Jobs Data Analyst

ICONIC21 is expanding its Risk & Fraud team and is looking for a Junior Risk & Fraud Analyst.

We develop innovative solutions for the Live Casino industry and are looking for a motivated specialist who wants to grow in the fields of analytics, antifraud, and user behavior analysis.

In this role, you will participate in fraud investigations, analyze game mechanics and player activity, detect suspicious behavior patterns, and contribute to the improvement of existing antifraud solutions and monitoring systems.

Requirements
 

• Higher education in mathematics, statistics, computer science, or another technical field.
• Strong Microsoft Excel skills.
• Intermediate level of English.
• Analytical mindset and attention to detail.
• Ability to work with large volumes of data.
• Basic programming skills (Python/R would be a plus).
• Basic SQL knowledge.

Responsibilities
• Analyze game mechanics and user behavior. 
• Detect suspicious and anomalous patterns. 
• Participate in the automation of monitoring and analytical processes. 
• Perform statistical checks and data analysis. 
• Prepare reports and visualizations for internal teams. 

Nice to have
 

• Experience in the iGaming industry.
• Knowledge of fraud detection methodologies and risk analysis principles.
• Understanding of RTP, GGR, player behavior analysis, or anomaly detection.
• Interest in cybersecurity, integrity, and antifraud systems.
• Experience in data analysis or fraud detection would be an advantage

Working conditions
- Full-time, office-based position in Kyiv
- Night shifts only (schedule provided upon request)
- Includes weekends and public holidays on a rotating basis

• 21 working days of paid vacation per year.
• 21 working days of paid vacation per year.
• 15 paid sick days per year.
• Flexible working hours.
• Opportunity to grow in the Risk & Fraud field within an international iGaming company.
• Work in a team that values initiative, analytical thinking, and new ideas.
• Supportive and dynamic international 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.
 

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.

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 Integration Manager to join a project focused on AI-powered pricing solutions for enterprise retail businesses. In this role, you will drive customer integrations, support data quality processes, and help build scalable onboarding and integration workflows.

You will work closely with Customer IT and business stakeholders, external integration partners, and internal teams to ensure seamless platform adoption and reliable integration performance. This position is a great fit for specialists who enjoy solving data challenges while balancing technical and business communication.

We at Sigma Software offer the opportunity to work on impactful international projects, collaborate with experienced professionals, and contribute to modern data-driven solutions used by global retailers.

CUSTOMER

Our Customer is a leading retail technology company specializing in AI-driven pricing optimization solutions for enterprise retailers. The company helps businesses improve profitability and competitiveness through advanced analytics, automation, and data-informed pricing strategies. Their platform combines business intelligence with sophisticated algorithms to support smarter pricing decisions at scale.

PROJECT

The project focuses on implementing and optimizing a modern pricing platform for large-scale retail organizations. As an Integration Engineer, you will support Customer onboarding, ensure reliable and scalable integrations, and contribute to seamless platform adoption. The role involves close collaboration with Customer IT and business teams, external partners, and internal stakeholders in an international environment.

Job Description

• Lead end-to-end technical integrations between the platform and Customer systems
• Coordinate onboarding activities and support successful Customer adoption
• Support, maintain, and optimize integrations for existing enterprise Customers
• Ensure reliability, consistency, and quality of integrated data flows
• Translate business requirements into technical integration solutions
• Collaborate directly with Customer IT and business stakeholders
• Coordinate external integration vendors and contractors during implementation activities
• Identify and resolve integration and data-related issues
• Contribute to scalable and repeatable integration processes and best practices
• Participate in Customer workshops, technical discussions, and solution presentations

Qualifications

• 3+ years of commercial experience in integration, data engineering, or related roles
• Strong SQL skills
• Upper-Intermediate or higher English level
• Experience translating business requirements into technical solutions
• Understanding of data integration concepts and enterprise system integrations
• Strong analytical thinking and problem-solving skills
• Excellent communication and presentation abilities
• Experience working directly with Customers and stakeholders
• Ability to work independently with minimal supervision
• Strong attention to detail and fast-learning mindset

WILL BE A PLUS:

• Basic Python knowledge
• Experience with Apache Airflow
• Understanding of ETL processes and data integration best practices
• Experience working on retail industry projects
• Experience supporting enterprise-level Customer

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics, and banking.   
 

