Jobs Data Analyst

Our client is a financial technology services provider dedicated to expanding global access to digital assets by building innovative solutions in the cryptocurrency ecosystem. Their products provide exchanges, liquidity solutions, and enterprise-grade integrations for clients worldwide. We are looking for a skilled Python/Data Analyst to help us translate complex financial and blockchain data into actionable insights and high-performance solutions.

In this role, you will be a core member of our engineering team, solving complex technical puzzles and building robust data models in a fast-paced environment.

What You'll Do

You will be a key builder in our data lifecycle, applying your technical expertise to optimize our core products. Your main responsibilities will include:

• Data Analysis & Modeling: Develop and maintain data pipelines and analytical models for our exchange and liquidity platforms using Python.
• Insight Generation: Translate complex financial concepts and large datasets into intuitive reports and actionable business insights.
• Collaboration: Work closely with product owners, backend engineers, and stakeholders to translate requirements into fully functional, enterprise-grade data solutions.
• Performance & Optimization: Optimize data queries and processing scripts for maximum performance and scalability, paying close attention to real-time crypto interfaces.
• Quality Standards: Write clean, testable, and efficient Python code, actively participating in code reviews and sprint planning.

Your AI & Automation Advantage

We believe AI is a powerful co-pilot for modern development. We’re looking for someone eager to use AI to supercharge their data analysis, automate repetitive tasks, and stay ahead of the curve.

Who You Are

You are a proactive, detail-oriented, and adaptable analyst who thrives in a fast-paced environment. You are:

• A Clear Communicator: You can effectively articulate complex technical decisions and data findings to both technical teammates and non-technical stakeholders.
• A Problem-Solver: You are self-motivated, resilient, and have strong critical thinking skills to tackle complex technical puzzles.
• A Tech Enthusiast: You have a curious mindset with a strong interest in (or passion for) blockchain, cryptocurrency, and financial technology.
• A Team Player: You value collaboration and feedback, contributing positively to the team's shared goals and engineering culture.

Qualifications

• English: Upper-Intermediate level or higher (both written and spoken).
• Experience: 3+ years of professional experience in data analysis or software development, with a strong focus on Python.
• Core Technical Skills:
  • Proficiency in Python and its data libraries (e.g., Pandas, NumPy).
  • Strong experience with SQL and managing complex databases.
  • Familiarity with RESTful APIs and real-time data communication (e.g., WebSockets).
  • Proficient with Git version control and collaborative workflows.
• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field (or equivalent practical experience).

We Offer

• Flexibility & Location: Offices in Ukraine and Poland (Wroclaw) with flexible working hours.
• Health & Wellness: Medical Insurance in Ukraine and Multisport program in Poland.
• Time Off: Paid vacation, sick leaves, and all official holidays.
• Professional Development: English classes up to three times a week, plus mentoring and educational programs.
• Support: Tax and accounting services for Ukrainian contractors.
• Equipment: The company provides all necessary high-end equipment.
• Culture: Regular corporate activities, including corporate parties, tech events, and an advanced bonus system.

We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

We are currently looking for a Data Analyst for Spinlab.

Location: Remote
Job Type: Full-Time
 

About our client:
Spinlab: We help slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. We collect and process data using advanced methods and technologies to provide our clients with clear, actionablerecommendations based on real metrics. SpinLab’s goal is not just to collect data but to help businesses use it for maximum efficiency and amplify their performance results.

 

Responsibilities:

• Analyze large volumes of game and player data to identify patterns, trends, and dynamics, and turn them into clear business conclusions.
• Translate findings into practical recommendations for product improvements, highlighting what works, what doesn’t, and what opportunities to explore
• Perform deep-dive investigations into performance anomalies or game features to explain what happened and why
• Collaborate with game designers, product managers, and developers to shape hypotheses and validate them through experimentation.
• Support development and testing of predictive models (e.g., player LTV, churn, bonus optimization).
• Communicate complex insights in a simple, compelling way to both technical and non-technical audiences.
• Help define metrics frameworks for new products or features, expanding high-level requirements with your analytical thinking and product insights.
• Build dashboards and reports to help stakeholders monitor key KPIs and make data-driven decisions.

