Jobs Data Analyst

We are looking for a skilled FP&A Analyst to join our customers' team.

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 analysis 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 partner with stakeholders
• Excellent English (written and verbal)

Outstaff Hiring: Remote – Contract (Full-time, long-term)

About the Role

We’re looking for a Senior Data Analyst to support the enterprise Knowledge Graph initiative.

The project connects large-scale company, individual, and relationship data to support compliance, KYC, credit risk, sanctions screening, beneficial ownership analysis, and corporate structure research.

In this role, you’ll work directly with data engineers, product managers, and analysts to validate data, verify query results, investigate discrepancies, and assess data quality across multiple database technologies.

This is a hands-on role focused on delivering clear evidence, including validated results, documented defects, root-cause analysis, and statistical assessments.

Location: Remote (EU)
Engagement: Full-time, long-term contract
Start Date: ASAP
Language: English
Time Zone: Ability to overlap with Eastern US hours

What You’ll Do

• Validate large datasets loaded into Databricks, PostgreSQL, and graph databases
• Confirm data completeness, accuracy, consistency, and structural integrity
• Compare query results across different database technologies
• Ensure the same queries produce correct and consistent results across platforms
• Identify and investigate data discrepancies and quality issues
• Determine whether issues come from ETL pipelines, schema mapping, source data, or database-specific behaviour
• Develop validation test cases and define expected query results
• Maintain data-quality reports, defect logs, and resolution tracking
• Support the assessment of compliance and business use cases
• Help determine whether each use case requires a graph database or can be handled using a traditional relational database
• Apply statistical methods to assess datasets and benchmark results
• Analyse distributions, variance, outliers, sampling quality, and measurement reliability
• Document findings clearly for engineering and product teams

• Work independently with minimal supervision as part of a cross-functional engineering team

   

Must-Have Requirements

• Strong experience in data analysis, data validation, or data quality roles
• Experience validating large and complex datasets
• Strong SQL skills
• Experience working with PostgreSQL or another relational database
• Ability to identify discrepancies and perform root-cause analysis
• Experience with ETL pipelines and data transformation processes
• Understanding of common data-quality issues during data loading and migration
• Experience working with large-scale datasets where manual validation is not sufficient
• Practical knowledge of statistical analysis, including:
  • Distribution analysis
  • Outlier detection
  • Variance analysis
  • Sampling validation
• Ability to analyse benchmark results and separate real differences from normal performance variation
• Experience working across multiple databases or query technologies
• Experience with Databricks, Spark, Delta Lake, or similar distributed data platforms
• Strong written communication and documentation skills
• Ability to work independently in a remote environment
• Experience working within a cross-functional engineering team

Nice-to-Have

• Hands-on experience with graph databases such as:
  • Neo4j
  • TigerGraph
  • NebulaGraph
  • ArangoDB
  • Apache AGE
• Understanding of graph data models, nodes, edges, and relationship structures
• Experience with Cypher or other graph query languages
• Knowledge of Knowledge Graphs or ontology concepts
• Experience with MongoDB
• Experience with data visualisation or graph analysis tools
• Experience in financial services, compliance, KYC, AML, or risk
• Understanding of beneficial ownership, sanctions screening, PEP data, or corporate ownership structures
• Experience with large company and entity relationship datasets
• Familiarity with Bureau van Dijk, Orbis, or similar data sources

Technical Stack

• Databricks
• PostgreSQL
• SQL
• Spark / Delta Lake
• Neo4j
• TigerGraph
• MongoDB
• Graph databases
• Statistical analysis
• ETL pipelines
• Data validation and quality testing

Soft Skills

• Strong analytical and problem-solving skills
• Excellent attention to detail
• Clear and structured communication
• Ability to explain data issues to technical and non-technical stakeholders
• Independent and proactive working style
• Strong ownership and accountability
• Comfortable working with changing technologies and requirements
• Team-oriented approach

Key Deliverables

• Documented validation test cases and expected results
• Dataset validation reports for each technology
• Cross-platform query comparison results
• Root-cause analysis for identified discrepancies
• Data-quality defect log and resolution tracking
• Statistical analysis of benchmark results
• Analytical support for graph database use-case assessment

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 Product Analyst!

Requirements

— 5+ years in product analytics, preferably in fintech, payments, or banking products;
— Advanced SQL skills; confident working with large raw datasets from backend sources;
— Hands-on experience with PostHog — event tracking, funnel and retention analysis, feature flags analytics;
— Proficiency in Tableau — building production-grade dashboards consumed by non-technical stakeholders;
— Experience with BigQuery / Snowflake / Redshift as primary data warehouse;
— Working knowledge of dbt — understanding models, lineage, and writing/modifying transformations;
— Python / pandas for data wrangling, ad-hoc analysis, and automation of repetitive analytical tasks;
— Solid understanding of payments flows (authorization, settlement, chargebacks), conversion funnels, cohort analysis, and fraud/risk metrics;
— Ability to independently scope analytical requests, challenge vague questions, and deliver structured insigh — not just charts;
— Experience working in cross-functional teams with Product, Growth, and Risk stakeholders;
— English B2+ for documentation and async communication;