Job Description: 

Fozzy Group is building a next-generation Customer Value Management (CVM) Decision Support System that  lives inside our app's gamified experience layer. Instead of traditional CRM triggers alone, engagement and retention are driven through game mechanics – achievement chains, progress bars, and personalized quests – and we need someone who can turn those mechanics into measurable, data-driven strategy. The project focuses on two major streams: 

• Engagement Growth: Driving gamification adoption, modeling guest lifecycle, and applying proactive strategies to increase purchase frequency and deepen engagement. 

• Retention & Loyalty Management: Early churn detection, loyalty preservation, and predictive modeling of customer attrition to implement timely and personalized interventions that reduce churn risk. 

You'll work closely with product, game-mechanic designers, CVM, and the wider Data Science team, and your models will directly shape decisions about quest design, reward economics, and lifecycle communication. 

Job Responsibilities 

• Model customer lifecycle stages inside the gamified platform – from first touch through onboarding to habitual engagement – and identifying where drop-off happens

• Design and A/B test game mechanics meant to convert guests into active app users (first-order quests, achievement chains, milestone rewards) 

• Automate customer targeting and personalized offer selection across CVM campaigns 

• Build next-best-quest / next-best-action logic to personalize each customer's path through the game 

• Design predictive triggers for retention interventions and measure whether they're actually incremental or just rewarding people who'd have stayed anyway 

• Build and maintain SQL pipelines to aggregate, clean, and transform customer and transactional data from multiple sources 

• Extensively utilize SQL and dbt to design, develop, and optimize data models within our high-volume data platform, effectively managing and processing multi-billion-row datasets 

• Develop data preparation pipelines and contribute to deploying ML models for churn prediction, segmentation, and uplift modeling. 
 

Requirements 

• Bachelor’s Degree in Mathematics / Quantitative Economics / Econometrics / Statistics / Computer Sciences / Finance 

• At least 2 years of working experience on Data Analytics 

• Strong mathematical background in Linear algebra, Probability, Statistics & Optimization Techniques 

• Solid SQL and Python 

• Experience with BI tools (Power BI, Tableau, Looker) 

• Knowledge of statistical methods (Hypothesis testing, A/B tests, PCA) 

• Ability to work independently and structure complex problems into clear solutions. 
 

Preferred 

• Experience with Airflow, Docker, or Kubernetes for Data Orchestration 

• Spark/Trino and Lakehouse experience is a plus 

• Applied knowledge of Machine Learning (e.g., Decision Trees, Random Forest, and Boosting). 
 

What We Offer 

• Competitive salary; 

• Professional & personal development opportunities; 

• Being part of dynamic team of young & ambitious professionals; 

• Corporate discounts for sport clubs and language courses; 

• Medical insurance package.

We are looking for Business Analyst to develop and support Big Data solutions used across multiple business units. In this role, you will focus on structuring business needs, defining data logic and ensuring solutions are clearly specified for implementation. The position combines analytical work, data solution design and cross-team collaboration in a large-scale telecom environment.

Responsibilities
•    Collect, analyze and formalize business requirements from internal teams
•    Translate business needs into structured documentation, data logic and functional specifications
•    Design analytical solutions such as triggers, batch processes, dashboards and data funnels
•    Define data mappings, transformation rules and end-to-end processing flows
•    Build, aggregate and validate datasets from multiple internal and external sources
•    Support development teams by clarifying requirements, logic and acceptance criteria
•    Maintain structured product documentation, PRDs and user stories
•    Participate in solution discussions to ensure feasibility, clarity and consistency of implementation
•    Provide visibility on analysis progress and document agreed decisions and assumptions
•    Contribute to improving analysis practices, documentation quality and internal knowledge sharing

Requirements
•    2+ years of experience in Business Analysis, Data Analysis, Data Engineering or a similar role
•    Strong analytical thinking and ability to structure complex business requests
•    Proven experience writing clear functional and technical documentation
•    Solid SQL skills and experience working with large datasets and ETL processes
•    Experience working with Big Data platforms such as Apache Hadoop, Amazon Web Services, Microsoft Azure or similar environments
•    Familiarity with streaming or pipeline tools such as Apache Kafka is an advantage
•    Understanding of data structures, processing logic and system integration principles
•    Experience working with multiple teams in complex corporate environments
•    Telecom domain knowledge is a plus

We offer
•    Work on large-scale data solutions with real operational usage
•    Remote-friendly work format with flexible hours
•    Competitive salary and annual performance bonus
•    Paid vacation and sick leave
•    Medical and life insurance
•    Professional development and career growth opportunities
•    Supportive, expert-level team environment

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.

