to join our Data Analytics and Pricing Optimization team. The role is senior-level, full-time, and based in Ukraine, Europe, with flexibility to collaborate with international teams.

Why join us? You’ll work alongside Data Scientists on innovative pricing experiments, contribute to projects that influence market positioning worldwide, and be part of a company that values innovation, global reach, and professional growth.
CUSTOMER
Our customer is a leading retail technology company specializing in pricing optimization software. They partner with global retailers to enhance profitability and competitiveness through data-driven strategies and advanced pricing models. Known for their innovative approach, they deliver solutions that combine business intelligence with cutting-edge algorithms to maximize value for clients.
PROJECT
The project involves implementing and optimizing a sophisticated pricing platform for large-scale retail operations. You’ll work on aligning platform capabilities with client needs, designing pricing experiments, and ensuring adoption through training and support.

Key Technologies: SQL, Python/R, Power BI, Tableau, Looker, Revionics, DemandTec

Job Description

• Analyze business and pricing processes to identify optimization opportunities
• Conduct discovery sessions to understand client needs and processes
• Recommend improvements based on best practices
• Align platform capabilities with client requirements
• Design and validate pricing experiments with Data Scientists
• Configure pricing platform for optimal client setup
• Deliver user training and ongoing support
• Monitor pricing performance and share insights
• Drive user adoption and recommend strategies to maximize platform value

Qualifications

• 5+ years in pricing analytics, data analysis, or related field
• Strong analytical and problem-solving skills
• Proficiency in Excel/Google Sheets and BI tools (Power BI, Tableau, Looker)
• Advanced SQL skills and proficiency in Python or R
• Understanding of data structures, modeling, and warehousing
• Experience in data cleaning and quality assurance
• Proven delivery of impactful analytics solutions
• Knowledge of market analysis, customer segmentation, and psychological pricing
• Excellent communication and stakeholder management skills
• Upper-Intermediate English or higher

WILL BE A PLUS

• Pricing strategy experience (cost-plus, value-based, competitive models)
• Dynamic pricing and price elasticity analysis
• AI/ML applications in pricing
• Familiarity with pricing intelligence tools
• Experience with retail pricing software
• Knowledge of pricing-related legal restrictions

Cosmolot is a Ukrainian product IT company that creates and develops an online digital entertainment platform. We build technology-driven solutions with a strong focus on security, transparency, and user comfort.

As a Data Analyst, you will analyze payment and fraud-related data, identify suspicious patterns and risks, and support fraud prevention and payment optimization initiatives through data-driven insights and reporting.

Requirements

• 4+ years of experience as a Payment Analyst, Fraud Analyst, Product/Data Analyst, Risk Analyst, or similar role
• Strong practical knowledge of SQL: CTEs, window functions, aggregations, joins, query optimization
• Experience analyzing payment transactions, payment funnels, success rates, declines, errors and fraud-related metrics
• Practical experience with Power BI
• Strong Excel skills
• Ability to work with large datasets and combine data from multiple sources
• Strong analytical thinking and attention to detail
• Understanding of key payment and fraud metrics (AR, SR) 
• Strong communication skills and ability to clearly present insights to business stakeholders
• Ability to work independently in a dynamic environment

Your Responsibilities

• Analyze payment performance, fraud prevention metrics, and player transaction behavior to support business decisions 
• Investigate suspicious activity, fraud patterns, bonus abuse, multi-accounting, payment manipulation, and other abnormal user behaviors 
• Collaborate with business teams (Product, Payments, Risk & Fraud) on data requirements, analytical insights, fraud prevention, and payment optimization initiatives 
• Collect, prepare, validate, and combine data from multiple sources for analysis and reporting
• Build and maintain analytical reports and dashboards in Power BI for payment, fraud, and transaction monitoring

