Jobs Data Analyst

Product company in iGaming domain is looking for an Analytics Lead who will own the analytics function end-to-end and combine strategic leadership with hands-on analytical work.

Responsibilities

• Lead and develop the Analytics team (hiring, mentoring, performance)
• Own analytics direction: priorities, roadmap, planning together with Product and Project teams
• Drive data discovery, experimentation and A/B testing
• Design, run and analyze experiments
• Ensure high standards of data quality, correctness and code quality
• Contribute hands-on to complex analytics tasks
• Improve analytics tools and processes, build scalable solutions
• Collaborate with Product Managers, ML Engineers and Data Engineers across the product lifecycle

Requirements

• 5+ years of experience in data/product analytics or applied data science
• 1+ year of experience leading a team
• Strong hands-on experience in iGaming domain
• Strong SQL skills and experience with large datasets
• Solid knowledge of statistics, hypothesis testing and experimental design
• Hands-on experience with A/B testing
• Strong Python skills (pandas, numpy, scipy)
• Experience with BI tools (Tableau or аналог)
• Strong analytical thinking and data discovery skills
• Ability to explain complex insights to non-technical stakeholders

Nice to have

• Experience with ML models (clustering, prediction)
• Experience with libraries: scikit-learn, XGBoost, LightGBM, PyTorch
• Understanding of model evaluation and validation
• Experience translating ML insights into business decisions

We offer

• 21 days of paid vacation
• $600 education budget per year
• Medical insurance
• English courses
• Remote work

We are looking to hire a strong BI developer and data analyst.

The role involves both data analytic and technical skills : gathering data, developing tools and dashboards,  evaluating data and sharing findings that affect business decisions.

Responsibilities:

• Working with different company departments and setting business requirements for BI tools
• Translating business requirements into technical ones
• Suggesting technical options to meet the requirements and creating an BI architecture. Providing time estimation
• Leading and executing BI software development, deployment, and maintenance:
  • Creating Power BI reports based on client requirements
  • Taking data from different data sources : databases, internal and external API, google sheets and more
  • Developing different visualization levels and dashboards
  • Maintaining and optimizing existing reports
  • Ensuring data correctness
  • Testing reports of other BI developers
• Creating technical documentation for BI tools
• Evaluating data, collating findings relevant to the business, and sharing them in a manner that can bring about an effective change in a business:
  • Breaking down key business data: gather, clean, and analyze data
  • Interpreting the data: Find patterns or see areas in the data that signal a potential for improvement in business practices

  • Sharing findings:visualizing data in graphs and charts, recommendations to improve or grow the business based on their findings

     

Required Skills/Abilities:

• At least 2 year experience in a BI developer & data Analyst role
• Experience with PowerBI including a good knowledge of DAX
• Deep knowledge of SQL Databases and SQL script optimisation
• Good knowledge of BigQuery
• Good knowledge of excel / Google sheet (formulas)
• Basic knowledge of Python
• Non relational database - advantage
• Advanced analysis and problem solving skills
• Attention to detail
• The ability to work both as a team player and independently
• Ability to multitask in a fast-paced environment
• Self learning abilities
• Excellent communication skills with ability to effectively interface with technical and nontechnical staff at all organizational levels
• Fluent in English

Наш клієнт — це міжнародна онлайн-геймінгова компанія, яка зосереджена на створенні захоплюючого та інноваційного ігрового досвіду, використовуючи сучасні технології для надання високоякісних продуктів і сервісів для глобальної аудиторії.

