Jobs Data Analyst

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.

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 strong analytics infrastructure is not just support — it’s a core driver of product quality, reliability, and business growth.

About the Role

Solidgate is a product-driven FinTech company operating in a highly dynamic and regulated environment. Our platform processes millions of transactions daily, where data accuracy, real-time monitoring, and system reliability directly impact revenue and customer trust.

As we grow, we are expanding our Platform Analytics function and are looking for a Platform Analytics Engineer to help strengthen our analytics and monitoring infrastructure.

Platform Analytics at Solidgate is responsible for the analytical foundation of the platform — systems that monitor data quality, system health, anomalies, and critical business metrics in real time. This function ensures platform stability, supports operational decision-making, and enables teams to scale reliably.

This role sits at the intersection of engineering and data science, with a strong focus on platform enablement.

The mission is to evolve and support analytics infrastructure, including automations, monitoring systems and AI solutions, while continuously improving shared projects, tools, and guidelines used across the analytics team.

This is a hands-on role with ownership over meaningful parts of platform-level analytics systems, with mentorship and shared responsibility across the team.

You will work with Python-based data automations and observability systems, including anomaly, metrics, and real-time monitoring, designed to detect data inconsistencies, trend deviations, and operational issues.

Explore our technology stack ➡️ here.

What You Will Own

Short-term responsibilities:

• Stabilizing and modernizing core monitoring services
• Expanding and improving monitoring systems
• Refactoring and restructuring automation projects for recurring tasks
• Automating data source preparation and processing pipelines
• Working closely with Amazon Redshift (DWH)

Long-term responsibilities:

• Implementing AI agents to process and classify monitoring notifications as PoCs and gradually in production
• Contributing to internal initiatives around AI-driven automation and scalable analytics systems
• Gradually taking ownership of complex platform-level analytics initiatives

You Are a Great Fit If You Have

• 2–3 years of overall experience, including at least 1.5 years of Python in production
• Strong Python fundamentals: PEP standards, versioning, basic OOP, functional programming
• Experience with Airflow
• Strong SQL skills, including window functions and query optimization
• Experience working with production systems and legacy codebases
• Responsibility, comfort operating production systems, prioritizing under ambiguity, and strong time-management skills
   

Nice to Have

• Experience with BI tools
• Familiarity with NoSQL databases
• Interest in AI-driven automation
• English level: Intermediate+
• Git-based workflows and code review culture
• Dependency management and packaging (pip/poetry)
• CI/CD basics (GitHub Actions / GitLab CI)
   

Why Join Solidgate?

Build systems that matter. Your work will directly affect platform stability, business decisions, and customer trust.

Real ownership. You’ll work with critical infrastructure, not dashboards for dashboards’ sake.

Modern stack & innovation. Real-time analytics, AI automation, and scalable data systems.

Growth without bureaucracy. Fast decisions, strong engineering culture, and room to experiment.

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.

About OneReach:

OneReach.ai builds conversational AI and automation tools that help organizations improve how they communicate and operate. Founded by Robb Wilson, author of Age of Invisible Machines, the company focuses on practical, human-centered automation for real business use cases.

Our no-code/low-code platform enables teams to design and manage AI-driven workflows, virtual assistants, and system integrations across channels. Customers use the platform to automate processes, personalize interactions, and connect existing enterprise tools - reducing manual work and improving efficiency at scale.
 

Position Overview:

We are seeking a detail-oriented Revenue and Billing Analyst to support billing accuracy, financial reporting, and product profitability. This role sits at the intersection of finance, operations, and data, ensuring that billing processes are accurate, scalable, and aligned with business objectives.

You will work closely with finance, product, and engineering teams to analyze operational metrics, improve billing systems, and maintain financial integrity across customers and vendors.
 