Nice to Have

• Experience in iGaming, fintech, payments, traffic analytics, or other high-risk industries
• Experience with PSPs, payment providers, aggregators, antifraud or risk management systems
• Knowledge of fraud detection, bonus abuse, or suspicious activity analysis
• Basic experience with Python for data analysis or automation
• Understanding of payment processes (routing, cascading, 3DS, BIN analysis, card, crypto, and alternative payments)

What We Offer

• Work in a strong team of professionals and genuinely supportive people
• Opportunities for professional growth and development
• Flexible working hours
• Medical insurance
• Sports expense compensation
• Psychological support
• Free language classes (English, Spanish, and German)
• 18 working days of paid vacation, paid sick leave, and sick days
• Regular team buildings and corporate events
• All necessary equipment for comfortable work

Наш клієнт — міжнародна маркетингова компанія, яка стрімко масштабується та займає провідну позицію в індустрії iGaming, з особливою увагою до ринку Азії.

Від глибоких досліджень ринку та розробки стратегії до результативних діджитал-кампаній і сміливих креативів — команда охоплює повний цикл маркетингу, допомагаючи клієнтам випереджати конкурентів в одній із найдинамічніших галузей світу.

Ідеально для тих, хто прагне:

• Визначати ключові метрики та методології для маркетингової, CRM та продуктової аналітики, узгоджувати їх із загальними бізнес-цілями та допомагати у прийнятті ефективних рішень;
• Виявляти можливості та проблеми за допомогою аналізу даних, формувати інсайти та презентувати їх у простому, придатному для дій вигляді;
• Працювати незалежно та автономно, тісно співпрацюючи з командами маркетингу, CRM та продукту для регулярного інформування про ефективність усіх маркетингових каналів у залученні клієнтів;
• Забезпечувати цілісність даних із різних джерел, активно аналізувати та вдосконалювати існуючі потоки даних;
• Сприяти підвищенню точності, надійності та загальної якості даних;
• Розробляти зручні для користувачів дашборди в Tableau для моніторингу основних KPI (як наявних, так і нових);
• Пропонувати інноваційні ідеї для оптимізації ефективності та результативності маркетингу;

• Очолювати процес автоматизації звітності для своєчасного та точного надання інформації.

   

Досвід, який стане твоєю перевагою:

• 2+ роки досвіду роботи в аналітиці, переважно у продуктовій аналітиці в сегменті B2C;
• Просунутий рівень володіння SQL;
• Досвід роботи з Tableau або аналогічними інструментами;
• Глибокі знання статистики та досвід їх застосування для аналізу складних даних;
• Знайомство з GIT та Airflow буде перевагою;
• Досвід роботи з бібліотеками Python також буде плюсом;

• Рівень англійської мови не нижче Intermediate.

   

Ми цінуємо:

• Здатність працювати самостійно та автономно;
• Уважність до деталей і висока культура праці;

• Проактивність та орієнтованість на результат.

   

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.

Долучайся — і нехай твоя історія зростання розпочнеться.

English version:

Our client, a fast-scaling international marketing company, is a major player in the iGaming industry, with a dedicated focus on expanding operations across Asia. From deep market research and business strategy to performance-driven digital campaigns and bold creatives, the team manages the entire marketing lifecycle to help clients stay ahead in one of the world’s most competitive industries.

Perfect for those who aim to:

• Define key metrics and methodologies for Marketing, CRM and Product analytics, align them with overall business goals, and assist in efficient decision-making;
• Identify opportunities and issues through data analysis, bring insights, and present them in an easy, actionable way;
• Work independently and autonomously, collaborating closely across Marketing, CRM, and Product to provide regular updates on the effectiveness of all marketing channels on the acquisition pipeline;
• Maintain data integrity from various sources, actively challenge and improve existing data flows;
• Contribute to the enhancement of accuracy, reliability, and overall data quality;
• Develop user-friendly Tableau dashboards to monitor primary KPIs, both existing and new;
• Recommend innovative ideas for optimising marketing performance and efficiency;

• Lead automated reporting for timely and accurate information delivery.