Requirements:

• 3+ years of experience as a Data Analyst or Data Scientist, preferably in the gaming or tech industry.
• Strong analytical mindset and ability to find the story in the data: uncovering trends and explaining them in clear business terms.
• Strong experience in SQL (BigQuery, PostgreSQL, or similar), and comfort working with large datasets.
• Solid knowledge of data visualization tools (e.g., Tableau, Power BI, Looker, or similar).
• Practical experience with Python for data analysis and modeling.
• Familiarity with statistical testing, experimentation, and predictive modeling techniques.
• University degree in mathematics / computer science / technology / engineering
• English B2+

Will be a plus:

• Knowledge of the iGaming industry or understanding of slot game mechanics
• Ability to look at games from players’ point of view.
• Product mindset: the ability to go beyond numbers and propose actionable solutions that make an impact.

Benefits:

• Work on meaningful data products and shape them with your vision.
• 25 vacation days + 15 sick days + 1 birthday leave.
• Budget for English classes.
• Budget for health insurance.
• Annual education & development budget.
• Flexible, remote-friendly culture with a small, dedicated team.

What’s next?

If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.

We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

About the role

We are a fast-growing Payment Service Provider (PSP) working in the high-risk fintech segment.

Right now, we are building a new unified payment platform, consolidating several existing systems into one scalable solution.

We are looking for a Business Analyst who will play a key role at the intersection of business, product, and engineering — translating complex payment processes into clear and actionable specifications.

 What you will do

🔹 Requirements & Documentation

• Gather business requirements from stakeholders (product, risk, compliance, merchants)
• Write clear specifications, user stories, and acceptance criteria
• Model business processes (BPMN 2.0, AS-IS / TO-BE)
• Maintain documentation (Confluence / Notion)

🔹 Payment Processes

• Describe and optimize payment flows:
  • authorization
  • settlement
  • refunds
  • chargebacks
• Analyze transaction routing logic (smart routing, waterfall)
• Support integrations with PSPs and acquirers (REST API)
• Participate in platform consolidation and migration

🔹 Collaboration

• Work closely with Product, Engineering, and QA
• Participate in Agile ceremonies (grooming, planning, demos)
• Align with compliance and risk teams (PCI DSS, AML/KYC)

• Prepare materials for internal teams and merchants

   

 Requirements

🔹 Must-have

• 3+ years as Business Analyst / Systems Analyst
• Experience in fintech / payments / banking
• Strong understanding of payment lifecycle
  (authorization → capture → settlement → reconciliation)
• Experience working with REST APIs (Postman / Swagger)
• BPMN / UML knowledge
• Experience with Agile / Scrum
• Strong English communication skills

🔹 Nice to have

• Experience with PSP / acquiring / PayFac
• Knowledge of ISO 8583 / ISO 20022
• Experience with chargebacks / disputes / rolling reserves

• Experience in platform migration projects

   

What we offer

• Work on a real fintech product in the high-risk domain
• Participation in building a scalable payment platform
• Close collaboration with product and tech teams
• Flexible work format (remote / hybrid)
• Opportunity to influence product decisions
• Professional growth in fintech

About the role

We are looking for a Senior Data Engineer / Data Analyst to become a key link between data and product decisions. You will work with transactional data from a payment platform, build reliable analytics infrastructure, and turn raw data into business insights for C-level and the product team. This role combines deep technical data work (pipelines, DWH, modeling) with product analytics (approval rate,
fraud patterns, A/B tests). The ideal candidate is equally comfortable writing optimized SQL queries and explaining complex patterns to a non-technical audience.

This role combines:

• data engineering (DWH, pipelines, modeling)

• product analytics (metrics, A/B tests, fraud patterns)

   

What you will do

🔹 Data Engineering

• Build and maintain DWH for transactional data
• Develop ETL/ELT pipelines (dbt / Airflow / scripts)
• Design data models (fact/dimension tables)
• Ensure data quality, monitoring, and performance optimization

🔹 Product & Business Analytics

• Analyze key metrics:
  • Approval / Decline Rate
  • Chargebacks / Refunds
  • Fraud patterns
  • PSP performance
• Build dashboards (Metabase / Tableau / etc.)
• Run A/B tests and analyze product changes
• Deliver insights to product and leadership

🔹 Routing & Fraud Analytics

• Analyze routing efficiency
• Identify fraud patterns (velocity, geo, BIN)
• Propose improvements for routing logic