What You’ll Do:

• Prepare and submit timely, accurate management reports for finance, product usage, and key KPIs
• Review daily and weekly operational metrics to identify trends and support long-term financial performance
• Analyze vendor costs and allocate expenses per customer and product
• Identify non-reported billable items, such as taxes or carrier costs, and ensure proper allocation
• Review monthly subscriptions and verify vendor billing rates against contracts
• Conduct ad-hoc billing adjustments, including credits, liabilities, and contract updates
• Verify usage completeness and reconcile with reporting databases
• Perform monthly audits and weekly sampling checks to ensure billing accuracy
• Review billing rates and SKU pricing to ensure alignment with contracts or default rates
• Maintain billing system mappings for new services and SKUs
• Determine SKU rates based on cost and markup, and update default SKU lists
• Ensure invoice presentation is accurate and SKU-friendly
• Validate new environments and databases for correct reporting events and billing assembly
• Support semi-automated billing pipelines for event reconciliation
• Build financial, statistical, and analytical models to support decision-making
• Collaborate with cross-functional teams to resolve discrepancies and improve systems
• Assist pre-sales with usage modeling, billing estimates, and small-sample analyses
• Identify process inefficiencies and propose improvements to billing and finance workflows
• Contribute to continuous improvements in billing automation and financial processes
   

Requirements:

• 2+ years of experience in Big 4 audit or similar high-standard audit/finance environment
• Bachelor’s degree in Finance, Accounting, Economics, or related field 
• Strong analytical and problem-solving skills, with the ability to work with large datasets
• Solid understanding of accounting principles, cost allocation, and financial reporting
• Advanced Excel or Google Sheets skills (pivot tables, lookups, modeling)
• Strong attention to detail and commitment to data accuracy and integrity
• Ability to independently manage projects from start to finish
• Comfortable collaborating cross-functionally with finance, product, and technical teams
• Excellent organizational skills and ability to prioritize tasks in a fast-paced environment
• Strong communication skills to explain financial concepts to non-finance stakeholders
• Proactive mindset with a focus on continuous improvement
   

Nice to Have:

• Experience in IT, SaaS, or technology-driven environments
• Basic SQL knowledge or willingness to learn
• Familiarity with accounting systems like SAP or Microsoft Business Central
• Exposure to billing systems, revenue operations, or usage-based pricing models
   

Why Join OneReach.ai

• Shape the future of automation: Contribute to a world-class platform that’s redefining how organizations design, deploy, and scale automation.
• Work with global experts: Collaborate daily with a distributed team of innovators in conversational AI, automation, and user experience.
• Enjoy a flexible, hybrid work culture with opportunities for professional growth and development.

We are a team of professionals creating innovative solutions in photo and video editing, used daily by millions of people worldwide. Our flagship product, RetouchMe, has already been downloaded over 30 million times, and we are determined to keep growing. We strive to make our customers’ experience flawless — from usability to the quality of the final results.

We are looking for a Senior Product Analyst / BI Analyst to take ownership of product and operational analytics, with a strong focus on Tableau, event tracking taxonomy, A/B testing, and product performance insights.
 

This role sits at the intersection of product analytics, BI, and experimentation. You will help ensure that our teams make decisions based on reliable data, well-structured dashboards, and high-quality event tracking across web and mobile products.

What you will do

• Own and develop dashboards in Tableau for product, behavioral, and operational analytics
• Build and maintain reliable reporting layers and datasets for business decision-making
• Design, improve, and optimize event taxonomy
• Participate in testing websites and applications to validate the correctness of event tracking implementation
• Partner with product and other stakeholders to define metrics, reporting logic, and success criteria
• Support the design, launch, analysis, and automation of A/B tests
• Translate analytical findings into actionable recommendations for product and business teams
• Work with product, marketing, and unit-economy metrics
• Use LLMs, AI agents, and AI-powered workflows to improve analytical efficiency, automation, and insight generation

What we are looking for

Must-have

• Strong hands-on experience with Tableau as a core BI tool
• Strong SQL skills and confidence working with complex datasets
• Proven experience in building dashboards and reporting for product and operational analytics
• Experience designing, structuring, and optimizing event taxonomies
• Practical experience validating and testing event tracking implementation in websites and applications
• Solid knowledge of mathematical statistics
• Hands-on experience with A/B test design, launch, analysis, and interpretation
• Good understanding of unit economics, product metrics, and marketing metrics
• Practical experience using LLMs, AI agents, or AI tools to automate or improve analytical workflows
• Ability to communicate clearly with product and business stakeholders and turn data into decisions

Nice to have

• Experience with Python
• Experience working in digital product environments with strong focus on product growth, funnels, retention, and conversion

Working format

• Full remote
• Location is flexible
   

Hiring process

The hiring process may include:

• Introductory conversation
• Technical / analytical interview
• Case discussion focused on Tableau, event taxonomy, experimentation, and metrics
• Final stakeholder conversation

Equal opportunity

We value diverse perspectives and believe strong teams are built by people with different backgrounds and experiences. We encourage candidates to apply even if they do not meet every single preferred qualification.