   

Experience you’ll need to bring:

• At least 2 years of analytical experience, preferably in B2C product analytics;
• Advanced proficiency in SQL;
• Proficiency in Tableau or similar tools;
• Solid statistical knowledge and experience in using statistics to analyse complex data;
• Familiarity with GIT and Airflow is a plus;
• Experience with Python libraries is also a plus;

• At least an Intermediate level of English.

   

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

• Capability to work self-sufficiently;
• Attention to detail and strong work ethic;

• Proactive and result-oriented mindset.

   

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.

Apply, and let your growth journey begin.

At A-Players, we are building a new AI product in the mental health and mindfulness space - and we are looking for a Data & Marketing Analyst who will own the analytics layer from day one.

We are not building analytics after the fact. We are building it before the first ad goes live. That means clean tracking from day one, attribution that reflects reality, and dashboards the performance team opens every morning - not once a quarter.

In practice, you will set up the full tracking infrastructure from scratch, own the attribution model, connect marketing spend to real revenue, and keep LTV and retention metrics current and trustworthy. You will work side by side with the performance marketing team.

You will be the dedicated analyst on this product. Around you is a mature data team of 10+ people across Data Analytics, Data Engineering, Data Science, BI, and AI, as well as shared infrastructure including BigQuery, dbt, Tableau, and GA4.

This role is a fit if you have navigated the full analytics stack at a fast-moving web subscription product, know what it takes to build trust in data from scratch, and want to do meaningful work on something that is just getting started.

Responsibilities

• Build the web tracking foundation for the product. Set up GA4 and GTM, both client-side and server-side, from scratch: UTM conventions, dataLayer schema, event deduplication, and attribution windows.
• Implement server-side conversions for paid channels, including Meta CAPI, Google Enhanced Conversions, and TikTok Events API.
• Build and maintain a web attribution model that connects marketing spend to actual revenue, and deliver channel-level LTV and CAC analysis.
• Design and own Tableau dashboards for acquisition metrics, including CAC, ROAS, and channel mix; funnel metrics, including registration → first purchase → repeat purchase; retention metrics, including cohorts and LTV curves; and financial overview.
• Support the performance marketing team with ad-hoc SQL analysis and Python scripts for automation.
• Design and analyze A/B tests across the funnel, document results, and help drive action based on findings.
• Document tracking conventions and data definitions in the knowledge base.

What we look for

• 3+ years of experience as a Data Analyst, Web Analyst, or Marketing Analyst working with web subscription or e-commerce products.
• Strong web analytics expertise, including funnels, attribution, tracking logic, and marketing performance measurement.
• Experience working with performance marketing data. 
• Experience working with raw and semi-processed data from Facebook Ads, Google Ads, TikTok Ads, or similar platforms, including data validation and cleanup.
• Strong understanding of subscription business metrics, including LTV, cohorts, retention, recurring revenue, CAC, and payback period.
• Experience setting up web tracking from scratch at least once, for example for a new product, new funnel, or new market.
• Advanced SQL: window functions, CTEs, query optimization, and working with complex datasets.
• Proficient Python: pandas, NumPy, analysis scripts, and basic automation.
• Experience with BI tools such as Tableau, Looker, Power BI, or similar.
• Comfortable working with ambiguity and building structure where it does not yet exist.
• Open, clear, and proactive communication style.
• High level of ownership and initiative.

Nice to have

• Hands-on experience with GA4.
• Hands-on experience with GTM, including client-side and server-side implementation.
• Experience working with PSP data.
• A/B testing experience.
• Tableau experience: dashboards, calculated fields, parameter actions.
• BigQuery experience: large datasets, cost optimization, and performance optimization.
• Experience with dbt.

