Jobs Data Analyst

We are looking for an experienced Data Analyst to join a project in the Fintech domain. You will work with large-scale financial datasets, delivering actionable insights and building analytical solutions that support business decision-making.
 

Requirements

• 3+ years of experience as a Data Analyst.
• Strong hands-on experience with Snowflake.
• Commercial experience with Sigma Computing (Sigma BI).
• Advanced SQL skills with the ability to write and optimize complex queries.
• Experience working with data modeling, reporting, and dashboard development.
• Ability to analyze complex datasets and translate business requirements into data-driven solutions.
• Strong communication skills and the ability to collaborate with business stakeholders.
• Upper-Intermediate or higher English.
   

Nice to Have

• Experience with other BI tools (Tableau, Power BI, Looker).
• Knowledge of cloud data platforms and modern data warehousing concepts.
• Familiarity with financial reporting and investment analytics.
   

If you enjoy transforming complex financial data into meaningful business insights and have strong experience with Sigma and Snowflake, we'd love to hear from you.

About us:
 

BetterMe — a global wellness ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.

Your impact:
 

• Primarily work with Marketing team and help to make correct data-informed decisions;
• Automate the management and monitoring of marketing platforms (e.g., campaign status tracking, performance monitoring, budget control, anomaly detection);
• Build scripts and tools to interact with ad platform APIs, streamline routine tasks;
• Create AI-assisted workflows using LLM APIs;
• Develop and support dashboards and reports that provide transparency into campaign performance and business KPIs;
• Contribute to our internal BetterBI system, consolidating marketing, financial, and product data.
• Help design a scalable and maintainable analytics infrastructure and improve internal data workflows.

About you:
 

• 2+ years of experience as a Data Analyst in a product-oriented company;
• Analytical mindset; ability to structure information and dive deeper when it is needed;
• Full proficiency in SQL and Excel;
• Hands-on experience with BI tools and data visualization (e.g., Tableau);
• Confident Python skills for data manipulation and scripting;
• Strong English written/verbal communication skills.
• Practical experience using ChatGPT, Gemini, or other LLM APIs, with a good grasp of prompt engineering to solve business tasks
   

Will be a plus:
 

• Experience working with product analytics platforms (Amplitude, Firebase, AppsFlyer, etc.);
• Understanding of A/B testing methodologies and experimentation frameworks;
• Experience working with digital marketing platforms (e.g., Meta Ads, Google Ads, TikTok Ads) via APIs.

What you get at BetterMe:
 

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.
Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.
Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.
Flexible work format. Choose what works best for you — office, remote, or hybrid.
Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.
Health insurance & corporate doctor.
Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.
Support for sports events. We cover entry fees and encourage the team to compete and participate together.
Modern equipment. We provide new hardware and everything you need for productive work.
Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.
An ambitious environment that gets recognized. Over the past two years, the BetterMe team has doubled in size, and we were named among Forbes’ Top 10 Best Places to Work in 2026.

Find more about us on social media platforms: Instagram, LinkedIn.

appflame – Ukrainian product IT company that creates world-class products: Hily, Taimi, AdConnect, Mailkeeper, and more.

We are today:

• 7 years, 500+ employees, offices in Kyiv, London, Limassol, and a coworking in Warsaw;
• in 2025, appflame ranked 5th among the 50 best employers in Ukraine according to Forbes and won in the 'Place for Growth' category.

Our apps Hily and Taimi are among the Top 5 dating apps in the U.S. with over 70 million users, while AdConnect and Mailkeeper specialize in developing and scaling our own B2B and B2C solutions.

Our mission:

• Flame up the world with Ukrainian products.

Our goals:

• Reach the top 5 list of product companies in the world.
• Become a unicorn.
• Turn Ukraine into a country where unicorns are born and thrive.

We are looking for daring, brave, and “crazy” people. Fans of creating real products and who dream about launching and developing cool startups. You have ambitions, we have comfortable conditions for their fulfillment.

You will:

• Analyze user behavior, funnels, and product metrics to identify growth opportunities and generate data-backed hypotheses.
• Design, launch, and analyze A/B tests end-to-end — from hypothesis formulation to documented decision.
• Translate analytical findings into clear recommendations for product managers and stakeholders.
• Build dashboards, reports, and analytical frameworks that help the product team track key metrics and move faster.