🔹 Collaboration

• Translate business needs into data solutions
• Communicate insights clearly to non-technical teams

• Proactively identify anomalies and opportunities

   

Requirements

🔹 Must-have

• Strong SQL (complex queries, optimization)
• Experience with PostgreSQL / ClickHouse / BigQuery
• Python for analytics (pandas, numpy)
• Experience with dbt / Airflow (or similar tools)
• Experience with BI tools (Metabase, Tableau, etc.)
• Understanding of A/B testing and statistics
• 3+ years in Data Analyst / Data Engineer role
• Experience with transactional / financial data

🔹 Nice to have

• Experience in fintech / PSP / acquiring
• Fraud analytics experience
• Kafka / streaming
• Understanding of PCI DSS / GDPR

What we offer

• Work with real transactional data from a payment platform — challenging and rewarding
• Direct influence on product decisions through data
• Modern stack: ClickHouse / BigQuery, dbt, Python, Airflow
• C-level access — your insights go directly to leadership
• Flexible work format: Remote / Hybrid
• Competitive compensation + salary review every 12 months
• Budget for education and conferences (Data Engineering, Payments)
• A team with deep fintech and high-risk vertical experience

About the Role

We are looking for a skilled Middle Data Analyst / Data Engineer to join our analytics team. In this role, you will be responsible for building and maintaining robust data infrastructure, developing analytical pipelines, and delivering actionable insights that directly shape our web marketing and product strategy.

Who You Are

• 3+ years of experience as a Data Analyst, Data Engineer, or similar role in a web marketing or product-analytics context;
• Strong, hands-on proficiency in SQL — comfortable writing complex queries across BigQuery, Redshift, and PostgreSQL;
• Practical experience building and maintaining ETL/ELT pipelines;
• Experience with Tableau for dashboard development and data visualization;
• Familiarity with cloud data warehouses (BigQuery and/or Redshift);
• Solid grasp of web marketing and product metrics: conversions, funnels, cohorts, retention, attribution;
• Experience with A/B testing methodologies and basic statistical analysis
• Python for data processing and automation;
• Strong communication skills — able to present data findings clearly to both technical and non-technical stakeholders.

Nice to Have

• Experience with GA4, GTM, or similar web analytics tools;
• Familiarity with dbt, Airflow, or other modern data orchestration tools;
• Background working in performance marketing or growth teams;
• Experience with data modeling best practices (star schema, data marts, etc.).

What You’ll Do

• Design, build, and maintain ETL/ELT pipelines across our data infrastructure (BigQuery, Redshift, PostgreSQL);
• Develop and own dashboards and reports in Tableau to track key marketing and product metrics;
• Analyze user behavior, conversion funnels, cohorts, and channel performance to surface growth opportunities;
• Write complex SQL queries for data extraction, transformation, and ad hoc analysis across multiple database environments;
• Collaborate with marketing and product teams to define KPIs and translate business questions into data solutions;
• Ensure data quality, consistency, and reliability across our BI ecosystem;
• Support A/B testing and experimentation frameworks — from setup through statistical analysis and reporting;
• Contribute to improving data documentation, governance practices, and internal tooling.

We offer:

You will be working with a professional and motivated team of enthusiasts in the environment that brings up the best in everyone. We have no bureaucracy, and we give our colleagues complete freedom to make decisions and achieve brilliant results.

Our company is built on the ability to find the best people and provide them with everything needed to stay focused on what’s important to make our users even healthier, sportier, happier and better! We create a business environment that brings up the best in everyone.

Competitive salary. Compensation that will help you focus on your projects and personal development.

Professional Growth. We offer a possibility to attend internal, external courses, seminars and access to a corporate library. You will be working with a team of professionals to get insights and discuss ideas.

Health&Fitness. We provide employees with 20 days of paid vacation, sick leaves and medical insurance.

Rest. We organize team buildings, parties and various team activities to boost our collaboration.

Office location: Stockholm, Sweden (Office/Remote options available)

Join Söderberg & Partners Heartpace AB, a Swedish product company, and become a key link between business needs and technical execution. We’re looking for a Technical Business Analyst with a solid software or systems background to help shape scalable digital solutions for the European market.