We Offer

• Full ownership and freedom to set up tracking from scratch for a new product, with no legacy constraints.
• Real business impact: you will work directly with a performance team running live campaigns, not build dashboards no one reads.
• A strong data team around you (10+people), including Data Engineers, Data Scientists, BI specialists, and AI specialists to consult with, learn from, and grow with.
• Modern stack: SQL, BigQuery, dbt, GA4, GTM, Tableau, and Python.
• Openness to new practices: the team has already implemented GrowthBook, dbt, server-side tracking, and GenAI skills for analysts.
• Career path: strong performance opens the door to real career growth.
• Flexible schedule and remote-friendly setup.
• Competitive compensation with regular performance reviews.
• Medical insurance.
• Learning and development budget.

Description

Our client is the leading supplier of sports analytics to its clients. Using cutting-edge computer vision and AI/ML technologies, the company provides outstanding real-time sports performance analysis. As an analyst, you will be responsible for providing quality statistics for ice hockey games using the client’s proprietary tools.

Requirements

– Confident PC user (Windows)
– Basic English
– Extensive internet research skills
– Creative problem-solving and analysis skills
– Team player with good interpersonal and solution-oriented attitude
– Readiness to work in shifts (mandatory)
– Stress-resistance
– Ice Hockey knowledge is very beneficial; actual hockey playing skills are not required
– Video gaming experience is also useful

Job responsibilities

– Analyze ice-hockey games and record key events as they occur, such as successful pass, penetration of offensive zone, faceoff win, etc. (40+ total event types)
– Check the quality of content and do an analysis of quality data
– Work on various data tools and generate information by doing online research
– Provide inputs/content with high quality
– Ability to identify and verify source authenticity
– Solve complex problems in a time-bound and effective manner
– Ability to analyze data by doing secondary research

At the Kyivstar Big Data team, this role sits at the intersection of data, marketing and business impact. You will turn Big Data insights into practical targeting strategies that improve campaign performance and reinforce the value of data-driven marketing. This is a research-led advisory role focused on analysis, learning and influence rather than campaign setup or execution.

Responsibilities

•Analyze client briefs and business objectives to develop audience hypotheses and targeting approaches

•Research and map potential audience sources (events, apps, websites, behavioral signals, etc.)

•Recommend optimal audience selection and segmentation for promo campaigns

•Analyze campaign performance and convert results into actionable insights and improvement steps

•Prepare analytical briefs and requirements for Data Analysis team when deeper analysis is needed

•Build and maintain an internal knowledge base of audiences, use cases and proven targeting practices

•Advise B2B sales teams and clients on effective targeting strategies and realistic performance expectations

•Improve campaign quality through audits, post-analysis and structured recommendations

Requirements

•2+ years in digital marketing, media, research or other data-driven marketing environments

•2+ years’ experience in campaign analysis, marketing analytics, customer communications analysis or insights roles

•Strong analytical mindset with experience forming and testing hypotheses

•Ability to translate campaign data into clear, practical business recommendations

•Basic SQL is a plus

•Experience with CRM/direct channels (SMS, email, push, etc.) is a plus

•Strong interest in audience behavior, segmentation and decision drivers

•Ability to ask sharp questions, structure information and explain insights in simple business language

•Proactive, self-driven and comfortable working in a consultative, cross-functional environment

We offer

•A rare opportunity to help build a new data-driven business direction within Ukraine’s leading mobile operator

•Remote-first format with optional office visits

•Competitive salary plus performance bonus

•Paid vacation and sick leave

•Flexible working hours

•Comprehensive medical and life insurance

•Professional growth and career development opportunities

•A friendly, supportive and collaborative team

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

Always Pushing the Boundaries? You Already Belong at RISK!

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

We are looking for a Senior Product Analyst who will take ownership of product analytics and turn data into actionable business insights.

This role combines hands-on data analysis with strong product thinking, focusing on user behavior, product performance, hypothesis validation, and measurable business impact.
 