Responsibilities

◇ Analytics delivery:
— Own end-to-end analytics across user funnels, payments, risk & fraud, and growth - from request intake to insight delivery;
— Answer complex business questions using SQL queries against BigQuery/Snowflake/Redshift, dbt models, and PostHog event data;
— Build and maintain Tableau dashboards actively used by Product, Growth, and Risk teams;
— Conduct funnel, cohort, retention, and segmentation analysis to support product decisions;

◇ Collaboration:
— Work closely with Product Managers to define metrics, instrument new features in PostHog, and evaluate product performance post-release;
— Partner with the Growth & Marketing team on acquisition funnel analysis, campaign attribution, and conversion optimization;
— Support the Risk & Fraud team with behavioral pattern analysis, anomaly detection, and monitoring of fraud signals;
— Align with backend engineers on data availability, event schemas, and data quality issuesp;

◇ Proactive & structural work:
— Audit current analytical coverage and identify gaps in instrumentation or reporting;
— Propose and implement automation and self-serve solutions to reduce the volume of repetitive ad-hoc requests;
— Contribute to dbt models - write new transformations and improve existing ones as needed;
— Document analytical approaches, metric definitions, and dashboard logic to build team knowledge base;

Good to have

— Prior experience in a high-request-volume environment with a structured intake process;
— Exposure to fraud detection models or risk scoring logic;
— Experience building self-serve analytics layers to reduce ad-hoc load;

Work conditions

— 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;
— 24 calendar days of paid leave;
— Additional days off for national holidays.

This role is for an experienced Product Analyst with a strong background in product analytics, experimentation, and data-driven decision-making. You will be responsible for defining product success metrics, analyzing user behavior and A/B test results, uncovering actionable insights, and collaborating cross-functionally to optimize acquisition, retention, and trading experiences while supporting business growth.
Explore opportunities at JustMarkets and become a part of our team of professionals!

Responsibilities

• Partner with Product Leads (Acquisition, Retention, Trading) to define success metrics and KPIs for new features and product roadmaps
• Design, document, and oversee the implementation of tracking plans (event taxonomy)
• Analyze A/B test results, providing clear recommendations on whether to roll out, iterate, or kill a feature based on statistical evidence
• Create and maintain executive-level dashboards and granular product-level reports
• Conduct complex research (e.g., "How does using the CopyTrading feature in the first 7 days impact 90-day retention?")

Requirements

• 3+ years of experience as a Product Data Analyst, ideally within FinTech, Trading, GameDev, or high-transaction B2C digital products
• Advanced proficiency in SQL (complex joins, window functions, query optimization) and hands-on experience with Data Warehouses (BigQuery, Snowflake, Redshift)
• Strong experience with Product Analytics and event tracking platforms (such as Amplitude, Mixpanel, GA4, Firebase Analytics) as well as BI visualization tools (Tableau, Looker, PowerBI, Superset, or similar)
• Solid understanding of statistics specifically for A/B testing (hypothesis testing, p-values, statistical significance, minimum detectable effect)
• Experience using Python or R (Pandas, SciPy, Jupyter) for deeper statistical analysis, cohort modeling, or predictive analytics
• Proven ability to design and govern product event tracking architecture from scratch

Will be a plus

• Domain knowledge in CFD trading, Crypto exchanges, or traditional brokerage businesses
• Experience with Data Engineering concepts and tools (dbt, Airflow) to build your own data pipelines
• Familiarity with mobile attribution platforms (AppsFlyer, Adjust) and deep-linking analytics

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We are looking for a Marketing Data Analyst(part-time) who will build Dripify's marketing attribution and reporting. You will be the architect of how we understand marketing performance commercially: which channels drive revenue, which content converts to paid customers, and where our acquisition spend is actually working.Once the foundation is solid, the scope grows - this engagement starts fractional and is designed to evolve into a full-time role.

Requirements:

• 3+ years as a marketing or data analyst;
• Familiarity with the modern data stack:warehouse (BigQuery/Snowflake/Redshift), ELT (Fivetran / Airbyte), transformation layer (dbt);
• Proven ability to build a marketing attribution model from the ground up - you've connected multi-touch data to actual revenue outcomes before;
• Experience building a BI/visualization layer from raw data (Looker Studio, Tableau, or similar);
• Solid grasp of B2B SaaS funnel mechanics: trial-to-paid conversion, CAC, LTV, MRR attribution;
• You understand what the numbers mean commercially, not just technically.

Nice to have:

• Experience connecting content performance to revenue - article or page-level attribution, mapping organic content consumption to downstream paid conversions;
• Experience with affiliate tracking platforms (Impact, PartnerStack, etc.);
• Еxperience with GA4.