Ідеально для тих, хто прагне:

• Володіти та аналізувати ключові метрики для вимірювання різних аспектів бізнесу;
• Підтримувати та розвивати зручні звіти (Tableau, Google Sheets) для відстеження метрик і візуалізації інсайтів;
• Виявляти можливості та проблеми через аналіз даних, генерувати інсайти та трансформувати їх у чіткі, практичні рекомендації;
• Працювати самостійно, співпрацюючи з командами Marketing, CRM та Product;
• Пропонувати та перевіряти ідеї для покращення маркетингової ефективності та загальної ефективності бізнесу;
• Відповідати за автоматизовану звітність для забезпечення своєчасної, точної та стабільної доставки даних;
• Забезпечувати якість і узгодженість даних між джерелами, проактивно виявляючи та усуваючи розбіжності;
• Підтримувати аналіз і тестування на основі гіпотез (A/B тести) для валідації бізнес- та продуктових рішень.

Досвід, який стане твоєю перевагою:

• 3+ роки в аналітичних ролях (Business / Product / Data Analyst), бажано у data-driven, B2C середовищах;
• Глибоке розуміння продуктових, маркетингових і CRM метрик;
• Просунутий досвід роботи з SQL, Python (або іншою мовою програмування) та BI-інструментами (Tableau або аналогами) для повного циклу аналізу даних — від отримання даних і аналізу до побудови дашбордів та генерації інсайтів;
• Сильна статистична та математична база, застосована до реальних бізнес-задач;
• Досвід роботи з крос-функціональними стейкхолдерами;
• Вміння структурувати неоднозначні задачі та трансформувати їх у чіткі, практичні кроки;
• Англійська на рівні Upper-Intermediate (усна та письмова).

Ми цінуємо:

• Сильне аналітичне та структурне мислення;
• Вміння пріоритезувати та фокусуватись на задачах з найбільшим впливом;
• Інтуїція щодо даних і увага до аномалій;
• Вміння пояснювати складні концепції просто та практично.

Долучайся — і нехай твоя історія зростання розпочнеться.

English version

Our client is an international online gaming company focused on delivering engaging and innovative gaming experiences, leveraging modern technologies to provide high-quality products and services for a global audience.

Perfect for those who aim to:

• Own and analyse core metrics to measure different aspects of the business;
• Maintain and develop user-friendly reports (Tableau, Google Sheets) to track metrics and visualise insights;
• Identify opportunities and issues through data analysis, generate insights, and translate them into clear, actionable recommendations;
• Work independently while collaborating with Marketing, CRM, and Product teams;
• Propose and validate ideas to improve marketing performance and overall business efficiency;
• Own automated reporting to ensure timely, accurate, and consistent data delivery;
• Ensure data quality and consistency across sources, proactively identifying and resolving discrepancies;
• Support hypothesis-driven analysis and testing (A/B tests) to validate business and product decisions.

Experience you’ll need to bring:

• 3+ years in analytical roles (Business / Product / Data Analyst), preferably in data-driven, B2C environments;
• Strong understanding of product, marketing, and CRM metrics;
• Advanced experience with SQL, Python (or another programming language), and BI tools (Tableau or similar) for end-to-end data analysis, from data extraction and analysis to dashboarding and insight generation;
• Solid statistical and mathematical foundation, applied to real business problems;
• Experience working with cross-functional stakeholders;
• Ability to structure ambiguous problems and translate them into clear, actionable steps;
• Upper Intermediate English (spoken and written).

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

• Strong analytical and structured thinking;
• Ability to prioritise and focus on high-impact tasks;
• Data intuition and attention to anomalies;
• Ability to explain complex concepts in a simple, actionable way.

Apply, and let your growth journey begin.

Project start: As soon as possible / by mutual agreement
Duration: 6+ months (extension possible)
Workload: 100%
Location: Primarily remote, with 9 onsite days per year in Frankfurt am Main for planning sessions

Responsibilities
 

Data Analysis & Feature Engineering
- Perform complex ad-hoc data analyses to identify relevant factors influencing forecasting models
- Prepare, explore, and transform large datasets using Python (e.g., pandas, polars) and SQL
- Develop robust features to improve model accuracy and quality
 

Forecasting & Machine Learning Model Development
- Design, implement, and train statistical, machine learning, and time-series models
- Work with methods such as regression models and neural networks
- Select appropriate modeling approaches based on business requirements, data structure, interpretability, and scalability
 