The Role: The project is a global leader in sports, music, travel, culture, and more. It creates and delivers extraordinary experiences by providing official access and premium hospitality at marquee global sporting events, global music tours, etc.

Requirements:

• 4+ years of work experience as a Data Analyst.
• Hands-on experience with SQL and Python/R.
• Experience in core data science activities: extracting data from SQL data stores, exploratory data analysis (EDA), strong data modeling experience, data visualization, and reporting; data modeling.
• Proficiency in BI and data visualization tools: Tableau (preferable), Qlik, Power BI, Looker, Adobe Analytics, etc.
• Any experience with cloud data warehouses (preferably Snowflake, Redshift, or BigQuery)
• Familiarity with dbt for transformation.
• Strong problem-solving, analytical skills, and decision-making abilities.
• Proven ability to analyze data and translate it into actionable insights and value propositions.
• Track record of solving complex data problems with an investigative mindset.
• Innovative and quick thinker with an out-of-the-box approach to challenges.
• Flexible, self-motivated, proactive, and critical thinker.

• At least Upper-Intermediate English; fluent in Ukrainian.

   

Key Responsibilities:

• Create rock-solid reports and clear, interesting data visualizations.
• Develop a deep understanding of the data architecture, its related datasets, and the interactions between them.
• Collaborate across multi-functional teams.
• Automate frequent reporting requests to maximize efficiency.
• Collaborate with internal stakeholders to gather and clarify business and reporting requirements.
• Analyze complex transactional data to uncover insights and inform model design.
• Build and maintain dimensional data models tailored for reporting and self-service BI.
• Develop interactive dashboards and reports that help drive decision-making across the business.
• Serve as the go-to person for aligning business needs with data-driven solutions.

Why join Empeek? ✨

• Challenging & meaningful products — complex architectures, modern technologies, and solutions that truly make an impact.
• Professional growth — personal development plan, mentorship, career maps, and opportunities to grow into new roles and responsibilities.
• Strong team culture — we share the same mission, values, and passion for what we do.

• Flexibility & ownership — freedom to choose your format and schedule, focus on results, and have a real impact on the company’s success.

   

Hiring process: → Interview with Recruiter (up to 30 min) → Technical interview (up to 60 min) → Interview with PM (up to 30 min)→ Client interview (up to 1 hour) → Offer 🥳

Working hours: Partial overlap with the client’s working hours — the first half of the day is flexible, while 16:00 to 20:00 (Kyiv time) is fixed.

What we offer:

• Access to learning opportunities — internal and external training, certification reimbursement.
• 18 paid vacation days, 10 public holidays, and up to 10 paid sick days.
• Up to $300/year for English classes + free speaking club.
• Up to $180/year for sports activities.
• Mentorship and knowledge sharing — people you can really learn from.
• Career maps and growth plans to support your professional development.
• New equipment provision, and accounting support if needed.
• Internal mobility — the opportunity to switch roles and take on more responsibility.
• Competitive market-level salary with regular reviews.
• Additional perks and compensations such as insurance fund, gifts etc.
• Psychological safety and supportive culture.
• Company values that align with yours.
• Community and team-building activities for informal networking.
• Social responsibility — support for the Armed Forces.

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.

Are you passionate about turning data into actionable insights? We are looking for a Senior BI Engineer to join our Data & Analytics team and help shape reporting, dashboarding, and data-driven decision-making across diverse business and potentially government-related projects.

This is a Senior-level role with hybrid or remote work options, offering flexibility and opportunities to collaborate with talented professionals worldwide. The ideal candidate has strong hands-on experience with BI tools, advanced SQL, data modeling, and close collaboration with business stakeholders. This role requires not only technical expertise but also the ability to understand business needs, translate them into clear reporting solutions, and ensure data accuracy and reliability.

At Sigma Software, we value innovation, precision, and teamwork, and we provide a supportive environment where your expertise can make a real impact.

Why join us? You’ll work on meaningful projects, gain exposure to different domains, and enjoy benefits such as professional growth opportunities, a global team culture, and access to cutting-edge technologies.