Join Sigma Software and become part of a team where innovation meets impact. We are looking for a Middle Product Analyst to work remotely from Ukraine or Europe, contributing to cutting-edge AdTech solutions.

You will collaborate with skilled professionals in an agile environment, where your expertise will help shape products that drive measurable business results.

Customer

Our customer is an international technology company specializing in high‑load platforms for data processing and analytics. Their flagship product enables businesses to manage vast volumes of data, build predictive models, and extract actionable insights. Operating globally, they serve clients in the marketing and advertising domain, leveraging cutting-edge technologies, microservices architecture, and cloud‑based solutions to deliver scalable and innovative AdTech systems.

Project

The project focuses on enhancing a data-driven AdTech platform that processes large datasets to optimize marketing campaigns and audience targeting. It integrates advanced analytics, machine learning models, and BI frameworks to deliver measurable business impact. The team works in an agile environment, collaborating closely with Data Scientists, Product Managers, and stakeholders to ensure continuous improvement and innovation in product features.

Key Technologies: Python, Databricks, PySpark, Confluence, Matplotlib

Responsibilities

• Collaborate with Data Scientists to design and refine product features powered by analytics
• Analyze complex datasets to identify trends, anomalies, and opportunities for optimization
• Translate business needs into actionable analytical tasks and solutions
• Support feature launches through testing, feedback gathering, and performance monitoring
• Evaluate feature usage and assess their business impact
• Acquire domain expertise in AdTech to propose enhancements and new ideas
• Participate in data science initiatives, contributing to research and innovation efforts

Requirements

• 2–4 years of experience in solving business problems and delivering actionable insights
• Good knowledge of Python and SQL
• Proven track record in delivering analytics projects using EDA and data analysis tools
• Experience with large datasets and ensuring data integrity
• Proficiency in data visualization tools (Tableau, Power BI, or similar)
• Experience working within Agile frameworks and collaborating with cross-functional teams
• Excellent time management and prioritization skills
• Upper-Intermediate level of English or higher

• Bachelor’s or Master’s degree in engineering or MBA

   

WILL BE A PLUS:

• Experience with Databricks and PySpark
• Familiarity with AdTech domain
• Understanding of cloud-based solutions

Position name: Senior Business Analyst for Crypto Analytical Dashboard
Level: Senior

• 5+ years of experience as a Business Analyst in software development
• Experience with fintech / crypto / trading / analytical platforms
• Strong understanding of crypto domain: wallets, transactions, tokens, DeFi basics, trading flows
• Experience working with data-heavy products (dashboards, analytics, reporting systems)
• Solid knowledge of business analysis, requirements management, and Agile delivery
• Experience writing user stories, use cases, and functional specifications
• Ability to create clear SRS / BRD documentation
• Understanding of system architecture (web apps, APIs, data flows)
• Experience with UML, BPMN or similar modeling approaches
• Ability to structure complex data and business logic into clear requirements
• Experience running workshops and communicating with stakeholders

Big plus:

• Understanding of crypto metrics (TVL, volume, liquidity, PnL, transaction flows, wallet activity, etc.)
• Experience with real-time data / streaming systems

Soft skills:

• Strong communication skills
• Ability to align business and technical teams
• Comfortable working in fast-changing environments
• Ability to simplify complex concepts without overengineering
• Proactive and product-oriented mindset

Key responsibilities:

• Gather and document business and technical requirements
• Analyze product vision, users, and competitors
• Translate requirements into user stories, flows, and structured product logic
• Define scope of work and support delivery team with clear specs
• Maintain and update documentation (BRD/SRS) throughout the project
• Support development team during implementation and clarify requirements

Office/Remote: Remote
English: Advanced
Time zone: flexible but preferable European

About the Role

We are looking for a Senior Analyst to help grow the business through data. You will analyze key metrics, identify growth opportunities, and turn insights into real actions that impact revenue.
 

