Jobs Data Analyst

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

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

Customer

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

Project

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

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

Responsibilities

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

Requirements

• 3–4 years of experience in solving business problems and delivering actionable insights
• Good knowledge of Python and SQL
• Proven track record in delivering analytics projects using EDA and data analysis tools
• Experience with large datasets and ensuring data integrity
• Proficiency in data visualization tools (Tableau, Power BI, or similar)
• Experience working within Agile frameworks and collaborating with cross-functional teams
• Excellent time management and prioritization skills
• Upper-Intermediate level of English or higher

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

   

WILL BE A PLUS:

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

White Test Lab is looking for a Data QA Analyst to help us make our data reliable.
This is not a traditional QA role — you’ll work with messy, real-world data, identify issues, and help improve data quality at scale.
You’ll work directly with the Head of Data and CTO.

Requirements
Must-have:
 

• At least 1 year of commercial experience in manual software testing.
• Upper-intermediate English skills with the ability to understand native speakers – MUST.
• Experience with AI/ML systems testing
• Knowledge of data quality frameworks (accuracy, completeness, consistency, timeliness)
• Strong SQL
• Good understanding of CRUD extended operations
• Basic Python (reading/understanding code)
• Experience working with data (CSV, Excel, DBs)
• Strong analytical thinking
• Attention to detail

Nice to have:
 

• Pytest / test automation
• OCR / document parsing
• Financial data

Responsibilities
 

• Validate outputs from data pipelines (OCR → parsing → mapping → normalization)
• Analyze results (black-box approach: what’s correct vs incorrect)
• Use SQL to investigate issues and edge cases
• Identify patterns in errors, not just single bugs
• Assess impact and help prioritize fixes
• Read Python code to understand data processing
• Work with engineers to improve data quality

Tech stack
Postgres, Snowflake, Python, SQL, AI tools

What you’ll work on
 

• Financial data extraction from PDFs (OCR)
• Shareholder data extraction (OCR + regex)
• Classifying millions of companies into industries
• Other real-world data challenges

WHAT WE OFFER:
 

• Full-time remote position with stability and career growth opportunities.
• Ukrainian holidays off, plus paid vacation and sick leave.
• Compensation for English courses and sports activities.
• Access to an in-house English-speaking club.
• Accounting support and a proactive work environment.
• Engaging corporate events and team-building activities.

How to Apply:
If this role sounds interesting to you, we’d love to hear from you.
Please send your CV and a short note on why this role is a good fit for you.

We are looking for a Data / BI Analyst in iGaming to own analytics end-to-end: defining data requirements, ensuring data quality, building dashboards, and delivering actionable insights. You will work closely with Data Engineering, Product, CRM, Marketing, Risk, and Payments teams to analyze player behavior, payments, funnels, and product performance, turning data into strategic decisions.

Key Responsibilities:

• Define and document data requirements for events, databases, APIs, and Kafka topics
• Collaborate with Data Engineering on data collection, modeling, and ETL pipelines
• Build interactive, high-performance dashboards and reports in Tableau
• Conduct deep-dive analysis on player behavior, payments, funnels, and product metrics
• Ensure data accuracy, consistency, and reliability across all sources
• Provide ad-hoc insights and analytical support for internal teams

Requirements & Skills:

• 2–3+ years in BI, Data Analytics, or Product Analytics, preferably in iGaming
• Strong SQL skills (joins, windows, aggregates, subqueries, performance tuning)
• Advanced Tableau skills (LOD expressions, parameterized dashboards, filters, actions, publishing)
• Experience with event-based data, ETL/ELT pipelines, and data validation
• Understanding of iGaming metrics: casino & sportsbook events, payments, retention, churn

• Strong problem-solving skills, analytical mindset, and ability to translate business needs into data solutions

   

Nice to Have:

• Knowledge of tools like Airflow, DBT, Airbyte, GitHub/GitLab, Kafka topics
• Familiarity with Python for analytics or automation

Who are we

EXITEK, an AI-first company, is revolutionizing how photos are edited. With a mission to bring cutting-edge AI technology to the masses.

Team

The marketing team is responsible for the sustainable growth of our user base and revenue. The team’s core job includes strategy, budgeting, reporting, and driving strategic decisions.