Job Description:

• Analyze user behavior across key product funnels: registration, deposit, betting activity, withdrawals, bonuses, and retention;
• Monitor key product KPIs such as conversion, retention, churn, LTV, session activity, user engagement, and revenue;
• Prepare product and business reports to identify which features, mechanics, or user flows drive engagement and revenue;
• Validate product hypotheses and help define the analytical approach to evaluate their impact;
• Analyze A/B tests and experiments, evaluate results, and provide clear conclusions and recommendations;
• Segment users and analyze cohorts by behavior, value, lifecycle stage, activity level, VIP potential, or risk patterns to support product and CRM decisions;
• Investigate drops or anomalies in product and business metrics and identify possible reasons behind changes;
• Independently structure analytical tasks, clarify business questions, define success metrics, and choose the right analytical approach;
• Work closely with Product, CRM, Marketing, Anti-Fraud, and other business teams to translate analytical findings into product and business recommendations.
   

Qualifications:

• 3+ years of experience in analytics within a B2C product as a Product Analyst, Data Analyst, CRM Analyst, or Marketing Analyst;
• Strong SQL skills and experience working with large datasets;
• Experience with BI tools such as Tableau, Power BI, Looker, or similar;
• Understanding of product metrics such as conversion, retention, churn, LTV, engagement, revenue, deposits, or user activity;
• Experience with funnel analysis, segmentation, hypothesis validation, or A/B testing;
• Proven ability to analyze complex data, identify trends, and provide actionable business insights;
• Strong communication skills and ability to collaborate with product, CRM, marketing, anti-fraud, business, and technical teams;
• Ability to clarify business requests, ask relevant questions, and structure analytical tasks;
• Proactive and result-oriented mindset, with readiness to work in a dynamic product environment;
• Familiarity with data visualization best practices and presenting insights to stakeholders;
• Proficiency in Ukrainian or Russian (written and spoken) for internal communication.
   

Nice to have:

• Experience in iGaming, fintech, or other high-volume B2C products;
• Experience with CRM analytics, bonus mechanics, retention, reactivation, or VIP segmentation;
• Experience analyzing traffic quality and its impact on product metrics.
   

Our Benefit Cafeteria is Packed with Goodies:

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

Ready to Take the Leap?

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

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

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

Always Pushing the Boundaries? You Already Belong at RISK!

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

We are looking for a Middle Data Analyst to join our analytics team and work with business data, Tableau dashboards, data quality, and product and marketing performance metrics.

This role is a good fit for someone who wants to go beyond routine reporting: understand business needs, clarify requirements, investigate data, identify trends and anomalies, and help teams make better decisions through clear and reliable insights.
 

Job Description:

• Monitor data quality by ensuring accuracy, consistency, and reliability of data across reports and dashboards;
• Build, maintain, and optimize automated reports and Tableau dashboards;
• Identify, investigate, and resolve data discrepancies across data sources and reporting layers.
• Collaborate with analysts and stakeholders to clarify requirements, define success criteria, and ensure correct interpretation of metrics;
• Monitor product and marketing performance, highlighting trends, anomalies, and optimization opportunities;
• Analyze traffic efficiency, including ROI, LTV, and conversion, to support data-driven decision-making;
• Help transform business questions into clear reporting or analytical solutions;
• Improve reporting processes and optimize dashboard performance to enhance efficiency and usability.
   

Qualifications:

• 2+ years of experience in data analytics, with strong hands-on experience in Tableau;
• Advanced SQL skills (MySQL, PostgreSQL) and experience in building complex analytical queries;
• Ability to translate business problems into analytical solutions;
• Strong analytical thinking and attention to data accuracy, consistency, and metric logic;
• Experience in communicating with internal stakeholders: requirements gathering, finding solutions, and presenting results;
• Ability to work independently and manage tasks from end to end;
• Proficiency in Ukrainian or Russian (written and spoken) for internal communication;
• English level: Pre-Intermediate or higher.
   