What we offer:

• Tech-driven environment: collaborate with experienced engineers and product teams on complex platforms.
• Modern stack exposure: work alongside teams using Laravel, React, AWS, Docker, GraphQL, and more.
• Professional development: we support certifications, tech/BA courses, and access to Udemy.

• Work-Life Balance: no overtime culture, and generous vacation policies.

   

What you'll do:

• Translate business and functional requirements into clear, actionable technical specifications.
• Work closely with developers and architects to analyze and model data flows, APIs, and system integrations.
• Write structured documentation: user stories, technical requirements, sequence diagrams, and data mappings.
• Participate in sprint planning, QA handovers, and product releases to ensure smooth execution.
• Support solution design and decision-making with deep understanding of platform architecture.

What we're looking for:

• Experience: 6+ years in a Business Analyst or Systems Analyst role, preferably in a SaaS or product company.
• Technical background: prior experience as a developer, QA, systems analyst, or engineer.
• Knowledge: understanding of APIs, databases, client-server architecture, HTTP, JSON, REST/GraphQL.
• Tools: proficiency in Jira, Notion, Swagger/Postman, and diagramming tools like Miro or Lucidchart.
• Process: experience working in Agile teams with SDLC knowledge.
• English Proficiency: Upper-Intermediate+ level required for team communication and documentation.
• Language Bonus:
  • Swedish: Swedish proficiency is a strong bonus - especially if you're a native speaker or at a good conversational/professional level.
  • Ukrainian/Russian: Knowledge of Ukrainian/Russian is a plus, as it may support smoother communication with part of the team.

Nice to have:

• Exposure to Laravel, React.js, or similar tech stacks.
• Experience writing technical documentation for engineers and QA teams.
• Understanding of CI/CD pipelines, cloud services (AWS), or containerized environments.

Why join us?

At Söderberg & Partners Heartpace AB, we care about quality just as much as innovation. You’ll join a professional team that values your input, offers autonomy in your work, and supports your growth. Make a real impact while enjoying a collaborative, flexible, and balanced work environment.

Ready to Join?

Apply now and take the next step in your career! Let’s shape the future of tech together.

We are looking for a highly skilled Data / Analytics Engineer to take ownership of our analytics layer across a modern DTC and subscription-based business.

This role sits at the intersection of data engineering, analytics, and business decision-making. You will be responsible for ensuring data accuracy, defining key metrics, and translating complex datasets into actionable insights used across product, marketing, and leadership.

Key Responsibilities

• Design, build, and maintain scalable data models across multiple sources (Shopify, Stripe, App Store, Amazon, etc.)
• Develop and optimize SQL queries (CTEs, window functions, multi-source joins, deduplication)
• Build and maintain dashboards (Grafana or similar) for real-time and operational monitoring
• Define and standardize key business metrics (LTV, cohorts, churn, ARPU, refill rates)
• Ensure data consistency across systems, including handling returns, fulfillment lag, and edge cases
• Work with ELT pipelines (e.g. Fivetran) and understand data ingestion and transformation flows
• Collaborate with product, marketing, and leadership teams to translate data into decisions
• Support investor/board-level reporting and be able to clearly explain and defend metric definitions

Requirements

• Strong SQL skills (advanced queries, performance optimization)
• Experience with data warehouses (Redshift, Snowflake, BigQuery, or similar)
• Experience building dashboards (Grafana, Tableau, Looker, or similar)
• Familiarity with Shopify, subscription models (Recharge), and eCommerce data structures
• Solid understanding of DTC metrics (LTV, retention, churn, cohort analysis)
• Experience working with ELT tools (Fivetran or similar)
• Strong analytical thinking and ability to work with imperfect data
• Ability to communicate insights clearly to both technical and non-technical stakeholders

Nice to Have

• Experience with subscription businesses or recurring revenue models
• Background in product analytics or growth analytics
• Experience with event tracking tools (Segment or similar)
• Experience with Python or data transformation frameworks (dbt, etc.)

What We’re Looking For

We are not just looking for someone who can build dashboards — we are looking for someone who can own the metric layer.

You should be comfortable answering questions like:

• How should LTV be defined for this business?
• What is the correct way to count a “customer”?
• How do returns and fulfillment delays affect revenue reporting?

This role requires both technical depth and strong business judgment.