Responsibilities:

• Develop internal marketing management and analytics platform;
• Implement revenue forecasting algorithms;
• Build ETL pipelines;
• Maintain existing PowerBI reports.

Requirements:

• Strong Data Analytics skills;
• Advanced Python and SQL skills;
• Experience with developing backend systems in Node, Typescript, etc;
• Background working with subscription based products and marketing data;
• Comfort using AI-assisted coding tools such as Cursor, Claude Code, and others;
• Ability to communicate with an English speaking team.

We seek a detail-oriented and motivated Data Analyst to join our dynamic team ✨ In this role, you will work with data, uncover insights, and support business decisions with meaningful analysis.
 

Requirements: 

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

• Experience building dashboards with visualization tools (Looker Studio, Tableau, Power BI);

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

and analyze data from relational databases;

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

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

them into data-driven solutions;

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

Would be a plus: 

• Proficiency in Google Sheets, including advanced formulas;

• Basic programming skills;

• Proficiency in LLMs usage in daily tasks;

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

automate workflows across multiple data sources;

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

We offer: 

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

• 18 working days of paid leave annually;

• Unlimited sick days;

• Salary review twice a year;

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

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

period);

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

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

• Medical insurance (after the trial period).

 

Interview Stages:

Screening Interview ➡️ Technical Interview ➡️ Job Offer
 

Department/Project Description

We are a global audience and location intelligence company that helps marketers connect the digital and physical world. We provide data-driven solutions to enhance marketing campaigns by leveraging location and audience data to reveal consumer behavior and enable more precise targeting and measurement. We work on high-end / high-performance / high-throughput systems for in-time analysis of data for autonomous driving and other big data applications e.g. for E-commerce.



Job Responsibilities

We are looking for a Data Analytics Architect to join our technical proficiency track. This is a highly technical, Individual Contributor (IC) role. You will act as the Technical Lead for your squad—making critical architectural decisions, defining engineering standards, and driving cross-squad collaboration—without the responsibilities of people management.

You will be the technical north star for the team, approaching extremely complex data problems with a rigorous software engineering mindset. You will design, build, and oversee production-grade data platforms that process massive volumes of geo-spatial data, audience attributes, and geo-location time-series data.


Job Description

7+ years of experience in Data Engineering, Analytics Engineering, or Backend Development with a deep focus on massive data systems.
 

Geo-Spatial & Time-Series Expertise: Proven, hands-on experience handling massive datasets specifically involving geo-spatial (GIS) data, audience attributes, and high-frequency time-series data.
 

Advanced Software Engineering (Python): Mastery of Python beyond standard data scripting. You write highly modular, object-oriented code. You have deep, practical experience with Test-Driven Development (TDD), mocking, exception handling, and performance profiling, functional programming.
 

Architectural Vision: Deep expertise in designing scalable data architectures using both relational and horizontally scalable data warehouses/lakehouses (e.g., Snowflake, Redshift, Athena, StarRocks, Iceberg). You deeply understand query execution plans, partitioning, clustering, and cloud cost governance.
 

Big Data Frameworks: Extensive experience with large-scale data processing frameworks (e.g., Apache Spark, PySpark, AWS EMR, Glue) to handle massive throughput.
 

Expert SQL & dbt: You design scalable, robust data models (using Jinja, macros, incremental strategies) that serve as the foundation for our entire analytics layer.
 

AWS Cloud Native & IaC: Hands-on experience building architectures in AWS (e.g.: AWS Lambda, AWS Batch, Glue, StepFunctions, S3, EC2, ECS, ECR, Fargate) and deploying them using Infrastructure as Code (Terraform).
 

Leadership Skills: Superb organizational and communication skills. You can distill complex architectural trade-offs for non-technical stakeholders and drive technical consensus among your engineering peers.

We are looking for a Lead BI Analyst to build and own the company’s operational data layer. This role sits within VP Operations and works at the intersection of sales, delivery, manufacturing, and finance, ensuring that the company operates on a single, consistent version of truth.
 

Lead BI Analyst will be responsible for designing and maintaining cross-functional dashboards, aligning data definitions, and providing actionable insights that support execution and decision-making across the business.