Model Validation & Quality Measurement
- Define, calculate, and interpret key model evaluation metrics
- Conduct cross-validation, backtesting, and stability analyses to ensure reliable and generalizable forecasts
 

Model Comparison & Performance Monitoring
- Compare different modeling approaches using standardized evaluation frameworks
- Monitor model performance over time, including data drift and model drift detection
- Analyze deviations between forecasts and actual outcomes
 

Operationalization & Integration
- Support integration of forecasting models into production data pipelines on AWS
- Collaborate with Data Engineers and BI Developers to deliver model outputs for reporting, planning, and decision-making
 

Data Quality & Model Robustness
- Ensure high data quality through plausibility checks, outlier detection, and missing-data handling strategies
- Assess model sensitivity to data changes and assumptions
 

Documentation & Communication
- Maintain clear documentation of model assumptions, training processes, and validation results
- Communicate forecast quality, uncertainties, and limitations to business stakeholders and management
 

Continuous Improvement
- Continuously enhance existing models based on new data, stakeholder feedback, and changing business requirements
- Stay updated on best practices and new methods in forecasting and model evaluation
 

Governance, Security & Compliance
- Implement IT security policies, regulatory requirements, and internal programming standards
- Ensure data privacy, security, and compliance in all data processing activities

Required Qualifications
Mandatory Requirements
- 5+ years of practical experience in designing, implementing, and validating forecasting, machine learning, and time-series models in production environments
- 5+ years of hands-on Python experience, especially with pandas or polars for data analysis, feature engineering, and model development
- 2+ years of SQL experience for data querying and preparation
- 3+ years of experience in model validation and quality measurement, including evaluation metrics, cross-validation, and stability analysis

Nice-to-Have Qualifications
- Experience with forecasting, machine learning, or time-series models based on graph databases (minimum 2 projects)
- Experience integrating forecasting models into production AWS data pipelines (minimum 1 project)
- Experience analyzing and processing data from railway control and signaling systems (minimum 1 project)

🚀Join a team where data drives impact

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

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

🎯About the Role

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

🔑Responsibilities

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

🧩Requirements

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

🌍 What We Offer:

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

• Working conditions: Contract model: B2B or FOP
• 18 paid vacation days per year/ 12 paid sick leave days.
• Performance review every 6 months
• Paid professional development — courses, certifications.
• English lessons — 50% compensated.
• Comfortable equipment: MacBook + corporate package.
• Flexible schedule and a supportive, friendly team.
   

Join us at Uvik and help turn data into smart decisions.

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

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

HOW YOU WILL MAKE AN IMPACT

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

WHAT WILL HELP YOU SUCCEED IN THE ROLE

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

Nice to Have

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

WHY YOU’LL LOVE IT HERE:

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

Rock&Apps is looking for an experienced Data Analyst 🚀 

Our products continue to scale, marketing channels are growing, and the amount of data we work with increases every month. We already have a solid data infrastructure in place, and now we’re looking for an analyst who can help turn data into actionable business decisions. You’ll work closely with marketing, product, finance, and engineering teams — helping us better understand acquisition performance, subscription economics, retention, and growth opportunities across multiple apps and traffic sources. 

Location: Warsaw 

Job Type: Full-time 

Seniority: Middle

What you’ll do

- Ad-hoc analytics for marketing, finance, and product teams 

- Analyze the full funnel: click → install → trial → subscription 

- Work with metrics such as ROAS, CAC, retention, LTV, payback, and unit economics 

- Build and maintain analytical data marts in dbt (gold layer) 

- Develop and support dashboards and recurring reports in BI tools 

- Perform cohort and subscription analytics across apps, geos, affiliates, and acquisition channels 

- Investigate data discrepancies between internal data and external platforms (AppsFlyer, Stripe, Adapty, etc.) 