Engagement

• Flexible: full-time or part-time
• Remote-friendly

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 Data Analyst to join our team!

Responsibilities:

• Extracting, cleaning, and analyzing data from various sources;
• Identify reporting needs, manage priorities and assess data readiness;
• Assisting in maintaining and improving data pipelines;
• Monitoring data accuracy and identifying anomalies;
• Documenting data processing logic and analytics workflows.

Requirements:

• 2+ years of experience with SQL;
• Understanding of data visualization principles, experience with Tableau or other BI tools;
• Familiarity with Excel/Google Sheets (pivot tables, basic formulas);
• Analytical thinking and ability to work with large datasets;
• Basic understanding of statistics and data analysis;
• Attention to detail and accuracy in data processing;
• Solid knowledge of main traffic types and their tracking;
• Strong communication and teamwork skills.

Will be plus

• Experience with Python (pandas, NumPy) for data analysis;
• Knowledge of ClickHouse or other analytical databases;
• Experience working with APIs and automation of data collection;
• Familiarity with Jira and Confluence for task management and documentation.

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

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 Product Analyst to join our team!

Requirements:

• 2+ years of experience with SQL;
• 1+ years of experience with BI tools;
• Familiarity with Excel/Google Sheets (pivot tables, basic formulas);
• Analytical thinking and ability to work with large datasets;
• Basic understanding of statistics and data analysis;
• Attention to detail and accuracy in data processing;
• Solid knowledge of main traffic types and their tracking;
• Strong communication and teamwork skills.

Will be plus

• Experience with Python (pandas, NumPy) for data analysis;
• Knowledge of ClickHouse or other analytical databases;
• Experience working with APIs and automation of data collection;
• Familiarity with Jira and Confluence for task management and documentation.

Responsibilities:

• Extracting, cleaning, and analyzing data from various sources;
• Identify reporting needs, manage priorities and assess data readiness;
• Assisting in maintaining and improving data pipelines;
• Monitoring data accuracy and identifying anomalies;
• Documenting data processing logic and analytics workflows.

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

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.

We are looking for a CRM / Retention Analyst to support our CRM and Retention teams with data-driven insights and identify growth opportunities for LTV and player retention through behavioral and communication performance analysis.
 

HOW YOU WILL MAKE AN IMPACT:
 

• Analyze key retention metrics: FTD → repeat deposits, churn rate, retention cohorts, LTV, ARPU/ARPPU, deposit frequency.
• Build and maintain analytical reports and dashboards for CRM campaigns, player segments, and promotions.
• Evaluate the effectiveness of CRM communications (Email, SMS, Push, In-App, Onsite) including open rate, CTR, and deposit conversion.
• Conduct cohort and behavioral analysis by GEO, acquisition source, player type, and deposit patterns.
• Support player segmentation (RFM, deposit segments, churn segments, VIP logic).
• Design and analyze A/B tests for CRM campaigns.
• Identify insights and opportunities to improve retention, player lifecycle, and revenue.
• Analyze player activity, sessions, games, and content performance to understand impact on retention.
• Provide data-driven insights and recommendations to CRM, Product, and VIP teams.
   

WHAT WILL HELP YOU SUCCEED IN THE ROLE:

• 2+ years of experience as a Data / Product / Business Analyst
• Strong SQL skills
• Experience with BI tools (Power BI, Tableau, Looker, Metabase, or similar)
• Understanding of key product analytics metrics (LTV, ARPU, ARPPU, churn, cohorts)
• Experience with retention and cohort analysis
• Ability to work with large datasets
• Ability to translate data into clear business insights
• Experience with A/B testing or CRM analytics is a plus
• Experience in iGaming / betting / gaming / fintech / subscription products is a plus
   

WHY YOU’LL LOVE IT HERE:

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

At A-Players, we are looking for a Marketing Data Analyst with experience in performance marketing analytics and web products. In this role, you will work with large-scale advertising data, develop and maintain attribution models, and evaluate the effectiveness of marketing channels to drive revenue growth.
 

We need a professional who is not only technically skilled, but also excels at data analysis, insight generation, and translating complex data into actionable recommendations that impact business decisions.

