Jobs Data Analyst

🚀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!

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:

• 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.

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.

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).

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 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.

 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

We are looking for an ambitious and detail-oriented iGaming Research Analyst to analyze gaming products and bring structure to a large volume of data across our own games and competitors. This is an operational-analytical role with a clear path toward strategic responsibilities and product analytics.

What You Will Do:
1) Research Our Games

• Extract ~50 parameters per game: interface, mechanics, RTP, volatility, gameplay features, multipliers, paylines, bet ranges, and more;
• Analyze games through UI, descriptions, visuals, and gameplay logic;

• Maintain a unified database, ensuring consistent comparison standards across all products.

   

2) Competitor & Market Analysis

• Identify top-performing games across specific countries and regulated markets;
• Extract the same ~50 parameters from competitor titles;
• Compare competitors’ games with our portfolio;

• Determine which of our games align best with market leaders — supporting product certification decisions;

   

3) Data Analytics & Structuring

• Manage organized sheets, summary tables, clusters, and filters;
• Create comparison matrices and analytical tables;

• Prepare concise findings and recommendations.

   

4) Growth & Development
 As you gain experience, you will participate in:

• Product discussions and decision-making;
• Improving research and analytics methodology;
• Identifying new parameters for deeper analysis;

• Recommending the best games for different markets.

   

Requirements:
Must-Have:

• Strong Excel / Google Sheets skills (formulas, pivots, filters, VLOOKUP/HLOOKUP/IMPORTRANGE);
• Willingness to handle large volumes of operational research;
• Interest in gaming and motivation to grow in iGaming analytics;
• Basic English to understand game interfaces and terminology.

Nice-to-Have:

• Experience in iGaming (slots, crash, betting games);
• Understanding of mechanics: RTP, volatility, jackpots, bonuses, multipliers;
• Competitive analysis skills;
• Basic SQL (or readiness to learn);
• Experience with iGaming markets, providers, certifications.

Personal Qualities:
We need someone who:

• Meticulous, focused, yet energetic and proactive;
• Able to work independently without constant supervision;
• Improvement-oriented rather than task-following;
• Aspiring to grow into an Analyst, Product Specialist, or Market Research Lead;

• Passionate about games and curious about how they work under the hood.

   

We offer:

• Convenient work schedule (8/9/10/11 — 17/18/19/20);
• 21 working days of vacation;
• 10 working days of sick leave;
• Extra days off for birthday, wedding, etc and for public holidays;
• Payment for training;
• Financial and intangible gifts from the company;
• Free communication, the ability to influence processes and implement your ideas;
• Comfortable and easy management, no tyranny.

How We Hire:
We’re not here to make you jump through flaming hoops (unless that’s your hobby — in which case, we’ll cheer you on). Our goal is to see if we’re a good match for each other — and to make sure you enjoy the ride.
1. Pre-Screen Call — 30 min
A quick hello with one of our recruiters. We’ll talk about your background, your goals, and what you’re looking for. In return, we’ll tell you more about ABXplay, the role, the team, and answer any burning questions.
2. Hard Skills Interview — 45–60 min
You’ll meet your potential manager. We’ll dive into the real stuff — your future responsibilities, the challenges ahead, and the kind of work you’d actually be doing (no mystery here).
3. The Offer Stage

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.

Ever looked at a funnel and immediately knew where the money was leaking?
Not just “the CTR is low” - but why users drop off, where conversion breaks, and what needs to change to scale profitably?

Do you enjoy turning messy performance data into clear decisions for media buyers, marketers, and growth teams?
Where your analysis directly impacts revenue, scaling strategy, and acquisition performance - not just dashboards nobody opens?

If you think beyond spreadsheets and understand how traffic, funnels, and user behavior connect together - this role is for you.

About the Company

We are an international performance marketing company focused on scalable growth across multiple geographies and traffic sources.

Our team works with paid traffic, funnels, creatives, landing pages, and conversion systems - optimizing every stage of the customer journey through data-driven decision-making.

We don’t track metrics for reports.
We analyze data to improve revenue, efficiency, and scalability.

The Role

We’re looking for a Data Analyst for CRO (Conversion Rate Optimization) to support our media buying and growth teams.

Your main goal will be helping the team understand:

• which funnels perform best,
• where users drop off,
• what impacts conversion rates,
• and how to improve acquisition performance through data analysis.

This is not a “reporting-only” position.
We need someone who can interpret data, identify patterns, and turn insights into actionable recommendations.

What You’ll Do

Analyze Funnel Performance

• Monitor and analyze key funnel metrics including: CTR (Click-Through Rate), CR to Lead, CR to Sale, CPC / CPA, Abandonment Rate, Retention & engagement metrics, Funnel drop-off points
• Identify where performance improves — and where it breaks.

Support Media Buying Decisions

• Work closely with the media buying team to: identify top-performing funnels and campaigns, compare traffic quality across sources, analyze audience behavior, help optimize acquisition performance based on data.
• Provide clear insights that influence scaling decisions.