Responsibilities:

• Audit the current GA4 and BigQuery setup: identify tracking gaps, attribution gaps, and data quality issues;
• Design and document the event taxonomy, tracking plan, and naming conventions aligned to real business questions;
• Implement a cross-channel attribution model that connects marketing touchpoints (organic, paid, affiliate, content, email) to trial starts and paid conversions;
• Implement and document the full data model;
• Design and build dashboards that give a clear, consistent view of marketing performance;
• Build channel-level performance views for organic, PPC, affiliates, content, and email, each showing contribution to pipeline and paid revenue, not just traffic;
• Build a content performance dashboard with article-level data including visits, trial starts, and MRR contribution;
• Build a top-of-funnel to revenue waterfall: traffic → trial → paid conversion by source;
• Deliver regular reporting: weekly channel snapshots and monthly marketing performance reviews;
• Conduct campaign and experiment analysis to measure the impact of launches, tests, and budget changes;
• Generate proactive insights: flag anomalies, identify growth opportunities, and support quarterly OKR tracking.

Hiring process:

✅ Interview with Talent Acquisition Specialist — ✅ Final Interview with CMO & Engineering Manager — ✅ Reference Check — ✅ Offer 🎉

Work setup:  Fully remote

Engagement:  Project-based, ~6 months, with likely extension depending on business needs

Role summary

We are looking for a senior data / analytics engineer specialising in Looker (LookML) to lead the modelling and presentation layer that turns raw Google Cloud data into governed, self-service insight for our clients.

The heart of the role is running a complex, multi-tenant Looker environment. You will maintain a LookML layer that uses dynamic properties and user attributes to route each user to their own BigQuery dataset — keeping this shared "single model, many tenants" architecture secure, scalable and fast.

Required skills & experience

• Looker / LookML — expert-level: building complex models and managing Looker instances.
• Version control — managing branches and repositories for models, dashboards and metrics.
• Advanced SQL — strong command of SQL for Google BigQuery, including window functions and nested / repeated fields.
• Multi-tenancy — managing data access and security filtering for multiple external clients within a single BI platform.
• Data governance — using Liquid variables and user attributes in Looker to drive dynamic, context-specific content.
• User administration — managing Looker groups, roles and users, including custom attributes per user.
• GCP — a general understanding of Google Cloud resource structures, enough to interpret the incoming data correctly.

Experience requirements

• 3+ years working with LookML.
• 5+ years working with SQL.
• 3+ years working with Google Cloud Platform (GCP).
• 4+ years working with Google BigQuery.

About N5Deal

N5Deal is the first and largest M&A platform built specifically for the financial sector, connecting verified buyers, sellers, and brokers to trade licensed financial institutions — banks, EMIs, PSPs, MSOs, and crypto/stablecoin providers — across dozens of countries. We replace slow, consultant-driven M&A processes with a transparent digital marketplace, backed by AI-powered matching, KYF (Know-Your-Fintech) intelligence, and a growing network of broker and referral partners who source and close deals alongside our team.

The Role

We're hiring a Partnership Analytics Analyst to own the data behind our broker and partner network. You'll track how partners source and close deals, measure the health of our AI-driven deal-matching pipeline, and turn raw marketplace data into reporting the Partnerships and leadership teams can act on. A core part of this role is using Claude and Claude Code to build automations, scripts, and lightweight internal tools — we want someone who treats AI-assisted coding as a standard part of the analytics toolkit, not a novelty.

What You'll Do

• Build and maintain dashboards and recurring reports tracking partner/broker performance: referrals, deal flow, conversion rates, and closed deal value.
• Analyze marketplace data across listed assets (banks, EMIs, PSPs, MSOs, crypto licenses) to surface trends in demand, pricing, and conversion by jurisdiction and license type.
• Monitor the performance of the AI Matching engine that connects buyers and sellers, and partner with Product/Engineering on improving match quality.
• Use Claude Code to build internal automation scripts, data pipelines, and self-serve reporting tools that cut down manual analysis work.
• Work with the Partnerships team to score and evaluate broker/partner performance, informing decisions on which relationships to expand, renegotiate, or wind down.
• Track and reconcile partner referral and commission data across CRM, deal-pipeline, and finance systems.
• Produce recurring (weekly/monthly) reporting on deal flow, partner contribution, and overall marketplace KPIs for leadership.
• Field ad hoc data requests from Partnerships, Sales, and Leadership, translating raw platform data into clear, actionable insight.
• Identify data-quality issues in the CRM/deal pipeline and work with Engineering to resolve them at the source.
• Document and productionize analytics workflows so Partnerships and Finance can increasingly self-serve.

What We're Looking For

• 2-4+ years of experience in a data, business, or partnerships analytics role — ideally within fintech, marketplaces, or M&A/deal-flow environments.
• Hands-on experience using Claude Code (or a comparable AI coding agent) to build scripts, automate reporting, or ship small internal tools. This is a core, not optional, part of the role.
• Strong SQL skills and fluency in spreadsheet-based analysis (Excel/Google Sheets).
• Experience building dashboards/reports with tools such as Looker, Metabase, or Google Data Studio.
• Comfortable working with CRM and deal-pipeline data (e.g., HubSpot, Salesforce, Pipedrive, or similar).
• Sharp attention to detail and comfort reconciling data across multiple systems.
• Excellent written English and the ability to translate data into clear narratives for non-technical stakeholders.
• Comfortable operating in a fast-paced, remote-first startup environment with evolving processes.