- Support product and marketing experiments, including A/B tests and funnel analysis 

- Translate business questions into analytical tasks and present insights to stakeholders 

- Contribute to the development of analytics standards, metrics, and data quality processes

What we’re looking for

- Strong SQL skills: window functions, CTEs, query optimization, execution plans 

- Hands-on experience with analytical DWHs such as BigQuery or ClickHouse 

- Practical experience with dbt: models, tests, incremental strategies, sources 

- Understanding of medallion architecture (bronze / silver / gold) 

- Strong knowledge of performance marketing analytics and subscription metrics 

- Experience with cohort analysis, retention curves, LTV, and payback calculations 

- Experience building dashboards in BI tools (Looker, Metabase, Tableau, Power BI, etc.) 

- Confident Git workflow usage (feature branches, PR reviews) 

- Ability to independently investigate problems and validate data quality 

- Strong communication skills and ability to explain insights clearly 

- 2+ years of experience in product or marketing analytics 

- English — reading documentation and technical materials comfortably

Extra points if you have

- Experience with Stripe, RevenueCat, Adapty, AppsFlyer, Adjust, Binom, Keitaro, or Voluum 

- Experience working with subscription-based products (mobile apps / SaaS / web subscriptions) 

- Knowledge of attribution models and traffic source reconciliation 

- BigQuery optimization experience (partitioning, clustering, cost optimization) 

- Experience with A/B testing design and statistical analysis 

- Understanding of subscription lifecycle analytics (renewals, refunds, recovery flows)

What we offer

- A fast-growing environment with minimal bureaucracy 

- Support for professional development 

- 15 paid vacation days 

- 15 paid sick days 

- 5 paid days off 

- Benefit bar

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

We are looking for a Marketing Data Analyst who will help us turn data into clear insights, optimize marketing performance, and support business decision-making.

This role is perfect for someone who enjoys working at the intersection of data, marketing, and product, and wants to have a real impact on growth.
 

Responsibilities:

Data & Analytics

• Extract, clean, and maintain marketing and business data
• Analyze large datasets to identify trends, patterns, and growth opportunities
• Build clear data visualizations and dashboards

Marketing Performance

• Analyze performance across paid channels (Google, Meta, Affiliate, etc.)
• Monitor budgets, KPIs, and campaign effectiveness
• Evaluate ROI, CAC, LTV and overall marketing efficiency

Reporting & Insights

• Prepare регулярні звіти по маркетингу та бізнес-метрикам
• Provide actionable insights and recommendations
• Support stakeholders with data-driven decisions

Automation & Optimization

• Automate reporting and data workflows
• Improve existing reporting systems and processes
• Reduce manual work through scripts and integrations

Cross-functional Collaboration

• Work closely with marketing, product, and business teams
• Translate business needs into analytical tasks
• Support decision-making with data insights

Additional Focus Areas

• Analyze partner network performance and identify growth opportunities
• Evaluate impact of product changes on key metrics

Monitor payment-related issues and data anomalies

Requirements:

• 3+ years of experience as a Marketing / Data Analyst
• Strong experience with performance marketing analytics (paid channels, affiliate, ROI)
• Advanced SQL (joins, CTEs, window functions)
• Experience with BI tools (Tableau, Power BI, Looker, etc.)
• Python for data analysis and automation (pandas, APIs)
• Experience working with:
  • ad platforms
  • CRM systems
  • web/app analytics (GA4, Amplitude, Mixpanel)
  • data warehouses (BigQuery, ClickHouse, Snowflake)
• Strong understanding of:
  • CAC, LTV, ROAS/ROMI
  • attribution models
  • unit economics
  • cohort analysis
• Experience with A/B testing and statistical analysis
• Strong analytical thinking and attention to detail
• English — Intermediate+
   

Benefits:

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

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

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

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

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

 Concretely, you will be:

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

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

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

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

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

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

Requirements:

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

Strong plus (one or more)

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

Nice to have:

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

Culture & Mindset

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

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

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.