Build Insights & Recommendations

Translate raw data into actionable conclusions:

• Which landing pages convert better?
• Which creatives attract higher-quality traffic?
• Where do users abandon the funnel?
• Which GEOs or devices perform strongest?
• What changes improve overall conversion?

Work Cross-Functionally

• Collaborate with: media buyers, marketers, product teams, developers, and funnel specialists to improve user flow and conversion performance across the entire funnel.

What You Bring

• Experience in Data Analytics, CRO, Performance Marketing, or related fields
• Strong understanding of funnel analytics and conversion metrics
• Ability to analyze large datasets and identify actionable insights
• Experience working with performance marketing teams or media buyers
• Understanding of user behavior and acquisition funnels
• Strong analytical and problem-solving mindset
• Experience with tools like Google Analytics, Looker Studio, Tableau, Power BI, Excel/Sheets, or similar
• Good English communication skills for an international team

Nice to Have

• Experience in affiliate marketing, lead generation, iGaming, fintech, or performance marketing environments
• SQL knowledge
• Experience with A/B testing and experimentation

• Understanding of attribution models and tracking systems

   

What You Get

• Real Impact: Your analysis directly affects scaling decisions, campaign profitability, and business growth.
• Performance-Driven Environment: No unnecessary bureaucracy - just data, testing, optimization, and measurable results.
• Growth Opportunities: Work closely with experienced media buyers and performance teams while developing deeper expertise in CRO and analytics.

• International Team: Collaborate with specialists across multiple markets and traffic sources.

   

Ready to Turn Data Into Growth?

If you enjoy finding patterns, optimizing funnels, and helping teams scale based on real performance insights -

👉 Apply now and help us build funnels that actually convert.

ZentixSoft is looking for a Senior Data Visualization Specialist 🚀
 

At ZentixSoft, we follow the "People over processes" principle. We are currently expanding our BI direction for one of our enterprise partners and are looking for an expert who can transform complex datasets into high-level, executive dashboards.
 

Note: This is an Outstaffing role, where you will be integrated into a long-term project with an international client while enjoying all the benefits and support of the ZentixSoft culture.
 

The Role: Your main focus will be strengthening the frontend layer of the BI ecosystem. You will be responsible for reporting quality, dashboard usability, and advancing self-service analytics to support strategic decision-making.
 

Our Expectations:
 🔹 Expertise: Strong commercial experience with Pyramid Analytics is a must. 
🔹 Background: Proven track record in Data Visualization and Business Intelligence projects. 
🔹 Skills: Ability to design intuitive visual narratives and maintain high UI/UX standards within reporting environments. 
🔹 Communication: Strong stakeholder management skills and the ability to translate complex data into actionable business insights. 

🔹 Nice to have: Experience with Power BI, Tableau, or a broader understanding of enterprise BI architecture.
 

Why ZentixSoft? 
💸 Salary Review: Transparent growth and competitive compensation.
 ⚖️ Balance: No micromanagement and no overtimes — we respect your time. 
🎓 Education: Full coverage of English classes and access to workshops and internal training.
🦾 Trust: A culture of ownership where your expertise is valued.

 

Project Details: 
📍 Remote.
 ⏳ Full-time, long-term cooperation.
 🚀 Start: ASAP.
 

📩 Ready to turn data into insights? Send your CV, salary expectations, and a link to your portfolio/case studies.

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.

The future of Web3 starts with you: join us as a Data Team Lead!

Requirements

— 5+ years of experience as Data Analyst / Quant Analyst / Data Engineer / Risk Analyst, including 2+ years in a Lead/Senior role with direct management of a team of 3+
— Strong production-level Python (pandas, numpy, pyarrow, SQLAlchemy, asyncio)
— Expert SQL: window functions, query optimisation, hands-on with columnar databases (ClickHouse, Snowflake, BigQuery)
— Experience building and operating ETL/ELT pipelines (Airflow, dbt, Prefect) in both batch and real-time (Kafka, Flink, Redpanda)
— Hands-on with BI tools: Tableau, Grafana, Superset — building dashboards for trading and risk metrics
— Solid understanding of trading fundamentals: PnL attribution, margin requirements, VaR, risk models, funding rates, basis
— Experience with large volumes of market data (millions of rows, low-latency, tick data)
— Team-building experience: hiring, onboarding, mentoring, performance reviews, goal setting
— Prior experience in crypto / fintech / proprietary trading is mandatory
— English B2+ for communication with international teams and stakeholders

Responsibilities

— Lead the Data Analysts / Data Engineers team (3–5 people): hiring, onboarding, mentoring, growth, performance reviews
— Build and maintain analytics for PnL, risk, positions and execution metrics for Trading and Liquidity Desks
— Architect and evolve the data platform: from ingestion (exchange APIs, market data streams, on-chain) to visualization
— Develop and optimise ETL/ELT pipelines (batch and real-time)
— Build and evolve BI dashboards (Tableau, Grafana) tailored to traders, risk managers and operations
— Maintain alerting and monitoring for deviations in key metrics (PnL, exposure, latency, data freshness)
— Work with internal databases, exchange APIs, market data streams and on-chain sources
— Partner closely with risk, trading, engineering and operations teams — translating business requests into analytical tasks
— Establish team processes: data quality, code review, documentation, on-call
— Roadmap planning, prioritisation, and regular reporting to stakeholders and Liquidity Department leadership

Work conditions

Immerse yourself in Crypto & Web3:
— Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
— Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
— Gain unique experience and be part of global transformations.
Drive Innovations:
— Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
— Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions, and an inspiring environment to help you thrive.
— 22 business days of paid leave.
— Additional days off for national holidays.
— Health insurance.