Responsibilities

• Analyze key metrics (GGR, NGR, LTV, ARPU, churn, ROI) and identify growth drivers
• Identify funnel issues (deposits, retention, churn) and suggest solutions
• Build dashboards and reports (Power BI / Tableau)
• Run A/B tests and validate hypotheses
• Conduct market benchmarking and compare performance with competitors
• Prepare clear insights and present them to stakeholders
• Focus on high-impact tasks and business results

Requirements

• 3+ years of experience in analytics (iGaming is a must)
• Strong SQL and/or Python skills
• Experience with BI tools (Power BI, Tableau)
• Good understanding of key metrics: LTV, retention, churn, conversion funnel, GGR/NGR
• Experience with A/B testing and data-driven decision making
• Ability to turn data into clear insights and recommendations

Soft Skills:

• Proactive and result-oriented
• Strong analytical thinking
• Good communication skills
• Ability to prioritize and focus on what matters

Tools: GA, Jira, Confluence, Power BI
English: B1

Probation Goals

• Audit current analytics and suggest improvements
• Set up dashboards and alerts for key metrics
• Analyze funnel and identify main bottlenecks
• Deliver at least one improvement with measurable impact (+5–10%)
• Build a simple weekly report with key metrics and recommendations

Working Conditions

• Remote work
• Flexible start of the working day

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 :)

We seek a detail-oriented and motivated Data Analystto join our dynamic team ✨ In this

role, you will work with data, uncover insights, and support business decisions with

meaningful analysis.
 

Requirements: 

• 1+ year of commercial experience as a Data Analyst;

• Experience building dashboards with visualization tools (Looker Studio and/or Power BI);

• Knowledge of SQL, including writing efficient and optimized queries to extract, manipulate,

and analyze data from relational databases;

• Attention to detail and data accuracy, ensuring high-quality analysis and reporting;

• Ability to work with cross-functional teams, understanding business needs and translating

them into data-driven solutions;

• Confident written and spoken English (B2 level or above).
 

Would be a plus: 

• Proficiency in Google Sheets, including advanced formulas;

• Basic experience with Amplitude or similar analytics tools;

• Basic programming skills;

• Proficiency in LLMs usage in daily tasks;

• Experience building data ETL/ELT pipelines using n8n, Make, or Zapier to integrate and

automate workflows across multiple data sources;

• Knowledge of Machine Learning (ML) concepts;

• Bachelor’s or Master’s degree in a technical field.
 

We offer: 

• Remote workplace or a comfortable office in the center of Kyiv;

• 18 working days of paid leave annually;

• Unlimited sick days;

• Salary review twice a year;

• Compensation for our English-speaking club — 100%;

• Compensation for coworking spaces — 100%;
• Compensation for gym memberships and professional courses — 80% (after the trial

period);

• Compensation for any English courses — 50% (after the trial period);

• Compensation for sessions with a psychologist — 50% (after the trial period);

• Medical insurance (after the trial period).
 

Interview Stages:

Screening Interview ➡️ Technical Interview ➡️ Job Offer
 

If you’re ready to take ownership of HR in a growing tech company and make a real impact — we’d love to hear from you! 

As a Senior Growth Analyst at Readdle, you'll own the numbers behind how Spark grows and proactively discover opportunities and validate the impact of initiatives. From the first ad impression to long-term renewals, you'll make sense of the data, design event structures, and ensure everything is measurable. You'll dig into funnels, uncover insights, and build dashboards that make growth performance crystal clear for product and marketing teams.

What will you do:

• Transform and analyze large datasets in BigQuery and Amplitude to discover product & growth opportunities, trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve reports that enable stakeholders to answer key questions with data and establish a clear source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design, sequence, and monitor A/B experiments and feature launches; validate results and ensure statistical rigor & consistent long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with discoveries from data and impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with measurement vendors to meaningfully track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience working on user acquisition, pricing, monetization, and/or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau/Looker/etc. for reporting and complex data visualization and product analytics tooling. Amplitude/Mixpanel/Heap/Hotjar/PostHog for event/property tracking and user journey tracking.
• Experience with marketing attribution platforms (Appsflyer/Adjust/Kochava/etc.); familiarity with Python/R for data analysis and automation. Experience with ML or time-series inference is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), marketing analytics (incl. attribution, MMM, incrementality testing, etc.), statistics, experimentation, and experience with segmentation and modeling churn or LTV. Demonstrable advanced analytics experience (causal inference, quasi-experiments, linear programming, econometrics, etc.) is highly advantageous for the role.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Solid business acumen. Comfortable working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.
   