We are looking for a detail-oriented and analytical Trainee Anti-Fraud Analyst to join our Risk
& Integrity team. In this role, you will be on the front lines of defending our platform against
bonus abuse, payment fraud, and suspicious gameplay.
Key Responsibilities
● Analyze customer activity, player behavior, payments, betting, and casino gameplay to
detect suspicious patterns, anomalies, and fraud risks.
● Investigate accounts, identify links between profiles, and make decisions on restrictions,
blocking, or escalation.
● Review AML forms, KYC documents, and related verification information to identify
inconsistencies, red flags, or potential abuse.
● Process and respond to fraud-related requests from internal teams such as Support,
Payments, and KYC, and monitor triggers, alerts, and other fraud signals.
● Maintain reporting, document case outcomes, participate in improving anti-fraud rules
and controls, and test products, flows, and processes for vulnerabilities that can be
exploited for fraud or abuse.
Requirements
● At least 1 year of experience in anti-fraud, risk, or a related analytical role in iGaming.
● Good understanding of casino operations and gaming processes, including bonus
mechanics, game types, betting logic, withdrawal verification, and player behavior.
● Ability to analyze large volumes of information, identify suspicious patterns, detect fraud
schemes, investigate linked accounts, and make independent risk-based decisions.
● Attention to detail, strong organizational skills, and the ability to manage repetitive tasks,
multiple cases, and deadlines while maintaining quality.
● Experience with anti-fraud rules and detection logic, as well as the ability to work with
Excel, Google Sheets, and Tableau reports for fraud analysis and decision-making.
● English level: A2+, strong written communication skills, and readiness to work in shifts
based on operational needs.
● Possession of your own reliable laptop/PC and a stable internet connection.
● Readiness to work in shifts, including night shifts and weekends, to ensure 24/7
operational coverage.
Benefits
● Competitive Compensation

● Flexibility: 100% remote work environment.
● Paid Time Off: 18 days of vacation plus 5 sick days per year.
● Career Growth: Real opportunities to progress within a professional, high-demand
support and analysis environment.

We’re looking for a Product Analyst to join the team working on Botan — an iOS product with fast growth ambitions 🚀
 

You’ll dive deep into product and marketing data, build dashboards, run A/B tests, and turn numbers into clear decisions that directly impact growth. This is a role where analytics is not “reporting”, but a core driver of product evolution.

You’ll work closely with product, marketing, and engineering to help the team move fast, validate ideas, and scale what works.

Why this role is important

We’re scaling a product where every improvement in retention, conversion, or monetization has a direct business impact ⚡
We need someone who can connect data → insights → decisions, and help the team confidently choose the right direction based on evidence, not intuition.
 

What you’ll do

• Design, launch, and analyze A/B tests
• Build and maintain product dashboards and regular reporting
• Analyze key product & marketing metrics (CR, ROI, LTV, Retention)
• Develop and improve product analytics infrastructure
• Explore user behavior and generate growth hypotheses
• Support decisions that improve engagement, retention, and monetization
• Collaborate with marketing on traffic quality, unit economics, and revenue impact
   

What we’re looking for

• 1+ year experience in Product Analytics or Data Analyst role
• Strong SQL skills
• Experience with Amplitude or similar product analytics tools
• Solid understanding of A/B testing, hypothesis evaluation, and statistical methods
• Experience with mobile app analytics (web is a plus)
• Ability to turn data into clear, actionable insights
• Understanding of product metrics and their business impact
• Experience working with marketing data (traffic, monetization, unit economics)
• Proactive mindset, autonomy, and adaptability in fast-changing environments
   

What makes this role exciting

• Real ownership over analytics in a growing iOS product 📱
• Direct impact on product decisions and growth strategy
• Fast feedback loop: insights → experiments → results
• Close collaboration with product & marketing teams
• Opportunity to grow into a senior / lead analytics role quickly

What we offer

Work format of your choice: fully remote from anywhere, with optional access to offices (Kyiv, Warsaw).