Responsibilities:

Business Intelligence & Insight Delivery:

• Designing and maintaining executive-level dashboards covering:
• Sales (pipeline, forecast, deals)
  Delivery (program status, capacity, execution)
  Operations (bottlenecks, performance)
• Translating fragmented data into clear, actionable insights.
• Highlighting inconsistencies across departments and driving alignment on metrics.

Cross-Functional Data Alignment:

• Working with Sales, Finance, and Operations teams to ensure consistent data definitions.
• Aligning metrics such as: forecast, committed revenue, delivery status
• Ensuring all stakeholders operate on a unified data model.

Dashboarding & Reporting:

• Building and maintaining dashboards using Power BI (or similar tools).
• Ensuring clarity, usability, and decision-making focus in all reports.
• Supporting both executive reporting and operational tracking.

Program & Execution Support:

• Supporting TPMs and PMs with data for program tracking.
• Building reporting for key initiatives (e.g., CRM rollout, new office launches, process changes).
• Providing visibility into risks, delays, and bottlenecks.

Data Integration & Quality:

• Working with existing BI / data teams to integrate data from:
• CRM systems
  ERP systems
  Operational tools
• Ensuring data accuracy, consistency, and timely updates.

Data Governance & Definitions:

• Establishing and maintaining a single source of truth.
• Defining key business metrics and ensuring adoption across teams.
• Driving standardization of reporting across departments.

Skills and Experience:

• 4–8+ years of experience in business intelligence, analytics, or reporting roles.
• Strong experience with BI tools (Power BI, Tableau, or similar).
• Advanced SQL skills and experience working with multiple data sources.
• Experience working with business stakeholders (not only data teams).
• Understanding of business processes across sales, operations, and delivery.
• Ability to identify inconsistencies and challenge data when needed.
• Strong communication skills and ability to present insights clearly.

Nice to Have

• Experience working in hardware, engineering, or manufacturing environments.
• Experience supporting operations, program management, or executive teams.
• Familiarity with CRM and ERP systems.
• Experience with data governance and metric standardization.
  
  The Company Offers: 
• Official employment with a competitive salary and clear, transparent cooperation terms. 
• Paid vacation (24 calendar days per year) and unlimited paid sick leave. 
• Medical insurance for employee and their family. 
• Reservation from mobilization. 
• Support for professional development. 
• A team of like-minded professionals working toward a common goal. 

In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better.
We are now looking for an Integration Engineer to make the Integration process at Competera clear, consistent, and repeatable.

You could be a perfect match for the position if
You want to:

• Organize technical integration between Competera Pricing Platform and customers;
• Communicate with customers’ IT and commercial teams in their business hours;
• Supervise integration partners (contractors) and assist them with ETL creation and support;
• Maintain data validation (analyze, validate, troubleshoot data issues) and suggest options for process improvement and automation.

You have:

• SQL (mid +);
• Upper-intermediate level of English;
• Transformation from business request to technical requirements;
• Presentation and business communications skills Critical thinking, problem-solving, Quick learner;

• Ability to work under minimal guidance;

  Requirements (extra):

• Basic Core Python, Airflow;
• Experience with retail, enterprise customers.

You’re gonna love it, and here’s why:

• Rich innovative software stack, freedom to choose the best suitable technologies;
• Remote-first ideology: freedom to operate from the home office or any suitable coworking;
• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on;
• Regular performance and compensation reviews;
• Recurrent 1-1s and measurable OKRs;
• In-depth onboarding with a clear success track;
• Competera covers 70% of your training/course fee;
• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays;
• 20 business days of sick leave;
• Partial medical insurance coverage.

Drive innovations with us. Be a Competerian.

Project overview

The project focuses on building and evolving a cloud‑based Business Intelligence platform using Qlik Cloud to support enterprise reporting, analytics, and self‑service data exploration. The work emphasizes data modeling, dashboard development, semantic layer design, and ensuring trusted, governed insights for business and operational stakeholders.

Team

You will work in a cross functional team including software engineers, QA specialists, and cloud engineers. The team collaborates in an Agile setup with shared responsibility for infrastructure, delivery pipelines, and platform stability.