‍

Responsibilities:

• Marketing Attribution: Build and maintain attribution models, including working with MMP data.
• Channel Performance: Analyze the effectiveness of advertising channels (Facebook Ads, Google Ads, etc.).
• Billing Analytics: Analyze payment data, monetization funnels, and conversion rates across PSPs.
• A/B Testing: Design experiments, perform statistical analysis, and interpret results.
• Automation: Develop and maintain Airflow DAGs, write Python scripts for data analysis and processing.‍

• BigQuery: Write complex SQL queries, optimize performance, and conduct data exploration.

   

What we look for:

• 2+ years of experience as a Marketing Data Analyst / Growth Analyst / Performance Analyst.
• Experience working with attribution data.
• Experience analyzing advertising channels such as Facebook Ads and Google Ads.‍
• SQL (advanced): window functions, CTEs, complex joins, query optimization.‍
• BigQuery: experience working with large-scale datasets, understanding of partitioning and cost optimization.‍
• Python: scripting for data analysis, automation, and data processing.‍
• Marketing Attribution: understanding of attribution models, experience with MMPs (AppsFlyer or Adjust).‍

• A/B Testing: strong statistical thinking and ability to correctly interpret results.

   

Nice to have:

• Airflow: writing and maintaining DAGs.
• dbt: working with data models.
• Billing/PSP data: experience working with systems like Stripe, PayPal, Primer.‍

• MMM (Media Mix Modeling): basic understanding.

   

We offer:

• Exciting challenges and growth prospects together with an international company.
• High decision-making speed and diverse projects.
• Flexibility in approaches, no processes for the sake of processes.
• Effective and friendly communication at any level.
• Highly competitive compensation package that recognizes your expertise and experience, Performance Review practice to exchange feedback and discuss terms of cooperation.
• Flexible schedule, opportunity to work in a stylish and comfortable office or remotely.
• Respect for work-life balance (holidays, sick days - of course).
• Bright corporate events and gifts for employees.
• Additional medical insurance.
• Compensation for specialized training and conference attendance.
• Restaurant lunches at the company's expense for those working in the office, endless supplies of delicious food all year round.

Our Mission and Vision

At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we’re on a bold path: to become the #1 payments orchestration platform in the world.

We believe the future of payments is shaped by people who think big, take ownership, and bring curiosity and drive to everything they do. That’s exactly the kind of teammates we want on board.

About the Team and Role

As a Junior Operational Analytics Specialist, you’ll work on Chargebackhit — technology that protects online businesses from fraud and chargebacks. The product is mature but runs with the energy of a startup: things evolve fast and decisions are made quickly.

This role puts you at the heart of product operations — connecting services, monitoring performance, and working with data that protects merchants in real time. It’s an ideal opportunity to kick-start your analytics career in fintech.
 

What you’ll own

— connecting, testing, and monitoring the operation of chargeback prevention services
— working with the database
— active interaction with other teams: Analytics, Sales, and Account Management
— processing analytical requests from our clients
 

You’re a great fit if you have

— Bachelor’s or Master’s degree (completed or in progress) in analytics, programming, mathematics, or a related field
— Strong command of SQL and Excel
— Analytical thinking and problem-solving mindset
— Clear, structured communication skills
— English level Upper-Intermediate (B2) or higher
 

Why Solidgate?

— No internships here — we build careers. Get hands-on from day one and make a real impact.
— Your work = real outcomes. Shape how global companies move money.
— Grow like crazy. Learn from top fintech pros and level up faster than anywhere else.
— Flex your schedule. Balance studies and work with flexible hours that fit your life.
— Enjoy the ride. A wow office in Kyiv center, daily lunches, snacks, team buildings, and a learning budget to keep you growing.
 

💌 The Extras: 30+ days off, unlimited sick leave, free office meals, health coverage, and Apple gear to keep you productive. Courses, conferences, sports and wellness benefits — all designed for ideas, focus, and fun.

Tomorrow’s fintech needs your mindset. Come build it with us.

Our Mission and Vision

At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we’re on a bold path: to become the #1 payments orchestration platform in the world.

We believe the future of payments is shaped by people who think big, take ownership, and bring curiosity and drive to everything they do. That’s exactly the kind of teammates we want on board.

About the Role

As a Junior Operations Analyst, you’ll dive into Solidgate’s internal processes and help optimize them to ensure our clients get the best payment solution on the market.