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.

We are looking for a senior-level FP&A Analyst to take ownership of key financial processes, partner closely with business and operational teams and support the scaling of a fast-growing, data-driven technology platform serving global customers.

Key Responsibilities

• Ensure data accuracy through validation processes and financial controls
• Manage and analyze usage-based and revenue-sharing (revshare) models
• Review and approve commercial agreements from a financial perspective
• Perform financial forecasting, budgeting, and variance analysis
• Deliver ad hoc analyses to support key business decisions
• Partner with cross-functional stakeholders to align financial insights with company strategy

Requirements

• 5+ years of FP&A experience, preferably in a global SaaS company
• Advanced Excel skills, including Power Query (mandatory)
• Advanced SQL (mandatory)
• Strong analytical mindset with exceptional attention to detail
• Proven ability to communicate insights clearly and collaborate with stakeholders
• Excellent English (written and verbal)

About the client:

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. As a  Senior Data Engineer (with Data Analyst skills), you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

About the Role

As a Senior Data Engineer (with Data Analyst skills), your primary task will be to extract actionable insights from our data and advise the organization on them. To this end, you will perform analyses, convince stakeholders with your presentations, or make your results structurally visible via a dashboard. You will also liaise with product managers and marketing specialists to bring the opportunities you see in the data to fruition on our platforms, or to ensure that their ideas are correctly implemented. To ensure this, you will collaborate with the lead data and client’s data teams to implement tracking, contribute ideas on how the A/B test should be conducted, and analyze the effects of the adjustments. As part of your role, you’ll help transition the existing tech stack to the sophisticated data platform of the client.

Responsibilities:

• Migrating dashboards and underpinning analytics models from (Snowflake, dbt, Qlik) to (AWS, python) data platform
• Measuring the effectiveness of a new feature on the platform
• Analyzing and advising on the customer journey (of B2B and B2C customers)
• Analyzing the effectiveness of website personalization
• Maintaining the tag management system and Snowplow data models in DBT/SQL

Requirements: 

• You have 4+ years of relevant work experience as a Data Analytics Engineer..
• You are analytical, curious, and detail-oriented.
• You get energy from diverse work and solving complex data questions.
• You have extensive knowledge of SQL or other languages. Preferably experience with GTM, A/B testing, and dashboarding.
• Strong communication skills - you can explain insights and analytical solutions to technical and non-technical stakeholders.
• High motivation, proactiveness, and a genuine enthusiasm for data and product analytics.
• English level - at least Upper-Intermediate, both spoken and written  

The complete set of technologies the clients are currently using includes:

DBT, Snowflake SQL, Big data, AWS, AWS Quick Sight, Python, Docker, GA4, Salesforce, and Qlik. If you are excited to work with large amounts of data in a robust data stack, then this is the right place!

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

This is a senior business-facing role for someone who can look beyond dashboards and understand what the numbers mean for strategy, risk, and growth.
 

📋 Responsibilities

• Lead analytics across all core business streams;
• Turn data into decisions for product, payments, monetization, and operational performance;
• Identify where the business is losing revenue, where it is growing, and what actions are needed;
• Define executive reporting standards for the CEO and leadership team;
• Build a strong analytics team and scalable reporting environment;
• Partner with senior stakeholders across Product, Payments, Marketing, Finance, and Tech.
   

🎯 Requirements

• Proven leadership experience in iGaming analytics;
• Strong expertise in business and product analytics;
• Deep understanding of GGR / NGR / ARPU, conversion, retention, LTV, and payment metrics;
• Strong skills in SQL, Python, and BI tools;
• AI Proficiency — we expect you to actively use AI tools (to speed up research, automate routine tasks, and enhance analytical workflows;
• Ability to influence business decisions and communicate with C-level stakeholders;
• Strong prioritization skills and understanding of what requires executive attention.
   