Responsibilities:

— Design, build, and maintain BI reports and dashboards
— Analyze business requirements and translate them into reporting solutions
— Work with stakeholders to define KPIs, metrics, and data logic
— Write and optimize SQL queries
— Validate data accuracy and investigate inconsistencies
— Support data modeling and reporting layer improvements
— Collaborate with Data Engineers, Business Analysts, PMs, and customer-side stakeholders
— Prepare documentation for reports, metrics, and data sources
— Contribute to BI best practices within the unit

Requirements:

— 5+ years of experience in BI, data analytics, or data engineering-related roles
— Strong experience with Power BI, Tableau, Looker, or similar tools
— Advanced SQL skills
— Experience with data modeling, data structures, and data warehousing
— Understanding of ETL/ELT processes and data pipelines
— Experience with data cleaning, validation, and data quality control
— Ability to work with large datasets and complex business logic
— Good understanding of business reporting, KPIs, and dashboard design
— Experience working directly with stakeholders to gather requirements and clarify reporting needs
— Upper-Intermediate+ English level

Will be a plus:

— Experience with government, public sector, healthcare, finance, or other regulated domains
— Experience with Azure, AWS, Snowflake, BigQuery, Databricks, or Redshift
— Python or R for data analysis
— Experience with dbt, Airflow, Dagster, or similar tools
— Knowledge of data governance, access control, and compliance-related reporting
— Experience with Agile delivery

Чи захоплює вас перетворення даних на практичні інсайти? Ми шукаємо Senior BI Engineer, який приєднається до нашої команди Data & Analytics і допоможе формувати звітність, створювати дашборди та розвивати підхід до прийняття рішень на основі даних у різноманітних бізнес- та потенційно державних проєктах.

Це роль рівня Senior із можливістю гібридного або віддаленого формату роботи, що забезпечує гнучкість та можливість співпрацювати з талановитими професіоналами з усього світу. Ідеальний кандидат має значний практичний досвід роботи з BI-інструментами, поглиблені знання SQL, моделювання даних та досвід тісної взаємодії з бізнес-стейкхолдерами. Ця роль вимагає не лише технічної експертизи, але й здатності розуміти потреби бізнесу, трансформувати їх у зрозумілі рішення для звітності та забезпечувати точність і надійність даних.

У Sigma Software ми цінуємо інноваційність, точність і командну роботу та створюємо підтримуюче середовище, де ваші знання та досвід можуть мати реальний вплив.

Чому варто приєднатися до нас? Ви працюватимете над важливими проєктами, отримаєте досвід у різних доменах та матимете доступ до переваг, таких як можливості професійного розвитку, міжнародна командна культура та сучасні технології.

Обов’язки:

— Проєктувати, створювати та підтримувати BI-звіти та дашборди
— Аналізувати бізнес-вимоги та перетворювати їх на звітні рішення
— Працювати зі стейкхолдерами для визначення KPI, метрик та логіки даних
— Писати та оптимізувати SQL-запити
— Перевіряти точність даних та досліджувати невідповідності
— Підтримувати покращення моделювання даних та звітного шару
— Співпрацювати з Data Engineers, Business Analysts, PMs та стейкхолдерами з боку замовника
— Готувати документацію для звітів, метрик та джерел даних
— Вносити вклад у розвиток BI best practices у межах юніту

Вимоги:

— 5+ років досвіду у BI, data analytics або data engineering
— Досвід роботи з Power BI, Tableau, Looker чи подібними інструментами буде плюсом
— Просунуті навички роботи з SQL
— Досвід моделювання даних, роботи зі структурами даних та data warehousing
— Розуміння процесів ETL/ELT та data pipelines
— Досвід очищення, валідації та контролю якості даних
— Вміння працювати з великими наборами даних та складною бізнес-логікою
— Добре розуміння бізнес-звітності, KPI та дизайну дашбордів
— Досвід прямої роботи зі стейкхолдерами для збору вимог та уточнення звітних потреб
— Рівень англійської Upper-Intermediate+

Буде плюсом:

— Досвід роботи з урядовими, державними, медичними, фінансовими або іншими регульованими доменами
— Досвід роботи з Azure, AWS, Snowflake, BigQuery, Databricks або Redshift
— Python або R для аналізу даних
— Досвід роботи з dbt, Airflow, Dagster чи подібними інструментами
— Знання data governance, access control та звітності, пов’язаної з комплаєнсом
— Досвід роботи за Agile