Position overview

We are looking for a BI Engineer with hands‑on experience in Qlik Cloud to design, develop, and maintain business intelligence solutions. You will work closely with data, business, and platform teams to transform data into actionable insights, enabling decision‑making across the organization. The role combines strong analytical thinking with BI development, data modeling, and stakeholder collaboration.

Technology stack

Qlik Cloud Qlik Sense SaaS, Qlik Data Integration, SQL, PostgreSQL, SQL Server, Snowflake, BigQuery, Azure Cloud data platform, REST APIs, flat file integrations, Git

Responsibilities

• Design, develop, and maintain Qlik Cloud dashboards, applications, and reports
• Translate business requirements into clear data visualizations and KPIs
• Develop reusable measures, dimensions, and analytical data models in Qlik
• Create and maintain Qlik load scripts to ingest and transform data from multiple sources
• Ensure performance, usability, and scalability of Qlik applications
• Apply Qlik Cloud best practices for governed and self service analytics
• Collaborate with business stakeholders to understand reporting and analytics needs
• Support BI releases, enhancements, and ongoing improvements across environments
• Optimize existing dashboards and data models for clarity and performance
• Contribute to BI standards, templates, and development guidelines
• Stay informed about new Qlik Cloud features and analytics trends

Requirements

• 2 to 5 years of experience in a BI Engineer, BI Developer, or Analytics Engineer role
• Hands on experience with Qlik Cloud Qlik Sense SaaS
• Strong SQL skills and experience working with relational databases
• Experience designing analytical data models and KPIs
• Understanding of data visualization principles and dashboard UX
• Ability to work closely with business users and translate requirements into insights
• Strong analytical and problem solving skills

Nice to have

• Experience with Qlik Data Integration or other ETL or ELT tools
• Exposure to cloud based data warehouses
• Experience with data governance or data quality initiatives
• Basic scripting or automation experience
• Familiarity with CI CD concepts for BI assets
• Experience supporting enterprise or regulated environments

At the Kyivstar Big Data team, this role sits at the intersection of data, marketing and business impact. You will turn Big Data insights into practical targeting strategies that improve campaign performance and reinforce the value of data-driven marketing. This is a research-led advisory role focused on analysis, learning and influence rather than campaign setup or execution.

Responsibilities

•Analyze client briefs and business objectives to develop audience hypotheses and targeting approaches

•Research and map potential audience sources (events, apps, websites, behavioral signals, etc.)

•Recommend optimal audience selection and segmentation for promo campaigns

•Analyze campaign performance and convert results into actionable insights and improvement steps

•Prepare analytical briefs and requirements for Data Analysis team when deeper analysis is needed

•Build and maintain an internal knowledge base of audiences, use cases and proven targeting practices

•Advise B2B sales teams and clients on effective targeting strategies and realistic performance expectations

•Improve campaign quality through audits, post-analysis and structured recommendations

Requirements

•2+ years in digital marketing, media, research or other data-driven marketing environments

•2+ years’ experience in campaign analysis, marketing analytics, customer communications analysis or insights roles

•Strong analytical mindset with experience forming and testing hypotheses

•Ability to translate campaign data into clear, practical business recommendations

•Basic SQL is a plus

•Experience with CRM/direct channels (SMS, email, push, etc.) is a plus

•Strong interest in audience behavior, segmentation and decision drivers

•Ability to ask sharp questions, structure information and explain insights in simple business language

•Proactive, self-driven and comfortable working in a consultative, cross-functional environment

We offer

•A rare opportunity to help build a new data-driven business direction within Ukraine’s leading mobile operator

•Remote-first format with optional office visits

•Competitive salary plus performance bonus

•Paid vacation and sick leave

•Flexible working hours

•Comprehensive medical and life insurance

•Professional growth and career development opportunities

•A friendly, supportive and collaborative team

🚀 About Us

We’re building a next-generation iGaming platform where data drives everything-from player experience to risk management and growth.

We move fast, ship often, and rely heavily on real-time insights, AI, and experimentation. Now we’re looking for a Senior BI Analyst to take our data capabilities to the next level.