Nice to have:

• Experience in performance marketing or traffic analysis;
• Understanding of marketing metrics (ROI, LTV, conversion rates);
• Basic understanding of attribution or forecasting.
   

Our Benefit Cafeteria is Packed with Goodies:

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

Ready to Take the Leap?

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

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

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

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!

We are building one of the most powerful live-streaming platforms, already connecting 400K+ monthly active users through live events, interactive video chats, and real-time community experiences. Our mission is bold: bring joy, fight loneliness, and deliver safe, ad-free entertainment that keeps people coming back.
This is a complex, fast-moving space, and we love it that way! So, you will join a passionate, expert team tackling everything from scaling AI-powered recommendations to launching high-impact, data-driven features that boost monetization and engagement. Every idea counts here, and every release reaches a massive global audience.
We are now expanding into Arab countries and Europe, enhancing content quality, and rolling out new features to keep users hooked. We are among the Top 5 streaming products in the US and rank in the Top 10 worldwide. Our next milestone: break into the global Top 5, and we are moving fast to make it happen.

About the role: In this role, you will strengthen our product analytics by bringing senior-level expertise in statistical analysis, retention analytics, and experimentation. From your first weeks, you’ll dive into our product, data pipelines, and key metrics, delivering deep insights into retention and monetization, and independently running A/B tests to shape decisions at scale. Your input will help refine analytical processes and frameworks, directly influencing product strategy. With the chance to grow horizontally through diverse tasks, and to be involved in many of the company’s key processes, you’ll see the tangible impact of your work across the business.

In this role, you will

• Drive deep-dive analyses of user behaviour, retention, and monetization
• Independently design, monitor, and evaluate A/B tests and experiments
• Build, maintain, and improve analytical frameworks, dashboards, and reporting systems to ensure clarity and efficiency across the team
• Collaborate closely with product managers to define success metrics, uncover growth opportunities, and shape the product strategy
• Identify gaps and inefficiencies in current processes and elevate the team’s analytical capabilities by proposing smart improvements
• Ensure all product research meets the highest standards of statistical rigour, reliability, and scalability

It’s all about you

• Experience in product or marketing analytics and working cross-functionally with product, marketing, and engineering teams
• Advanced SQL skills and a solid foundation in statistics, including hypothesis testing, causal inference, regression, and retention/survival analysis
• Proven track record in product analytics, ideally in transactional or subscription-based business models, with experience in designing and evaluating A/B tests
• Ownership mindset, strong communication skills and structural thinking that will allow you to  translate complex data into actionable business recommendations for both technical and non-technical stakeholders
   

Would be a plus

• Experience with GBQ, Python and R for analytics
• Familiarity with cohort analysis, LTV modelling, and churn prediction
• Regular usage of AI tools like ChatGPT, Claude AI, Gemini, or similar to support your work

What we offer

Care and support: 

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
   

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule 
• Workspace rental reimbursement in other cities and abroad
• Modern equipment or depreciation of your own tools
   

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
   

Hiring process

• Intro call
• Technical interview
• Reference check
• Offer

We are looking for a strong Anti-Fraud Lead to join a new iGaming project at the pre-launch stage.
⭐ About BetVam

BetVam is a new licensed Ukrainian iGaming operator currently in the active launch phase and building its core business processes from the ground up.

We are creating a modern betting and casino platform focused on long-term growth, excellent customer experience, operational excellence, and full compliance within a regulated market.