We’ll have a match if you have:

• 2+ years of experience as a Product Analyst.
• Strong SQL skills and experience working with large datasets.
• Hands-on experience with A/B testing.
• Solid understanding of statistics, product metrics.
• Experience with BI tools such as Tableau, Looker, Power BI, or similar.

Will be an advantage:

• Experience in fintech or personal finance products.

Your journey to the job offer: message from the recruiter > interview > test > final interview > job offer.

Why appflame?

• Involvement in the development of Ukrainian products that compete with the world's best market players.
• The opportunity to implement your ideas rather than being a cog in the system.
• Meaningful and useful products created to serve a specific purpose rather than make money for shareholders.
• Be around like-minded people who work on results.
• Work with the global market and a huge audience.
• Direct contact with Snapchat, Meta, Google, Apple, and access to their best practices.
• Well-established processes and great opportunities to growth within the company.
• Transparent evaluation of work based on personal performance indicators.
• Great benefits package and fair compensation.

We provide all you need for your talents to be fully revealed.

We are loyal to our people. Our loyalty doesn't fade at the end of the working day. We do not leave our people alone with their problems, neither professional nor personal.

Join us.

__________

We are against all types of discrimination, bullying, and stereotypes. We provide equal employment opportunities regardless of race, skin color, religion, gender, sexual orientation, gender identity, age, marital status, health status or any other characteristics.

We are a high-growth Fintech company dedicated to expanding financial inclusion through mobile-first digital solutions. By leveraging alternative data streams and real-time processing, we provide fast, flexible, and accessible financial tools to underserved markets globally.
 

Our Mission for This Role: In high-frequency Fintech, every transactional data point tells a story. You will analyze borrower behavior, optimize our scoring data pipelines, and directly influence the algorithms that manage financial risk and fuel our growth.
 

Key Responsibilities

• Risk & Credit Analysis: Analyze transactional patterns, repayment behavior, and user demographics to help optimize credit risk models and minimize default rates.
• Funnel Optimization: Deep-dive into product analytics to identify friction points in the digital application and onboarding funnel, improving conversion rates.
• Dashboard Architecture: Build and automate real-time dashboards (using Tableau, Power BI, or Looker) to monitor daily disbursement volumes, collection rates, and portfolio health.
• SQL Querying & Pipeline Health: Write and optimize complex SQL queries to pull multi-million row datasets from cloud data warehouses (e.g., Snowflake, BigQuery) without slowing down production environments.
• Regulatory & Compliance Reporting: Partner with legal and compliance teams to extract accurate data for mandatory reporting and audit trails.
   

Skills & Qualifications

Required (Day-One Essentials)

• Experience: 2–4 years of experience analyzing data within a Fintech, digital banking, or fast-paced transactional consumer app environment.
• Advanced SQL: Absolute comfort with window functions, subqueries, and blending data from unstructured or semi-structured sources (JSON, nested arrays).
• BI Visualization: Proven track record of building production-grade dashboards that non-technical operations teams can use daily.
• Analytical Grounding: Strong understanding of cohort analysis, customer lifetime value (LTV), customer acquisition cost (CAC), and basic probability.
   

Preferred (The "Nice-to-Haves")

• Scripting: Basic Python (Pandas, NumPy) for automating repetitive data-cleaning tasks.
• Fintech Domain Knowledge: Prior exposure to fraud detection patterns, collection metrics, or alternative credit scoring methods.
• Agile Tooling: Experience with dbt, Git workflow, or handling event-driven streaming data (e.g., Mixpanel, Amplitude).

Our client is 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 client's proprietary tools.

Job Description

- 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 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 time-bound and effective manner
- Ability to analyze data by doing secondary research
 

🏢 About The Company
Physician's Choice started with the simple idea that better health starts with the gut. In just 8 years, we have become the #1 Probiotic Brand in the US. Our products are available in Walmart, Target, CVS, Sam's Club, Amazon, TikTok Shop, and many other retailers across the United States.
Our mission is to empower everybody to make confident wellness choices, guided by physician expertise and validated by real results. Join our passionate team and help shape the future of one of America's fastest-growing wellness brands.

💼 About The Role
Physician's Choice is looking for a passionate, analytical, and results-driven Retail Planning Manager to join us on our mission of becoming the #1 Gut Health Brand in the US.
As our Retail Planning Manager, you will own inventory planning and retail demand execution across our rapidly expanding omnichannel business. You will ensure the right inventory is available at the right place, at the right time, while balancing customer service, inventory investment, production capacity, and business priorities.