💡 The Role

This is a high-ownership, hands-on role where you’ll design and build the entire BI layer of the company.

You won’t just create dashboards-you’ll shape how we understand players, optimize revenue, detect fraud, and scale intelligently.

You’ll work across the stack:

• Data pipelines
• Data models
• Tableau dashboards
• AI-driven insights
• Privacy-first analytics (MPC)

🧠 What You’ll Own📊 Tableau & BI (Your Core Playground)

• Build and scale Tableau dashboards people actually use
• Own everything from data modeling → visualization → performance
• Create dashboards for:
  • Player behavior & retention
  • LTV & segmentation
  • Bonus / promo performance
  • Fraud & risk signals
• Push Tableau to its limits (LOD, APIs, embedded analytics, RLS)

🔗 Data Integration (Messy → Clean → Powerful)

• Bring together data from everywhere:
  • Gaming engines
  • Payments
  • CRM & marketing tools
• Build robust ETL/ELT pipelines
• Create clean, scalable data models that analysts love

🤖 AI-Driven Insights

• Work closely with data science to:
  • Put ML models into production dashboards
  • Surface predictions (churn, LTV, risk)
• Experiment with:
  • Automated insights
  • Natural language querying
  • Real-time anomaly detection

🔐 Privacy & MPC (Where It Gets Interesting)

• Help us implement privacy-first analytics
• Work with Multi-Party Computation (MPC) and secure data sharing
• Enable insights across partners without exposing raw data

🤝 Work Across the Company

• Partner with:
  • Backend engineers (data pipelines, APIs)
  • Frontend/product teams (tracking, features)
  • BI analysts (insights & reporting)
• Turn messy business questions into clean, scalable data solutions

⚙️ Build It Right

• Set standards for:
  • Data quality
  • Dashboard performance
  • BI best practices
• Introduce versioning, testing, CI/CD for BI if it’s missing

🛠️ What You BringMust-Have

• 5+ years in BI / Data / Analytics Engineering
• Deep Tableau expertise (not just charts—architecture & performance)
• Strong SQL + solid data modeling skills
• Experience working with multiple messy data sources
• Python (or similar) for data work
• Experience with cloud data warehouses (Snowflake / BigQuery / Redshift)

Big Bonus Points

• iGaming / betting / high-scale transactional experience
• Experience embedding ML into BI
• Exposure to privacy tech / MPC
• Familiarity with modern data stack (dbt, Airflow, etc.)
• Real-time data experience

🧠 How You Work

• You take ownership-no waiting for perfect specs
• You care about impact, not just output
• You can talk to engineers and business stakeholders
• You simplify complexity and make data usable

🎯 What You’ll Impact

• Faster, better decisions across the company
• Improved player retention & revenue
• Smarter fraud detection
• A BI stack that actually scales

🎁 What You Get

• Real ownership (you’ll shape the BI function)
• Work on AI + modern data stack + privacy tech
• Fast-moving, no-bureaucracy environment
• Competitive salary + flexibility

🎲 Why This Role is Different

Most BI roles stop at dashboards.

This one doesn’t.

You’ll be building a modern data brain for the company-combining:

• BI
• Data engineering
• AI
• Privacy-first analytics

PSV Game Studio is an international product company that creates and develops an ecosystem in the field of mobile gaming.

Our portfolio includes successful kids’ and casual mobile games enjoyed by millions of users around the world every day.

In addition to games, we are actively developing our own mediation platform, CAS.AI, which is already integrated into dozens of apps and provides stable monetization for developers.

We are now strengthening our team and looking for a Product Analyst who is passionate about games and will help us make data-driven decisions.

What are you working on?

• Genres: Puzzle, Racing, Casual, Hyper-casual, Kids Games

• Platforms: Mobile, Android

   

Responsibilities

• Leading a team of 3+ people.
• Building processes from scratch.
• Developing dashboards.
• Analyze product audiences and uncover data-driven insights.
• Translate insights into actionable recommendations to improve the product.
• Define requirements for data collection, processing, and aggregation.
• Design and run A/B tests (sample size calculation, timelines, effect size estimation, key metrics definition, and user group allocation logic).
• Create and maintain analytics documentation.
• Participate in all stages of product feature ideation and development.
• Automate routine analytical tasks within the team.