Nice to Have

• Familiarity with fintech licensing and M&A concepts (EMI, PSP, MSO, banking licenses).
• Python scripting experience for data automation beyond Claude Code-assisted workflows.
• Prior experience working with broker, affiliate, or partner referral networks.

We are looking for a proactive Lead Product Analyst to join Dripify (🔗 dripify.com) - a B2B SaaS platform that helps sales, recruitment, marketing teams and founders automate and scale LinkedIn outreach.

Our product enables businesses to generate leads, build meaningful professional relationships, and create predictable pipeline through smart prospecting workflows and automation.

In this role you will build the analytics function from zero, owning everything from event taxonomy and tracking plan to the warehouse architecture and the Tableau dashboards the product team checks every morning.

You will be a true partner to the product team: co-author of product decisions, not a ticket-executor. You will shape hypotheses, run experiments, find the Aha Moments for different user segments, and ensure that every roadmap decision is grounded in data.

Requirements:

• 5+ years as a product / data analyst, including 3+ years in B2B SaaS
• Expert-level Amplitude, including hands-on implementation from scratch (event taxonomy, tracking plan, QA), not just using a pre-configured instance
• Expert-level Tableau, complex dashboards, LOD expressions, performance optimization, dashboard design for non-technical stakeholders
• Expert SQL, complex queries, window functions, data modeling for analytics use cases
• Proven experience building product analytics from zero: tracking plan, event taxonomy, naming conventions, data architecture
• Deep understanding of SaaS / PLG metrics: MRR, ARR, NRR, GRR, cohort retention, LTV, CAC, payback period, activation rate, expansion revenue
• Hands-on A/B testing experience: hypothesis design, power calculation, statistical significance, post-launch impact analysis
• Familiarity with the modern data stack: warehouse (BigQuery/Snowflake/Redshift), ELT (Fivetran / Airbyte), transformation layer (dbt)
• English: Upper-Intermediate or higher (written and spoken)

Strongly preferred:

• Experience in a PLG product with a self-serve trial model
• Python for deeper analysis, automation, and statistical work
• Hands-on with FastSpring or similar merchant of record platforms: subscriptions, MRR movements, refunds, failed payments
• Experience selecting and implementing an analytics stack end-to-end
• Familiarity with the sales-tech/outreach/LinkedIn automation space

Responsibilities:

• Design and document event tracking structure, tracking plan, and naming conventions aligned to real business questions
• Implement Amplitude from scratch, spec requirements with engineering, QA events, configure charts and dashboards
• Design and build the data pipeline: product events + backend DB + payment system -> warehouse -> Tableau
• Make foundational decisions on the full analytics stack (warehouse, ELT, transformation layer) with full ownership
• Become a true partner to the product owners, co-author of product decisions, not a ticket-executor
• Participate in discovery: shape hypotheses, design experiments, identify user segments' Aha Moments
• Run end-to-end A/B testing: hypothesis, sample sizing, statistical significance, post-launch impact analysis
• Inform roadmap prioritization with data; push back when the data says otherwise
• Identify the Aha Moment for different segments: sales reps, recruiters, agencies
• North Star metric + supporting KPIs dashboard
• Funnel analytics: registration -> activation -> trial -> paid -> retention -> expansion
• User Base Overview and Account Base Overview with drill-down by status and company
• Activation flow with step-by-step drop-off and time-on-step visualization
• Cohort retention, feature adoption, MRR movement (new/expansion/churn/contraction/reactivation)
• Build dashboards across the full customer lifecycle, from acquisition and activation to retention, expansion, and churn
• Build the analytics workflow: how requests come in, how insights flow back, how they feed into roadmap
• Create and maintain a metrics dictionary, data definitions, and ownership documentation
• Drive a self-serve culture, enable PMs to pull their own data without analyst bottlenecks

Work conditions:

• 100% remote position, providing flexibility and work-life balance.
• Competitive salary reflecting your skills and expertise
• 24 days of paid vacation per year to recharge and relax
• 10 days of paid sick leave
• Educational opportunities
• Compensation budget for medical and hobby/sport expenses.
• Generous budget for birthdays and anniversaries
• Online and offline team events
• A collaborative and innovative work environment with passionate team members
•  

Hiring process:

✅ Interview with Recruiter — ✅ Test Assignment — ✅ Final Interview with Head of Product and Operations — ✅ Reference Check — ✅ Offer 🎉

Emerise Group is a dynamic, product-driven company operating in the iGaming industry, focused on building high-impact solutions that fuel innovation and deliver outstanding user experiences across the entertainment ecosystem. The team is looking for a Data Analyst with strong analytical thinking who can turn data into clear insights and support business decisions. The role focuses on building reports, analyzing marketing performance, and identifying opportunities for growth and optimization.
 