💡 Key interview test

The candidate should be able to explain:

• What the CEO needs to see daily;
• What the CEO should review monthly;
• What issues require immediate escalation;
• What should be solved within the teams without involving the CEO.

Our Offer:

• Flexible work setup — work remotely or from the office, we focus on results, not location;
• Support for a comfortable work environment — we compensate coworking expenses and EcoFlow power stations to help our team stay productive during power outages in Ukraine;
• Unlimited vacation and sick leave, because we trust our people to manage their time responsibly;
• Relocation support for team members who want to move;
• Regular performance-based bonuses that reward individual and team impact;
• Learning support — we cover 50% of professional courses and development programs;
• Language & wellbeing support — we cover 50% of English classes and psychological consultations;
• Career growth opportunities — we prioritize internal promotions and development;
• Team culture that actually feels like one — regular gifts, company merch, and team events throughout the year;
• Real impact — we are small enough for every voice to be heard and big enough to turn great ideas into action quickly.

Our Client is the fast-paced digital healthcare company which creates the growing portfolio of online health communities for people with chronic conditions. Company’s mission is to improve patient’s quality of life by connecting them with each other, with caregivers and healthcare industry partners, building beneficial social interactions and meaningful health conversations. 

About project:
The core of the project is working with the data; the target is to re-design, transition to cloud and enhance data-driven solutions. The team is responsible for expanding and optimizing the data flow and data pipeline architecture, model and analyze data, interpret trends or patterns in complex data sets and translate them into product and marketing insights. 

About position:

The Data Analytics Engineer is responsible for bringing data from different data sources, modelling data with dbt, developing and performing data quality checks across all data assets. That includes ETL jobs, reports, dashboards, data pipelines and data applications. The primary goal for this role is to ensure high quality of data delivered to internal stakeholders and customers. 

Requirements

• Working knowledge of SQL, and data transformation
• Understanding of data warehouses and business intelligence tools
• Have 5+ years of experience as a data analyst
• Problem-solving and analytical skills to troubleshoot data issues and technical challenges
• Good English skills

 Nice to have:

• Experience with Looker
• Experience with dbt
• Experience writing analytical Python

Technologies:

• AWS
• Databases – Snowflake, Postgre, BigQuery
• DBT
• BI Tools – Looker, Tableau (optional)
• Metaplane
• Git
   

Job responsibilities

• Model and analyze data
• Work on data quality validation
• Leverage various data warehouses, ETL tools and BI platforms for client projects
• Maintain deliverables, projects, and timelines for your client engagements
• Communicate findings clearly to a broad range of stakeholders
• Write SQL scripts to validate data in the data warehouse against the data in the source system(s); write SQL scripts to validate data surfacing in BI assets against the data sources
• Provide training and support to users, improving their experience with BI tools

Senior Analyst (iGaming)
 

About the Role

We are looking for a Senior Analyst to help us grow the business through data. You will analyze key metrics, find growth opportunities, and turn insights into real actions that impact revenue.
 

Responsibilities

• Analyze key metrics (GGR, NGR, LTV, ARPU, churn, ROI) and identify growth drivers
• Find issues in the funnel (deposits, retention, churn) and suggest solutions
• Build dashboards and reports (Power BI / Tableau)
• Run A/B tests and validate hypotheses
• Do market benchmarking and compare performance with competitors
• Prepare clear insights and present them to stakeholders
• Focus on high-impact tasks and business results

Requirements

• 3+ years of experience in analytics (iGaming is a must)
• Strong SQL and/or Python
• Experience with BI tools (Power BI, Tableau)
• Good understanding of key metrics: LTV, retention, churn, funnel, GGR/NGR
• Experience with A/B testing and data-driven decision making
• Ability to turn data into clear insights and recommendations

Soft skills:

• Proactive and result-oriented
• Strong analytical thinking
• Good communication skills
• Ability to prioritize and focus on what matters

Tools: GA, Jira, Confluence, Power BI
 

Probation Goals

• Audit current analytics and suggest improvements
• Set up dashboards and alerts for key metrics
• Analyze funnel and identify main bottlenecks
• Deliver at least one improvement with measurable impact (+5–10%)
• Build a simple weekly report with key metrics and recommendations

Working Conditions

• Remote work.
• Flexible start of the working day.