• Collaborate closely with game designers, producers, marketing, user acquisition, and the mediation team.

   

Who are we looking for?

• At least 2 years of experience on a similar role in a product company (experience in gamedev, but not mandatory).
• Working with mobile app data.
• Hands-on experience with Google BigQuery and Firebase (required).
• Experience with PostgreSQL and ClickHouse is a strong advantage.
• Proficiency with data visualization tools and BI platforms (Tableau, Power BI, Looker, etc.).
• Ability to forecast and analyze key metrics, calculate ROI, ARPU, LTV, and similar KPIs.
• Experience defining and tracking product and game metrics, as well as running A/B tests.
• Solid understanding of basic mathematical statistics.

• Experience with raw advertising event data would be a plus.

   

Why we enjoy working here

• Work on products and technologies used by millions of players.
• Real influence on processes and product development.
• Flexible schedule and the ability to work remotely.
• Opportunity to impact the development of our mediation platform with a large user base.

• Minimal bureaucracy — maximum efficiency.

   

Soft Skills:

• Strong analytical mindset.
• Ability to quickly switch between tasks and priorities.
• Flexibility and adaptability.
• High level of self-organization.
• Team player mentality.
• Attention to detail.

• Ability to make decisions and take ownership of their outcomes.

   

Conditions and benefits

• Remote work format.
• Full-time, flexible schedule.
• Salary growth based on performance.
• Tax compensation.
• Accounting support.
• Paid vacation and sick leave.
• Compensation for sports, English lessons, and professional courses.

PSV Game Studio is an international product company that creates and develops an ecosystem in the field of mobile gaming.

Our portfolio includes successful casual mobile games enjoyed by millions of users around the world every day.

In addition to games, we are actively developing our own mediation platform, CAS.AI, which is already integrated into dozens of apps and provides stable monetization for developers.

We are now strengthening our team and looking for a Product Analyst who is passionate about games and will help us make data-driven decisions.

What are you working on?

• Genres: Puzzle, Racing, Casual, Hyper-casual, Kids Games

• Platforms: Mobile, Android

   

Responsibilities

• Analyze product audiences and uncover data-driven insights.
• Translate insights into actionable recommendations to improve the product.
• Define requirements for data collection, processing, and aggregation.
• Design and run A/B tests (sample size calculation, timelines, effect size estimation, key metrics definition, and user group allocation logic).
• Create and maintain product analytics documentation.
• Participate in all stages of product feature ideation and development.
• Automate routine analytical tasks within the team.

• Collaborate closely with game designers, producers, marketing, user acquisition, and the mediation team.

   

Who are we looking for?

• At least 2 years of experience in a product company (experience in gamedev or mobile applications is a plus, but not mandatory).
• Hands-on experience with Google BigQuery and Firebase (required).
• Experience with PostgreSQL and ClickHouse is a strong advantage.
• Proficiency with data visualization tools and BI platforms (Tableau, Power BI, Looker, etc.).
• Ability to forecast and analyze key metrics, calculate ROI, ARPU, LTV, and similar KPIs.
• Experience defining and tracking product and game metrics, as well as running A/B tests.

• Solid understanding of basic mathematical statistics.

   

Why we enjoy working here

• Work on products and technologies used by millions of players.
• Real influence on processes and product development.
• Flexible schedule and the ability to work remotely.
• Opportunity to impact the development of our mediation platform with a large user base.
• Minimal bureaucracy — maximum efficiency.

Soft Skills:

• Strong analytical mindset.
• Ability to quickly switch between tasks and priorities.
• Flexibility and adaptability.
• High level of self-organization.
• Team player mentality.
• Attention to detail.

• Ability to make decisions and take ownership of their outcomes.

   

Conditions and benefits

• Remote work format.
• Full-time, flexible schedule.
• Salary growth based on performance.
• Tax compensation.
• Accounting support.
• Paid vacation and sick leave.
• Compensation for sports, English lessons, and professional courses.