This role gives you hands-on experience at the intersection of operations, analytics, and product — working side by side with our technical and business teams to make payments seamless for businesses worldwide.

What you’ll own

— Conducting technical onboarding of new clients into the Solidgate system
— Supporting processes related to Solidgate’s payment services
— Building new workflows and optimizing existing ones
— Handling analytical requests from clients
— Setting up payment routing
— Collaborating closely with product and technical teams inside the company
— Communicating with partner banks’ technical support teams
— Detecting and resolving anomalies in the payment process

You’re a great fit if you have 

— Bachelor’s in Applied Mathematics / Systems Analysis / Software Engineering / related field (completed or in progress)
— Excellent written and verbal communication skills
— English proficiency at Upper-Intermediate level or higher
— Knowledge of SQL and Python

Nice to have

— Practical experience with Postman
— Basic knowledge of Tableau or other data visualization tools

Why Solidgate?

— No internships here — we build careers. Get hands-on from day one and make a real impact.
— Your work = real outcomes. Shape how global companies move money.
— Grow like crazy. Learn from top fintech pros and level up faster than anywhere else.
— Flex your schedule. Balance studies and work with flexible hours that fit your life.
— Enjoy the ride. A wow office in Kyiv center, daily lunches, snacks, team buildings, and a learning budget to keep you growing.
 

💌 The Extras: 30+ days off, unlimited sick leave, free office meals, health coverage, and Apple gear to keep you productive. Courses, conferences, sports and wellness benefits — all designed for ideas, focus, and fun.

Tomorrow’s fintech needs your mindset. Come build it with us.

Our Mission and Vision 

At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we’re on a bold path: to become the #1 payments orchestration platform in the world.

We believe the future of payments is shaped by people who think big, take ownership, and bring curiosity and drive to everything they do. That’s exactly the kind of teammates we want on board.
 

About the Role 

We’re building the smartest, fastest and most resilient payments infra in fintech — and risk is a core part of how we win. As a Risk Operations Analyst at Solidgate, you’ll be the one keeping our engine clean, sharp and one step ahead. You’ll monitor how merchants behave, how money moves, and how risk evolves in real time — making sure we scale safely without slowing down growth.This role is hands-on and impact heavy. You’ll use data, logic and frameworks to keep portfolio exposure healthy, protect revenue, and help us make better, smarter risk decisions every day. It’s fast. It’s complex. And if you love owning the signal inside the noise — you’ll thrive here.

What you’ll do

— Analyse risk signals, detect anomalies, and trigger the right actions or escalations
— Monitor compliance with international payment scheme requirements
— Control merchant reserves to prevent negative balances and minimise financial exposure
— Manage merchant cap limits in line with the portfolio’s risk appetite
— Execute and continuously improve daily operational tasks within approved risk processes
 

You’re a great fit if you have 

— Bright mind with a background in econometrics, finance, management, international relations, mathematics, or computer science— or still studying in one of these fields.
— A strong work ethic, great communication skills, and the ability to learn quickly — you get things done and pick up new skills on the go.
— A strong sense of responsibility and attention to detail — precision matters in risk.
— English B2+ — confident communication across teams and partners.

Nice to have 
— Self-starter — you can own your projects and take full responsibility for your area.
— SQL & Tableau — extra points if you know your way around data.

Why Solidgate? 

Fintech innovation at scale. We’re not just a PSP — we’re building a full-cycle European acquiring bank with direct access to schemes, regulators, and infrastructure.
Real impact. Your work shapes how we detect, assess, and mitigate risks across thousands of live transactions every day.
Autonomy & growth. You’ll own your area end to end, drive key components, and grow into a lead role — building your own team along the way.
Tech that empowers. Redshift, Tableau, and our in-house Python-based monitoring and anti-fraud systems — built for performance and scale.
Collaborative environment. A smart, curious team tackling complex fintech challenges together — from risk modeling to real-time decision systems.

💌 The Extras: 30+ days off, unlimited sick leave, free office meals, health coverage, and Apple gear to keep you productive. Courses, conferences, sports and wellness benefits — all designed for ideas, focus, and fun.

Tomorrow’s fintech needs your mindset. Come build it with us.

🫂 Know top talent? We’re always on the lookout. Recommend someone for our role, and if they get hired, there’s a bonus waiting for you — simple as that.