Requirements:

• 2+ years of experience as a Data Analyst / Marketing Data Analyst in a digital, performance marketing, affiliate, or iGaming company.
• Hands-on experience with BI tools (Tableau, Power BI, Looker Studio, or similar).
• Experience analyzing marketing traffic sources (PPC, SEO, CPA networks, etc.).
• Strong understanding of performance marketing metrics: ROI, LTV, Retention, Churn, ARPPU, MAU/DAU, and conversion funnels.
• Ability to work with Google Sheets / Excel at an advanced level.
• Analytical thinking and ability to transform business questions into data-driven insights.
• Understanding of attribution models and affiliate/media buying analytics.

Tech Stack:

• Tableau, Google Sheets, Python, SQL, Big Query.

Desired / Preferred Skills:

• Experience in iGaming, fintech, betting, or other high-volume transactional businesses.
• Experience with A/B test analysis and basic statistics.
• Familiarity with ETL/ELT tools (Pentaho, Airflow, dbt, or similar).
• Experience working with product analytics tools (GA4, Adjust, AppsFlyer, Amplitude, Mixpanel, etc.).

Expected Duties / Responsibilities:

• Build and maintain dashboards, reports, and self-service analytics for marketing and management teams.
• Prepare ad-hoc analyses and provide actionable recommendations to stakeholders.
• Translate business questions into analytical tasks, define requirements, prioritize requests, and coordinate execution with the external analytics/data team.
• Analyze acquisition performance across all traffic channels and identify opportunities for scaling profitable traffic.
• Investigate anomalies in marketing and product metrics and identify root causes.
• Document analytical logic, KPI definitions, and reporting methodologies for internal knowledge sharing.
   

Selling Points:

• Remote-First Work Model: we offer a fully remote work environment, providing you with the flexibility to work from any location worldwide while maintaining high productivity and work-life balance.
• Growth-Oriented Environment: join a fast-growing business operating in a startup-driven environment with minimal bureaucracy. We value efficiency, ownership, and the ability to make decisions quickly.
• Opportunity to drive data-driven decisions at scale: you will own reporting and analytics, turning complex data into actionable insights that directly influence marketing performance, product decisions, and business growth.
• Collaborative and Transparent Culture: we foster a professional, respectful, and open working culture where teamwork, accountability, and clear communication are core values.

Наш клієнт, Growe, провідна консалтингова компанія та група сервісів у сфері iGaming і розваг. Вони створюють стратегії, що працюють, та рішення, які масштабуються. 

Ідеально для тих, хто прагне:

• Аналізувати поведінку гравців протягом усієї воронки продажів: реєстрація, перший депозит, утримання, повторна активація, відтік – та перетворювати результати на практичні рекомендації щодо продуктів;
• Проектувати, проводити та інтерпретувати A/B-тести та квазіексперименти, керувати методологією вимірювання впливу функцій;
• Створювати та підтримувати когортні аналізи (LTV, криві утримання, окупність) для підтримки рішень щодо продуктів та інвестицій;
• Визначати, контролювати KPI та дерева метрик продукту, перевіряти метрики, які не відображають реальної бізнес-цінності;
• Співпрацювати з менеджерами продуктів, щоб визначити пріоритети дорожньої карти на основі очікуваного впливу, а не інтуїції;
• Розробляти самообслуговувані інформаційні панелі (Tableau) та джерела даних, щоб допомогти зацікавленим сторонам відповідати на рутинні запитання без залучення аналітиків;
• Досліджувати аномалії в ключових метриках та чітко повідомляти першопричини нетехнічній аудиторії;
• Підтримувати культуру ретельної, чесної аналітики: документувати припущення, кількісно визначати невизначеність та відмічати, коли дані не можуть відповісти на запитання;
• Розвивати впровадження веб-аналітики та якості даних: плани відстеження, таксономія подій, управління тегами (GTM) та перевірка нових релізів відстеження.

Досвід, який стане твоєю перевагою:

• 2+ роки в продуктовій/веб або Data-аналітиці;
• Практичний досвід роботи з платформами веб-аналітики (GA4, Amplitude, Mixpanel або подібними), включаючи розробку та впровадження відстеження подій, а не лише використання звітів;
• Досвід роботи з iGaming або іншою високочастотною B2C-сферою (фінтех, ігри, електронна комерція) буде перевагою;
• Знання Google Tag Manager або порівнянної системи керування тегами та здатність читати специфікації dataLayer та налагоджувати проблеми відстеження;
• Поглиблені знання SQL - віконні функції, CTE, великі набори даних (Athena або подібна є перевагою);
• Знання статистики: перевірка гіпотез, довірчі інтервали, статистична потужність, поширені помилки експериментів (передній перегляд, упередженість вибору, упередженість когортної зрілості);
• Досвід роботи з аналізом воронки продажів, когортним аналізом, LTV та моделюванням утримання;
• Вміння працювати з інструментом бізнес-аналітики (бажано Tableau), включаючи розробку джерел даних;
• Розуміння моделей атрибуції та їх обмежень;
• Python або R для ad-hoc аналізу буде перевагою (pandas, підгонка кривої, аналіз виживання);
• Англійська мова на рівні Intermediate та вище.