This role partners closely with Sales, Amazon, Supply Planning, Logistics, Operations, Finance, and our contract manufacturing partners. You'll translate customer demand into executable inventory plans supporting both retail partners and ecommerce channels.

Requirements
🎓 Bachelor's degree in Supply Chain, Business, Operations, Economics, Finance, Engineering, or a related field.
📈 5+ years of experience in Retail Planning, Demand Planning, Inventory Planning, Supply Planning, or within the CPG industry.
🛒 Experience supporting large national retailers such as Walmart, Target, Sam's Club, Costco, CVS, Walgreens, Kroger, or similar accounts.
📦 Strong understanding of retail replenishment, demand forecasting, inventory management, and S&OP (Sales & Operations Planning).
💼 Experience working in omnichannel businesses supporting both Retail and Ecommerce operations is preferred.
📊 Advanced Microsoft Excel skills, including data analysis and reporting.
⚙️ Experience with ERP systems, planning software, and BI tools is preferred.
🤝 Excellent analytical, communication, and cross-functional collaboration skills.
🌍 Ukrainian or Russian language skills are a plus, but not required.

What You'll Do
📦 Retail Demand & Inventory Planning
• Own inventory planning and forecasting across key retail partners (Walmart, Sam's Club, Target, CVS, HEB, Rite Aid, iHerb, Vitacost, etc.).
• Maintain healthy inventory levels while minimizing stockouts and excess inventory.
• Align production plans with customer demand and inventory needs.

🛒 Omnichannel Inventory Strategy
• Manage inventory allocation across Retail, Amazon, Walmart Marketplace, TikTok Shop, DTC, and Wholesale.
• Optimize inventory distribution to maximize sales and profitability.
• Recommend allocation strategies during supply constraints.

🎯 Retail Execution & Customer Readiness
• Ensure inventory readiness for launches, promotions, and seasonal programs.
• Monitor retailer service metrics, scorecards, and inventory performance.
• Identify supply risks and implement mitigation plans.

📊 Sales & Operations Planning (S&OP)
• Lead demand planning inputs for the monthly S&OP process.
• Present forecasts, risks, and recommendations to leadership.
• Drive alignment across Sales, Supply Chain, Operations, and Finance.

📈 Forecasting & Analytics
• Track key KPIs including forecast accuracy, inventory turns, service levels, and OTIF.
• Analyze sales trends, demand drivers, and forecast performance.
• Build reports, dashboards, and planning models to support decision-making.

🤝 Cross-Functional Collaboration
• Partner with Sales, Marketing, Finance, Operations, Logistics, and Supply Planning teams.
• Coordinate with manufacturers, warehouses, and logistics partners.
• Communicate inventory risks and recovery plans across stakeholders.

⚡ Continuous Improvement
• Enhance forecasting processes and planning methodologies.
• Develop SOPs, reporting tools, and dashboards.
• Support ERP and planning system improvements.

Benefits:
🌍 Work for an international company focused on the US market
⏰ Timely salary payments
💰 Bonuses
🎓 Courses and training at the company’s expense
🏖 Paid vacations, sick days, holidays off days
📈 Possibility of developing your career and mastering adjust professional fields
🧾 Official employment
🛒 Free access to company products
🧠 Corporate psychologist services
🚀 Interesting project and continuous growth every day


🚀 Ready to Make an Impact?
If you're a data-driven Retail Planning professional who thrives in a fast-paced consumer products environment and enjoys turning complex inventory challenges into scalable solutions, we'd love to hear from you.

Responsibilities

– Design, development, and delivery of BI solutions using Power BI and SQL
– Publishing and managing reports via the Power BI service
– Consult and train customers to build their own visualization in Power BI service
– Conducting workshops and presentations

Requirements

– Minimum of 2 years of experience in Power BI development and implementation
– Confident practical experience of working with Power BI (DAX, Power Query, RLS)

– Experience of developing Power BI reports full cycle (data import, modeling, creating measures, visualizations)
-Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart)
– Strong SQL-skills

– Strong understanding of data modeling, data warehousing concepts, and ETL processes.
– Excellent analytical and problem-solving skills, with the ability to identify data patterns, trends, and insights.