Conditions that let you focus on performance: competitive compensation aligned with your experience, plus all necessary equipment regardless of location.

Career growth through ownership: your impact is defined not by years, but by how fast you learn and deliver results.

Development: internal English-speaking clubs, speaking opportunities at events, and an annual budget covering up to 50% of learning activities, conferences, and meetups.

Wellbeing & flexibility: 40 days of paid time off and sick leave without strict limitations.

Additional benefits: yearly flexible budget for health insurance, therapy, sports, or dental care.

Support during wartime: stable working conditions, support for the Defense Forces, and participation in initiatives for Ukraine’s recovery.

Hiring process

• Intro call with recruiter
• Test task
• Interview with Hiring Manager
• Final interview

Interested?
Apply or reach out — happy to tell you more about the role and the product 🙂

We are looking for a business analyst. Their primary responsibility is to analyse and evaluate various aspects of a business to identify problems, opportunities, and solutions.

 Responsibility:

•  Manage Product Backlog: Formulating the list of backlog items and prioritising them as per the critical business objectives.
•  Provide effective communication to the stakeholders of the project: The BAis the central communicator between the development team and the stakeholders.
•  They need to be clear and concise communicators to ensure there is approval of the stakeholders for all major decisions and strategies.
•  Create and Maintain Change Requests Associated with the Product: Predominantly an Operational task. The BA will gather and prioritise operational changes and include them within the Product Backlog for future sprint iteration.
•  Define Acceptance Criteria for their Product: The BA must know what they want their product features to achieve.Having strongly defined acceptance criteria is vital to ensure
•  that the Product performs to the expected standard. A/C's should always be confirmed with Stakeholders and will be used as a baseline for QA to test against.
•  Gap Analysis: By comparing the current state of a business to the desired future state, The BA may identify gaps or areas for improvement. This helps in defining project objectives and goals.
•  Change Management: The BA will help manage and support the changes brought about by their or BRO recommendations. This can involve developing change management plans, conducting training sessions, and ensuring a smooth transition to new processes or systems.
•  Gather Functional and non Functional Requirements: The BA will ensure that all requirements are gathered and that they meet the Product Managers expectations.
•  Verify Requirements: Once the requirements, functional and non functional, have been gathered from the Stakeholder the BA will confirm and agree that the requirements are fit for purpose and use.

 Requirements:

•  2-3 years of experience BA
•  experience with web dev
•  Product development architecture
•  Scrum and Agile development methodologies
•  User experience principles
•  Product backlog management
•  Coding and designing (nice to have)

Analytical Skills
Ability to analyse various issues and find workable solutions as quickly as possible. Identify, collect and analyse information, use reason to solve complex problems and make decisions based on logical conclusions.

Decision Making
Use technical, analytical and communications skills to make crucial decisions regarding their products success and development. After identifying an issue you must be able to collect and collate all relevant information, find ways of dealing with it, decide on the best option and implement/evaluate the results.

Social Package

•  Official employment
• 18 days of vacation
•  Medical Insurance
• Equipment for work

PayDo, a leading Electronic Money Institution (EMI) authorised by the FCA in the UK, FINTRAC in Canada, and MFSA in Malta, operates in 140+ countries and over 25 industries. Offering multicurrency IBANs, merchant solutions, mass payment options, acquiring, open banking, PayDo provides premium and convenient payment services. With all features available through one platform and contract, PayDo is a preferred solution for modern online businesses.
As a Middle Anti-Fraud Specialist you will be responsible for detecting, investigating and preventing fraudulent activities across digital financial services. This role involves monitoring transactional data, analysing suspicious behaviour, and working cross-functionally with compliance, risk, and tech teams to enhance fraud detection and mitigation systems. You will contribute to ensuring the safety and integrity of the company’s financial ecosystem while maintaining a balance between customer experience and fraud risk.