Ми цінуємо:

• Бізнес-мислення: ви починаєте з рішення, яке потрібно прийняти, а не з даних, які випадково доступні;
• End-to-end мислення: ви природно пов'язуєте налаштування цільової сторінки з її впливом на депозити та LTV, а не оптимізуєте кожен етап окремо;
• Інтелектуальна чесність: ви кажете «дані цього не підтверджують», навіть коли аудиторія хоче іншої відповіді, і ви кількісно оцінюєте, наскільки ви насправді впевнені;
• Увага до якості даних: ви ставитеся до несправного відстеження як до інциденту першочергового рівня, оскільки від нього залежить кожен подальший аналіз;
• Відповідальність: ви стежите за питанням від сирої події до бізнес-рішення, не чекаючи ідеально визначеного завдання.

Наші клієнти пропонують конкурентні переваги для підтримки вашого професійного та особистого зростання, зокрема:

• Орієнтація на здоров’я та добробут;
• Глобальне медичне страхування;
• Можливості для зростання;
• Програми бенефітів (компенсація спорту / стоматології / психолога тощо);
• Бонуси за досягнення результатів;
• Динамічне робоче середовище.

English version:

Our client, Growe, is a leading business advisory and services group in iGaming and Entertainment. Сreators of strategies that work and solutions that scale. 

Perfect for those who aim to:

• Analyze player behavior across the full funnel: registration, first deposit, retention, reactivation, churn - and translate findings into actionable product recommendations;
• Design, run, interpret A/B tests and quasi-experiments, handle the methodology for measuring feature impact;
• Build and maintain cohort-based analyses (LTV, retention curves, payback) to support product and investment decisions;
• Define, validate, and monitor product KPIs and metric trees, challenge metrics that don't reflect real business value;
• Partner with product managers to prioritize the roadmap based on expected impact, not intuition;
• Develop self-service dashboards (Tableau) and datasources to help stakeholders answer routine questions without analyst involvement;
• Investigate anomalies in key metrics and communicate root causes clearly to non-technical audiences;
• Maintain culture of rigorous, honest analytics: document assumptions, quantify uncertainty, and flag when data can't answer the question;
• Own web analytics implementation and data quality: tracking plans, event taxonomy, tag management (GTM), and validation of new tracking releases.

Experience you’ll need to bring:

• 2+ years in product or web analytics;
• Hands-on experience with web analytics platforms (GA4, Amplitude, Mixpanel, or similar), including event design and tracking implementation, not just report consumption;
• Experience with iGaming, or another high-frequency B2C domain (fintech, gaming, e-commerce) will be a plus;
• Working knowledge of Google Tag Manager or a comparable tag management system and ability to read dataLayer specs and debug tracking issues;
• Strong SQL - window functions, CTEs, large datasets (Athena or similar is a plus);
• Solid grounding in statistics: hypothesis testing, confidence intervals, statistical power, common experiment pitfalls (peeking, selection bias, cohort-maturity bias);
• Experience with funnel analysis, cohort analysis, LTV and retention modeling;
• Proficiency with a BI tool (Tableau preferred), including data source design;
• Understanding of attribution models and their limitations;
• Python or R for ad-hoc analysis is a plus (pandas, curve fitting, survival analysis);
• English at Intermediate level and higher.

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

• Business first mindset: you start from the decision that needs to be made, not from the data that happens to be available;
• End-to-end thinking: you naturally connect a landing page tweak to its downstream effect on deposits and LTV, rather than optimizing each stage in isolation;
• Intellectual honesty: you say "the data doesn't support this" even when the room wants a different answer, and you quantify how confident you actually are;
• Attention to data quality: you treat broken tracking as a first-priority incident, because every analysis downstream depends on it;
• Ownership: you follow a question from raw event to business decision without waiting for a perfectly specified task.

Our clients offer competitive benefits to support your professional and personal growth, including: 

• Health & Wellness Focus;
• Global Medical Coverage;
• Growth Opportunities;
• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
• Performance-Driven Rewards;
• Dynamic Work Environment.

Who We Are:

An international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 1000+ professionals in 20+ locations, we operate in 10 countries, serving over 300,000 customers.

In this role you will be responsible for: 

Data Loss Prevention (DLP) Management:

• Manage Data Leakage Prevention tool and processes end-to-end.
• Designing, implementing, and supporting new DLP rules.
• Focus on reducing false positives from DLP tools to improve accuracy.
• Monitor the DLP dismissal process and handle custom requests.
• Conduct thorough DLP testing and validation.