– Strong communication and interpersonal skills, with the ability to effectively collaborate with clients and team members at all levels.
– Experience in working with diverse industries and domains, understanding various business processes and challenges.

– English —at least upper intermediate level is a must (including presentation skills)
– Experience working in Agile development environment with tools such as Jira

Nice to Have:

– Experience in building ETL (Extract, Transform and Load) pipelines
– Knowledge of programming languages: Python
– Microsoft Power BI Data Analyst certified preferred

We offer

– Opportunities for professional growth and international certification
– Free of charge technical and business trainings and the best bootcamps
(worldwide, including HQ Microsoft- Redmond courses)
– Innovative data and analytics projects and practical experience with cutting-edge
Microsoft technologies
– Long-term employment ( not a temporary project)
– Individual development plan
– English speaking club — to develop your language level

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications and regulatory technologies. 

We are looking for a Data Analyst to join our team!

Requirements:

- At least 2 years of experience in product/ data analytics.

- Strong proficiency in SQL (including advanced queries and window functions).

- Hands-on experience with BI tools (e.g., Tableau, Power BI).

- Expertise in A/B testing: setup, monitoring experiments, and result analysis.

- Understanding of relational database architecture (ClickHouse, PostgreSQL, BigQuery, etc.).

- In-depth knowledge of statistics and hypothesis testing methods.

- Skills in hypothesis validation and data-driven analysis.

Responsibilities:

- A/B test post-analysis (including statistical review and deep dive);

- Researching for insights, opportunities and growth points aligned with department KPIs;

- Micro-segmentation, offer personalization;

- Customer behavior and product usage analytics (including product, website and mobile app data);

- KPI monitoring and alerting, finding 'why?';

- Developing and maintaining BI dashboards;

- Adhoc analytical requests (segmentation, data export, metric snapshots);

- Brainstorming and collaboration with different business streams;

- Automate recurring analysis tasks to reduce manual overhead.

What are the conditions and bonuses?

☘️An exciting and challenging job in a fast-growing product company, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and other;
🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;
📍Beautiful offices in Warsaw, Limassol, Kyiv, Almaty, Yerevan work remotely or on-site with comfort and enjoy the opportunity to build a network of connections with professionals day by day;
🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided;
🏖Paid vacations, sick leave, personal events days, days off;
👨🏻‍⚕️Corporate health insurance program for your well-being;
💵Referral program enjoy cooperation with your colleagues and get the bonus;
📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences;
🎯Rewards program for mentoring and coaching colleagues;
🗣Free internal English courses;
🧘Yoga classes to help you stay active and energized;
✈️In-house Travel Service;
🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, PIN-UP clubs for movie / book / pets lovers, special office days dedicated to holidays;
🎳Company events, team buildings.
 

Responsibilities

• Create and maintain reporting and analytical dashboards that provide key business insights
• Search for insights and patterns through data analysis
• Based on the analysis results, make conclusions for the business
• Build interactive dashboards

Requirements

• 4+ years of experience as a Data Analyst
• 4+ years of hands-on experience with SQL
• Experience with data visualization tools (Tableau, Power BI, Looker or similar)
• Strong logical and critical thinking skills
• Attention to detail and structured approach to work
• English Intermediate and higher
• Proactive mindset and genuine interest in your work

Will be a plus

• Experience with Python for data analysis and scripting
• Experience with R for statistical analysis
• Familiarity with n8n or similar workflow automation tools

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays according to current legislation
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

Welcome to Drawer.AI!
We invite you to join our mission to shake up the AEC (Architecture, Engineering, and Construction) industry by transforming estimation processes. Harnessing the power of AI, we are revolutionising construction with Generative Design and Reinforcement Learning.

About us:
Our US-based startup raised investments from leading industry ventures and is ready for the next Series A Round in 2025. And this is just the beginning.

What it’s like to work with Drawer.AI:
Everyone’s voice counts here. Our tech team is open, flexible, and all about getting the job done to make solutions work. We’re not just writing code. We are changing how construction happens with advanced AI.
Explore opportunities to join our team and be at the forefront of innovation.
It’s time to build better!

Role Overview:

At Drawer.AI, we're not just another IT company – we're on a mission to revolutionize the way the world sees Construction Industry with Generative Design and Reinforcement Learning.