Requirements

• 2 years of experience in fraud prevention or detection, preferably in fintech, EMI, or banking
• Understanding of transaction flow and 3D Secure (3DS) flow
• Experience and understanding of anti-fraud rule creation and optimisation
• Proficiency in working with fraud detection systems, case management tools, and transaction monitoring platforms
• Strong knowledge of financial fraud typologies including identity theft, account takeover, social engineering, phishing, and synthetic identities
• Familiarity with AML (Anti-Money Laundering) practices and regulatory frameworks
• Proficiency in working with fraud detection systems, case management tools, and transaction monitoring platforms
• Good analytical and critical thinking skills with the ability to assess patterns, data anomalies, and fraud indicators
• Strong communication skills for preparing reports and communicating with internal teams or external partners
• Experience with fraud detection platforms like SEON, Actimize, Sift, or similar
• Experience with SQL, Python, or data visualization tools (e.g., Power BI, Tableau) for fraud data analysis
• Knowledge of card fraud mechanisms (3DS, chargebacks, BIN attacks) and tools used in card transaction monitoring
• English level - B2

Responsibilities

• Monitor transactions and user behaviour for signs of fraud using internal tools and third-party systems
• Investigate suspicious cases thoroughly, gather evidence, and recommend appropriate actions such as blocking transactions, freezing accounts, or escalating to senior staff
• Maintain and update internal fraud rules, thresholds, and alert systems in collaboration with the Risk and IT teams
• Analyse fraud trends and propose process improvements or system enhancements to reduce future risk
• Support customer support teams in resolving fraud-related inquiries and disputes
• Prepare regular and ad-hoc reports on fraud incidents, and trends for internal stakeholders

Nice to have

• Experience working in an EMI or payment service provider regulated in the EU or UK
• Certification in fraud examination
• Ability to handle incident response and support in case of major fraud events or system breaches

We work in a result-driven culture. You will fit in if you:
 

• Own your work with no excuses.
• Take initiative and act before being told.
• Deliver results that make a real impact.
• Solve problems quickly with practical solutions.

What we offer:
 

• Annual Learning & Development Budget – invest in your growth with dedicated funds for courses, training, and certifications.
• Regular Performance Reviews Based on KPIs – for your professional growth.
• Transparent career growth based on exceptional performance.
• Innovation Financial Rewards – share your ideas through our PayDo Ideas Hub and earn extra bonuses.
• Public Holidays tailored to your country’s calendar.

• Flexible Payout Options – PE accounts or popular e-wallets.

   

Become part of a global team redefining FinTech. Your expertise, passion, and ideas will shape the future of payments with PayDo!

Project description

About the Project:
Centralized Reporting and Analytics team covers company-wide corporate reporting needs. Interacting with internal clients (Delivery management and Corporate functions management) we build automated solutions in reporting and data analysis covering different internal company processes and practices.
Our team: around 20 people distributed in different countries but in close virtual cooperation.
Technologies used: Tableau and PowerBI as the main reporting tools, MS SQL database for our main data sources.

Responsibilities

Tableau/PBI reports development and support:

Requirement clarification with the client

Preparation of data sources & setting up development task for the DWH team where needed

Draft version design & development and UAT with a customer

Setting up interactive elements in dashboards (actions, parameters-switchers, etc.)

Visibility permissions management (row-level security) inside a report

Technical documentation preparation

Release preparation and presenting for end-users

Controlling permissions on a site

project

workbook levels

Background tasks monitoring (extracts, subscriptions, etc.)

Reporting adoption & user's behavior monitoring (via in-built and custom tools)

Skills

Must have

2+ year of reporting experience with Tableau and/or PowerBI

Strong skills in SQL

Bachelor's Degree or higher education level

Strong data analysis skills

Good presentation and data visualization skills

Great attention to details, structured and analytical approach, critical and logical thinking

Nice to have

Practical experience with other BI tools as a plus

Languages

English: B2 Upper Intermediate