At Promova, we’re redefining language education for the AI-powered era — making learning accessible, personal, and inspiring for millions of people worldwide. Our 150+ teammates unite around one mission: to connect people, bridge cultures, and empower lifelong learners — in every country except aggressor states (yes, even Antarctica).

We blend AI innovation with human creativity to help people speak with confidence and truly belong anywhere. If you want to test bold ideas, move fast, and make an impact — you’ll feel right at home.

About the Role

We are looking for a Marketing Analyst to become the owner of our LTV forecasting models and help scale our marketing through data. At Promova, forecasting is a key business function that helps us grow safely and profitably.

In this role, you will not be starting from scratch or doing basic research. You will take ownership of a proven and production ready forecasting infrastructure that is already part of our daily operations. Your goal is to keep it accurate, stable, and ready to scale.

Why This Role is Your Next Challenge

• Direct Business Growth: Your work is the “green light” for our growth. You will own the data that tells us exactly where and how much to invest in marketing to scale the business safely.
• AI-First Culture: You won’t be figuring out AI alone. We have a dedicated squad focused on AI adoption and a full setup ready to use: Claude Desktop connected to Tableau, Notion, and our internal data sources, etc.
• Multiproduct Ecosystem: You’ll have the autonomy to adapt our proven forecasting logic for new products. Rather than starting from scratch, you’ll tailor what already works so our new apps can scale from day one.

What We’re Looking for

Core experience:

• Advanced SQL proficiency for querying and analyzing large datasets.
• Strong Python skills for data manipulation and supporting model logic.
• Solid understanding of statistics: probability, time series and experiment design.
• Hands-on experience with BI tools (Tableau or Amplitude) to visualize complex data.

Bonus points:

• Experience in subscription-based products (web and/or mobile).

What You Will Do

• Own the LTV Forecast: take full ownership of the core predictive model, keeping it stable, monitored, and optimized so every marketing dollar is backed by accurate data.
• Scale New Products: lead the development and launch of forecasting models for upcoming products and experimental projects from the ground up.
• Ad-hoc & Deep-dive Analytics: answer urgent business questions, investigate anomalies, and share actionable insights to optimize campaigns.
• Automation & Data Quality: partner with Data Engineers to improve pipelines, automate analytics, and ensure our data is high quality.
• Document Methodology: maintain clear documentation of our models and logic.

Corporate Benefits

🎓Growth — offered to help develop your skills, advance your career, and reach your full potential: сompensation for additional training at external events and seminars; access to a large electronic library; paid online courses and conferences;

🧘🏼Wellbeing — offered to support your overall health, happiness, and resilience: work remotely from any safe location worldwide; flexible work schedule; 20 paid vacation days per year; an unlimited number of sick days, medical insurance coverage; mental health support; power station reimbursement; employee discounts and special benefits for remote employees.

🏄🏼‍♂️Fun & Activities — offered to foster informal communication and strengthen social connections among teammates: remote team compensation for gathering and team-building episodes.

Interview Process

• Intro-call with Recruiter
• Meeting with the Hiring Manager
• Test Case
• Bar-raising

Interested? Apply now and let’s make the growth happen!

Requirements

• 2+ years of experience in product, web, or data analytics;
• Strong SQL skills and experience working with large datasets;
• Experience with web analytics and event-based tracking;
• Understanding of product funnels, conversion metrics, and user behavior analysis;
• Experience with data validation, reconciliation, and data quality control;
• Ability to build dashboards and translate data into actionable insights;
• Good understanding of ETL processes and data structures.

Will be plus:

• Experience in iGaming, fintech, or other high-load digital products;
• Experience with fraud, bonus abuse, or suspicious user behavior analysis;
• Knowledge of A/B testing and experiment analysis;
• Experience with BI tools such as Tableau, Power BI, or Looker;
• Familiarity with Python for analytical tasks;
• Experience working with clickstream data.

Responsibilities

• Control of tracking completeness and event data quality across the website;
• Analysis of key product funnels and user behavior;
• Identification of UX friction points and growth opportunities;
• Monitoring of data quality and investigation of discrepancies across sources;
• Analysis of suspicious user behavior and abnormal activity patterns;
• Preparation of dashboards, reports, and analytical findings for product teams;
• Documentation of metrics, event logic, and data definitions.