We are looking for a skilled UAT Tester to join our stellar team. As a UAT Tester, you will validate AI functionality, analyze system performance, and test document processing workflows. Your key tasks include working with PDF documents, creating bug reports, and ensuring a seamless user experience.

Key Responsibilities:

- Test AI-powered features and validate system performance.

- Work with PDF documents and verify AI processing accuracy.

- Identify and report bugs using Jira.

- Collaborate with developers and product teams to improve functionality.

Requirements:

- Experience with Bluebeam.

- Basic knowledge of Microsoft Excel, Microsoft Word, and Jira.

- Familiarity with HubSpot.

- Basic understanding of electrical systems.

- Strong attention to detail and analytical thinking.

Join our stellar team at Drawer.AI, where excellence meets opportunity! Experience the exceptional; enjoy a competitive salary and career advancement and the outstanding work environment we take pride in. Elevate your professional journey with us – because we believe in creating success together. Build a better future with us!

The company is building a healthcare-focused adtech platform that enables precise targeting of healthcare professionals using large-scale data and AI.

We’re looking for a Senior Data Analyst to define how we measure data quality, evaluate AI/LLM-based scoring, and generate insights that support product, sales, and media buying teams. You’ll work with 70+ TB of data, design evaluation frameworks from scratch, and help optimize performance, cost, and data pipelines.

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.

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics, and banking.   
 

Job Description: 

Fozzy Group is building a next-generation Customer Value Management (CVM) Decision Support System that  lives inside our app's gamified experience layer. Instead of traditional CRM triggers alone, engagement and retention are driven through game mechanics – achievement chains, progress bars, and personalized quests – and we need someone who can turn those mechanics into measurable, data-driven strategy. The project focuses on two major streams: 

• Engagement Growth: Driving gamification adoption, modeling guest lifecycle, and applying proactive strategies to increase purchase frequency and deepen engagement. 

• Retention & Loyalty Management: Early churn detection, loyalty preservation, and predictive modeling of customer attrition to implement timely and personalized interventions that reduce churn risk. 

You'll work closely with product, game-mechanic designers, CVM, and the wider Data Science team, and your models will directly shape decisions about quest design, reward economics, and lifecycle communication. 

Job Responsibilities 

• Model customer lifecycle stages inside the gamified platform – from first touch through onboarding to habitual engagement – and identifying where drop-off happens

• Design and A/B test game mechanics meant to convert guests into active app users (first-order quests, achievement chains, milestone rewards) 

• Automate customer targeting and personalized offer selection across CVM campaigns 

• Build next-best-quest / next-best-action logic to personalize each customer's path through the game 

• Design predictive triggers for retention interventions and measure whether they're actually incremental or just rewarding people who'd have stayed anyway 

• Build and maintain SQL pipelines to aggregate, clean, and transform customer and transactional data from multiple sources 

• Extensively utilize SQL and dbt to design, develop, and optimize data models within our high-volume data platform, effectively managing and processing multi-billion-row datasets 

• Develop data preparation pipelines and contribute to deploying ML models for churn prediction, segmentation, and uplift modeling. 
 

Requirements 

• Bachelor’s Degree in Mathematics / Quantitative Economics / Econometrics / Statistics / Computer Sciences / Finance 

• At least 2 years of working experience on Data Analytics 

• Strong mathematical background in Linear algebra, Probability, Statistics & Optimization Techniques 

• Solid SQL and Python 

• Experience with BI tools (Power BI, Tableau, Looker) 

• Knowledge of statistical methods (Hypothesis testing, A/B tests, PCA) 

• Ability to work independently and structure complex problems into clear solutions. 
 

Preferred 

• Experience with Airflow, Docker, or Kubernetes for Data Orchestration 

• Spark/Trino and Lakehouse experience is a plus 

• Applied knowledge of Machine Learning (e.g., Decision Trees, Random Forest, and Boosting). 
 

What We Offer 

• Competitive salary; 

• Professional & personal development opportunities; 

• Being part of dynamic team of young & ambitious professionals; 

• Corporate discounts for sport clubs and language courses; 

• Medical insurance package.

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

This is not a classic BI/dashboard role. You will work on large-scale identity resolution, AI scoring systems, data quality, and product decision-making.

We process 70+ TB of data and run 20M+ enrichment operations daily across multiple data sources.

You will work directly with Product and Engineering and own analytics for one of the core business domains.
 