As we prepare for launch, we are looking for an experienced Anti-Fraud Lead who will establish and manage the company’s fraud prevention framework, helping protect the business from financial losses, bonus abuse, payment fraud, account takeovers, and other operational risks.
♠️ Position Details

Location: Kyiv (Office / Hybrid)

Employment Type: Full-time

Start Date: ASAP

Project Stage: Pre-launch, Product Launch Phase
What You Will Do

• Build and lead the anti-fraud function from the ground up during the project launch phase.
• Develop fraud prevention strategies, policies, and operational procedures across sportsbook and casino products.
• Implement fraud monitoring processes covering deposits, withdrawals, bonuses, promotions, player behavior, and payment transactions.
• Design and optimize fraud detection rules, risk scoring models, and alert systems.
• Investigate suspicious activities, fraudulent transactions, multi-accounting, bonus abuse, payment fraud, and account takeover attempts.
• Work closely with Payments, Risk, Compliance, AML, Customer Support, Product, and Finance teams to mitigate operational risks.
• Monitor key fraud metrics and prepare regular reports for management.
• Analyze fraud patterns and emerging threats and recommend proactive solutions.
• Collaborate with external providers and anti-fraud vendors to improve fraud detection capabilities.
• Participate in selecting and implementing fraud prevention tools and technologies.
• Establish fraud-related KPIs, reporting frameworks, and escalation procedures.
• Support regulatory compliance requirements related to fraud prevention and player protection.
• Train internal teams on fraud awareness, fraud indicators, and best practices.
  What Is Important for Us
• 3+ years of experience in Anti-Fraud, Risk Management, Fraud Prevention, or Payment Risk within the iGaming industry.
• Strong understanding of sportsbook and casino fraud schemes, bonus abuse, multi-accounting, chargebacks, payment fraud, and account security threats.
• Experience working with anti-fraud systems, fraud monitoring tools, and risk management platforms.
• Strong analytical skills with the ability to identify fraud patterns and investigate complex cases.
• Experience building fraud processes, rules, and operational controls.
• Understanding of payment processing, PSPs, chargebacks, and transaction monitoring.
• Knowledge of AML, KYC, responsible gaming, and regulatory requirements within regulated gambling markets.
• Advanced Excel skills and experience working with reporting and analytics tools.
• Ability to make risk-based decisions in a fast-paced environment.
• Strong communication and stakeholder management skills.
• Ukrainian and/or Russian fluency.
• English proficiency at Intermediate (B2) level or higher.
• Who We Are Looking For
• We are looking for a proactive and analytical professional who combines strong investigative skills with a business-oriented mindset.
• The ideal candidate has hands-on experience in iGaming fraud prevention, understands how fraud impacts revenue and customer experience, and can build effective anti-fraud processes from scratch. You should be comfortable working independently, making data-driven decisions, and collaborating across multiple departments during a fast-paced product launch.
• This role is ideal for someone who wants to take ownership of the entire anti-fraud function and play a key role in building a secure, scalable, and successful iGaming operation from day one.

In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better.
We are now looking for an Integration Engineer to make the Integration process at Competera clear, consistent, and repeatable.

You could be a perfect match for the position if
You want to:

• Organize technical integration between Competera Pricing Platform and customers;
• Communicate with customers’ IT and commercial teams in their business hours;
• Supervise integration partners (contractors) and assist them with ETL creation and support;
• Maintain data validation (analyze, validate, troubleshoot data issues) and suggest options for process improvement and automation.

You have:

• SQL (mid +);
• Upper-intermediate level of English;
• Transformation from business request to technical requirements;
• Presentation and business communications skills Critical thinking, problem-solving, Quick learner;

• Ability to work under minimal guidance;

  Requirements (extra):

• Basic Core Python, Airflow;
• Experience with retail, enterprise customers.

You’re gonna love it, and here’s why:

• Rich innovative software stack, freedom to choose the best suitable technologies;
• Remote-first ideology: freedom to operate from the home office or any suitable coworking;
• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on;
• Regular performance and compensation reviews;
• Recurrent 1-1s and measurable OKRs;
• In-depth onboarding with a clear success track;
• Competera covers 70% of your training/course fee;
• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays;
• 20 business days of sick leave;
• Partial medical insurance coverage.

Drive innovations with us. Be a Competerian.

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