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.

Litero AI is an AI startup founded by experienced serial entrepreneur with over 15 years of experience and funded by 5 leading VCs. Our small, dedicated team has a strong history of working together to create tools that help students research, write, and learn more effectively using cutting-edge AI technology.

As we continue to grow, we are looking for a Data Analyst who will help us deeply understand how users interact with the product, identify growth opportunities, and turn data into actionable product decisions.

This is a high-impact role where you'll work directly with the founder, and your analytics will directly influence product development and growth strategy.

Responsibilities:

• Analyze product and business data to identify user behavior patterns, growth opportunities, and product improvement areas
• Design and maintain event tracking and event maps to ensure high-quality product analytics
• Write and optimize advanced SQL queries to analyze large datasets
• Translate complex data into clear insights, dashboards, and recommendations for stakeholders
• Partner with product and marketing to support data-driven decision making

Requirements:

Critical: 

• 3+ years’ experience as Data Analyst or similar analytics role
• Advances SQL skills and experience working with large datasets
• Experience with data analysis and data quality assessment
• Experience working with BigQuery
• Experience designing event tracking / event maps for product analytics
• Confident written and spoken English (B2 level or higher).

Highly preferred: 

• Experience with dbt, including incremental modeling
• Experience with PostHog or similar product analytics tools
• Experience designing and analyzing A/B tests
• Experience with product, marketing, or growth analytics for subscription-based products

Will be a plus:

• Experience working with Stripe data sources
• Experience with Google Cloud
• Knowledge of Python
• Knowledge of R

What We offer:

• 32 paid vacation days per year
• Unlimited paid sick leaves
• Competitive compensation aligned with your experience and impact
• Fully remote work with the flexibility to work from wherever you feel most productive

• A supportive and talented team

   

What We Value

• Strong analytical curiosity and a desire to deeply understand user behavior
• Attention to detail and high standards for data quality
• A proactive mindset - identifying opportunities rather than waiting for requests
• Structured problem-solving and critical thinking
• Strong communication and data storytelling skills
• Ability to work independently while collaborating closely with cross-functional teams

Interview Stages:

Screening Interview with HR Specialist ➡️ Interview with CEO ➡️ Final Technical Interview ➡️Job Offer

Sounds like your next career move? Send us your CV - we’d love to meet you :) 

We are looking for an experienced Power BI Consultant to join us for a client project. This is a hands-on role for someone who can work independently, communicate confidently with stakeholders, and take ownership of analytics and reporting solutions.

What You’ll Do

• Design and deliver Power BI reports and dashboards end-to-end
• Translate business questions into KPIs, metrics, and analytical views
• Work with existing semantic models and contribute to their improvement and optimisation
• Develop and maintain DAX measures, including time intelligence scenarios
• Transform and prepare data using Power Query
• Create interactive reporting experiences using features such as Smart Narratives, Q&A, and Decomposition Tree
• Utilise Copilot for Power BI to support report development and improve data exploration
• Validate data, metrics, and insights with business stakeholders
• Ensure data accuracy, usability, security, and performance of reporting solutions
• Support users in understanding and adopting Power BI reports
• Improve and maintain existing analytics solutions
• Document metrics, assumptions, report logic, and data definitions
• Collaborate with teams working with CRM systems, operational platforms, and business applications
• Contribute to reporting scenarios related to operational and network operations concepts where relevant

What We’re Looking For

• 5+ years of professional experience working with Power BI
• Experience with Microsoft Fabric
• Strong hands-on experience with Power BI Desktop and Power BI Service
• Experience building modern dashboards and analytical solutions in Power BI
• Good understanding of semantic model authoring, data modeling concepts, and analytical best practices
• Confident use of DAX for measures and common analytical scenarios
• Practical experience with Power Query and data transformations
• Solid SQL skills for querying, troubleshooting, and validating data
• Understanding of Row-Level Security and basic data access concepts
• Familiarity with Copilot for Power BI and modern self-service analytics capabilities
• Ability to work independently on client-facing tasks
• Strong analytical thinking and attention to detail
• Excellent English communication skills, both written and spoken

Nice to Have

• Experience with Dynamics 365 or Dataverse
• Experience working with shared semantic models
• Understanding of data quality and reporting standards
• Experience designing self-service reporting experiences for business users