Security Control & Risk Management:

• Design, implement, and support robust data security controls.
• Manage data security projects from inception to deployment.
• Performing security assessments (data security perspective) on systems and applications.
• Analyze requests and approving data transfer or critical access based on security policies.
• Create detailed security hardenings guides and provide system configuration requireme

Data Analysis & Reporting:

• Investigate security alerts, logs, and data from SIEM and DLP systems.
• Perform in-depth analysis of large security datasets.
• Develop and maintain key security metrics, perform audits and report for management.

Security Incident Analysis & Response:

• Conducting analysis for data security incidents and providing support for L3 SOC activities.
• Responding to urgent incidents outside working hours as part of an on-call rotation.
• Contribute to incident response by providing rapid data analysis and forensics support.

About the Project

We are looking for a Data Analyst to join an international project focused on large-scale data aggregation and operational support. This role combines data analysis with operational responsibilities, offering an opportunity to work closely with both internal teams and the client.

Responsibilities

• Analyze large datasets and provide actionable insights.
• Validate business hypotheses and support data-driven decision-making.
• Write, optimize, and maintain SQL queries.
• Investigate client-reported issues and perform data validation.
• Conduct root cause analysis and assist in resolving operational incidents.
• Support day-to-day operational processes and client requests.
• Collaborate with cross-functional teams and stakeholders.

Requirements

• Solid knowledge of SQL, Python, and Excel.
• Strong self-management and ability to work autonomously.
• Experience working in distributed or remote teams.
• Ability to operate effectively in a dynamic, operational environment.

• Flexibility to occasionally support business needs outside standard working hours.

   

Working Conditions

• Working schedule: Sunday–Thursday (Ukraine time zone).
• Strong focus on information security and data confidentiality.

Hiring process

1. HR interview
2. Logic assissment
3. Python assissment 
4. Technical interview
5. Client interview

Who We Are: An international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 1000+ professionals in 20+ locations, we operate in 10 countries, serving over 300,000 customers.
 

Always Pushing the Boundaries? You Already Belong at RISK!

Our global-scale operations are based on strong internal expertise, analytics, and data research. We have expertise in iGaming operations (sports betting, online casino), digital and affiliate marketing, tech solutions, and data analytics.
 

We are looking for an Reporting Analyst to join our team.
 

Responsibilities:

• Monitor data quality by validating accuracy, consistency, and completeness of data across reports and dashboards;
• Perform routine checks to ensure timely updates and reliability of reporting data;
• Collaborate with analysts and stakeholders to clarify data requirements and ensure correct interpretation of metrics;
• Create and maintain automated reports and dashboards for tracking key product metrics;
• Identify, investigate, and help resolve discrepancies in data collection, transformation, and processing;
• Optimizing Tableau dashboard performance and streamlining workflows to drive operational efficiency and enhance user experience.
   

Requirements:

• 2+ years of experience with BI tools (Tableau);
• Advanced SQL skills (MySQL, PostgreSQL) and experience in building complex analytical queries;
• Ability to translate business problems into analytical solutions;
• Strong analytical skills;
• Experience in communicating with internal stakeholders: requirements gathering, finding solutions, and presenting results;
• Ability to work independently and manage tasks from end to end;
• English level: Pre-Intermediate or higher.
  
  Our Benefit Cafeteria is Packed with Goodies:
  • Children Allowance
  • Mental Health Support
  • Sport Activities
  • Language Courses
  • Automotive Services
  • Veterinary Services
  • Home Office Setup Assistance
  • Dental Services
  • Books and Stationery
  • Training Compensation
  • And yes, even Massage!
     

Ready to Take the Leap?

Join a team where every day is an opportunity to take a RISK and come out on top. Follow us on LinkedIn and Instagram, and let us be your hub for turning ambitious ideas and extraordinary solutions into reality.

At RISK, we believe that our people are the driving force behind our success. Together, we can achieve great things and push the boundaries of what's possible in the iGaming industry.

Наш клієнт — міжнародна маркетингова компанія, яка стрімко масштабується та займає провідну позицію в індустрії iGaming, з особливою увагою до ринку Азії.

Від глибоких досліджень ринку та розробки стратегії до результативних діджитал-кампаній і сміливих креативів — команда охоплює повний цикл маркетингу, допомагаючи клієнтам випереджати конкурентів в одній із найдинамічніших галузей світу.

Ідеально для тих, хто прагне:

• Визначати ключові метрики та методології для маркетингової, CRM та продуктової аналітики, узгоджувати їх із загальними бізнес-цілями та допомагати у прийнятті ефективних рішень;
• Виявляти можливості та проблеми за допомогою аналізу даних, формувати інсайти та презентувати їх у простому, придатному для дій вигляді;
• Працювати незалежно та автономно, тісно співпрацюючи з командами маркетингу, CRM та продукту для регулярного інформування про ефективність усіх маркетингових каналів у залученні клієнтів;
• Забезпечувати цілісність даних із різних джерел, активно аналізувати та вдосконалювати існуючі потоки даних;
• Сприяти підвищенню точності, надійності та загальної якості даних;
• Розробляти зручні для користувачів дашборди в Tableau для моніторингу основних KPI (як наявних, так і нових);
• Пропонувати інноваційні ідеї для оптимізації ефективності та результативності маркетингу;

• Очолювати процес автоматизації звітності для своєчасного та точного надання інформації.