🟢 What You’ll Do

• Build frameworks to measure data quality, match rates, AI scoring accuracy, ROI
• Analyze and improve LLM-based scoring systems together with engineers
• Compare external data providers and identify highest-value sources
• Investigate mismatched / conflicting data across systems
• Support internal teams with audience, campaign, and performance analysis
• Detect pipeline or provider quality issues early and drive fixes
• Turn ambiguous business questions into clear decisions
   

🟢 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. Can read and write complex queries on tens of terabytes without someone pre-modelling the data.
• Python for analysis at a working level — pandas, Jupyter, or equivalent. Can write a small script or helper when an existing tool doesn't cover the case.
• Built measurement or evaluation frameworks from scratch for systems with no baseline — candidate defined what to measure and how, not consumed someone else's KPI.
• Comfort with probabilistic systems — understands noise, ranking, scoring, and that 100% accuracy is not a goal.
• AI-native workflow — uses Claude Code, ChatGPT, Copilot, or similar AI tools daily in their process.
• English: B2+ (Upper-Intermediate) or higher.
   

🟢 Strong Plus

• LLM evaluation / prompt testing
• Identity graph / AdTech / MarTech experience
• Healthcare / pharma data experience
• A/B testing / experimentation
   

🟢 We Offer

• Fully remote
• Flexible hours (CET ±2 overlap)
• High ownership / direct impact
• AI-native environment
• Fast decisions, low bureaucracy

About the Role

Our client is a global fintech company and one of the world's leading platforms for financial analytics and investment insights. They are looking for a Senior Data Analyst to help drive product decisions through data and uncover actionable insights from user behavior across web and mobile platforms.

Responsibilities

• Analyze user behavior and product performance using raw data.
• Define, track, and optimize key product KPIs.
• Build dashboards and perform deep-dive analyses to support business decisions.
• Design, monitor, and evaluate A/B tests.
• Analyze and improve key metrics, including Conversion, Retention, Churn, Engagement, and Revenue.
• Partner with Product, Engineering, and Business teams to deliver data-driven recommendations.

Requirements

• 5+ years of experience as a Data Analyst in a B2C product environment.
• Advanced SQL skills with experience writing complex analytical queries.
• Hands-on experience with BI tools such as Looker, Tableau, or Power BI.
• Strong understanding of product analytics, web/mobile user behavior, and A/B testing.
• Excellent analytical and problem-solving skills.
• Upper-Intermediate (B2+) or higher level of English.

RedCore is an international business group that creates technological solutions for digital markets. 

Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

Powering Growth from the Core — this is the key mission laid under RedCore’s strong foundation. This is how we consistently stay ahead: by evolving and creating scalable solutions, while remaining committed to open and transparent communication with our partners.

We’re looking for a sharp and driven Growth Data Analyst to join our team!

Requirements:

• 4+ years of experience in product/ data analytics.
• Strong proficiency in SQL (including advanced queries and window functions).
• Hands-on experience with BI tools (e.g., Tableau, Power BI).
• Expertise in A/B testing: setup, monitoring experiments, and result analysis.
• Understanding of relational database architecture (ClickHouse, PostgreSQL, BigQuery, etc.).
• In-depth knowledge of statistics and hypothesis testing methods.
• Skills in hypothesis validation and data-driven analysis.

Will be plus

• Experience with Data Science tools for automating A/B test analysis is a plus.
• Experience in iGaming or B2C related industry (preferably whale-driven).

Responsibilities:

• A/B test post-analysis (including statistical review and deep dive);
• Researching for insights, opportunities and growth points aligned with department KPIs;
• Micro-segmentation, offer personalization;
• Customer behavior and product usage analytics (including product, website and mobile app data);
• KPI monitoring and alerting, finding 'why?';
• Developing and maintaining BI dashboards;
• Adhoc analytical requests (segmentation, data export, metric snapshots);
• Brainstorming and collaboration with different business streams;
• Automate recurring analysis tasks to reduce manual overhead.

Our benefits to you:
- Modern corporate equipment based on macOS or Windows and additional equipment are provided
- Paid vacations, sick leave, personal events days, days off
- Referral program — enjoy cooperation with your colleagues and get the bonus
- Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
- Rewards program for mentoring and coaching colleagues
- Free internal English courses
- In-house Travel Service
- Multiple internal activities
- Other benefits could be added based on your location