   

Досвід, який стане твоєю перевагою:

• 2+ роки досвіду роботи в аналітиці, переважно у продуктовій аналітиці в сегменті B2C;
• Просунутий рівень володіння SQL;
• Досвід роботи з Tableau або аналогічними інструментами;
• Глибокі знання статистики та досвід їх застосування для аналізу складних даних;
• Знайомство з GIT та Airflow буде перевагою;
• Досвід роботи з бібліотеками Python також буде плюсом;

• Рівень англійської мови не нижче Intermediate.

   

Ми цінуємо:

• Здатність працювати самостійно та автономно;
• Уважність до деталей і висока культура праці;

• Проактивність та орієнтованість на результат.

   

Наші клієнти пропонують конкурентні переваги для підтримки вашого професійного та особистого зростання, зокрема:

• Орієнтація на здоров’я та добробут;
• Глобальне медичне страхування;
• Можливості для зростання;
• Програми бенефітів (компенсація спорту / стоматології / психолога тощо);
• Бонуси за досягнення результатів;
• Динамічне робоче середовище.

Долучайся — і нехай твоя історія зростання розпочнеться.

English version:

Our client, a fast-scaling international marketing company, is a major player in the iGaming industry, with a dedicated focus on expanding operations across Asia. From deep market research and business strategy to performance-driven digital campaigns and bold creatives, the team manages the entire marketing lifecycle to help clients stay ahead in one of the world’s most competitive industries.

Perfect for those who aim to:

• Define key metrics and methodologies for Marketing, CRM and Product analytics, align them with overall business goals, and assist in efficient decision-making;
• Identify opportunities and issues through data analysis, bring insights, and present them in an easy, actionable way;
• Work independently and autonomously, collaborating closely across Marketing, CRM, and Product to provide regular updates on the effectiveness of all marketing channels on the acquisition pipeline;
• Maintain data integrity from various sources, actively challenge and improve existing data flows;
• Contribute to the enhancement of accuracy, reliability, and overall data quality;
• Develop user-friendly Tableau dashboards to monitor primary KPIs, both existing and new;
• Recommend innovative ideas for optimising marketing performance and efficiency;

• Lead automated reporting for timely and accurate information delivery.

   

Experience you’ll need to bring:

• At least 2 years of analytical experience, preferably in B2C product analytics;
• Advanced proficiency in SQL;
• Proficiency in Tableau or similar tools;
• Solid statistical knowledge and experience in using statistics to analyse complex data;
• Familiarity with GIT and Airflow is a plus;
• Experience with Python libraries is also a plus;

• At least an Intermediate level of English.

   

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

• Capability to work self-sufficiently;
• Attention to detail and strong work ethic;

• Proactive and result-oriented mindset.

   

Our clients offer competitive benefits to support your professional and personal growth, including:

• Health & Wellness Focus;
• Global Medical Coverage;
• Growth Opportunities;
• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
• Performance-Driven Rewards;
• Dynamic Work Environment.

Apply, and let your growth journey begin.

Fidel Group is an international product iGaming holding building a complete B2C ecosystem across online casino and adjacent products. We manage the entire value chain—from user acquisition, marketing, and payments to product development, retention, and proprietary technology. Our ecosystem includes 8+ casino brands, an in-house platform, payment infrastructure, game development, and affiliate marketing. With 2,000+ employees worldwide, we operate across Latin America, Africa, Asia, and are actively expanding into Europe.

We're looking for a Middle Product / Data Analyst to join our growing Analytics team. You'll help build and develop BI reporting, analyze product and marketing performance, optimize SQL queries, and transform data into actionable business insights.

Responsibilities

• Develop and maintain interactive dashboards in Tableau

• Write and optimize complex SQL queries

• Analyze product performance, traffic quality, and marketing campaigns

• Monitor key business metrics (Retention, LTV, ARPU/ARPPU, GGR/NGR, RTP, Bonus Emission)

• Improve reporting processes and automate manual reports

• Ensure data consistency and reporting quality

• Collaborate closely with Product, Marketing, and other business teams

Requirements

• 2+ years of experience as a Product Analyst, Data Analyst, or BI Analyst

• Strong SQL (JOINs, CTEs, Window Functions, Subqueries)

• Commercial experience with Tableau

• Experience building dashboards and analytical reports

• Understanding of product and marketing analytics

• Advanced Excel / Google Sheets

• Russian — Fluent

• English — B1–B2

Nice to have

• Experience in iGaming / Betting

• Python

• Experience with DWH

• Cohort analysis, RFM segmentation

• Affiliate / acquisition traffic analytics

We offer

• Fully remote work

• Flexible working hours

• Opportunity to work with large datasets and complex analytical tasks

• Direct influence on business and product decisions

• International product environment

• Performance-driven culture with minimal bureaucracy

📩 If you're interested or know someone who might be a good fit, feel free to reach out.