Jobs Data Analyst

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

We are looking for a unique professional who combines a systemic understanding of HR processes with a passion for deep data analysis. We have a vast amount of scattered information that needs to be collected, cleaned, structured, and transformed into clear, actionable dashboards for the business. 

The split of tasks in this role is 70% Data Analytics and 30% HR Administration. We are not looking for someone who just knows how to build basic pivot tables. We need a hardcore analyst capable of taming any raw data array. 

Responsibilities

Tech Stack

Deep understanding of data arrays, and complex matrix formulas. 

Mandatory (ETL processes, data cleaning, normalization, and building relationships between tables). 

Creating interactive dashboards for C-level management. 

Key Responsibilities 

Working with databases

Maintaining HR metrics

Administration of the Hurma HR module

Cleaning, normalizing, and preparing raw data arrays for analysis using Power Query. 

Working with large data volumes and building robust data models in Power Pivot. 

Developing, updating, and maintaining automated dashboards in Power BI to reflect real-time team metrics. 

Administration

Maintaining internal HR databases and updating employee statuses. 

Administering operational HR processes (preparing reports, coordinating internal requests). 

Helping to optimize and automate current HR routines (shifting manual processes into digital solutions). 

Requirements:

 2–3+ years of commercial experience as an HR Analyst, People Analyst, Data Analyst, or an HR Administrator with a heavy emphasis on data analytics. 

Expert Excel Proficiency: Power Query, Power Pivot, and advanced data array manipulation must be your daily tools, not just keywords in your resume. 

Proven experience building clear, clickable dashboards in Power BI. 

 Solid understanding of basic HR metrics and IT company processes.

 Soft Skills: Exceptional attention to detail (able to spot an error in 10,000 rows of data), systemic thinking, ability to work independently, and the skill to explain numbers in plain language.

About BITHIDE SOLUTION

BitHide is an enterprise-grade crypto wallet for businesses worldwide, created in response to market needs. Around 10 years, we’ve been building secure, scalable, and privacy-focused crypto payment infrastructure, operating in 5 countries with a global team.

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 a Senior Data Analyst to join our analytics team and help business teams make stronger decisions through reliable data, clear insights, and scalable reporting solutions.

This role is a good fit for someone who is ready to take ownership beyond dashboard development: deeply understand business needs, challenge and clarify requirements, investigate data discrepancies, identify trends and anomalies, evaluate product and marketing performance, and translate complex data into actionable recommendations.

Job Description:

• Own end-to-end analytical and reporting solutions: from business request clarification to data investigation, dashboard delivery, validation, and further optimization;
• Build, maintain, and optimize automated reports and Tableau dashboards for business, product, marketing, and regional teams;
• Monitor data quality by ensuring accuracy, consistency, and reliability of data across reports, dashboards, and reporting layers;
• Identify, investigate, and resolve data discrepancies across data sources, dashboards, and business metrics;
• Collaborate closely with stakeholders to clarify requirements, define success criteria, align metric logic, and ensure correct interpretation of data;
• Analyze product and marketing performance, highlighting trends, anomalies, risks, and growth opportunities;
• Analyze traffic efficiency, including ROI, LTV, conversion, retention, and funnel performance, to support data-driven decision-making;
• Transform business questions into clear analytical approaches, reporting solutions, or actionable recommendations;
• Improve reporting processes, optimize dashboard performance, and contribute to the scalability and usability of the analytics infrastructure;
• Proactively identify areas where analytics can improve business efficiency, decision-making, or operational visibility;

• Support less experienced analysts by sharing best practices in SQL, Tableau, data validation, and stakeholder communication.

   

Qualifications:

• 3-5 years of experience in data analytics, BI, product analytics, marketing analytics, or business analytics;
• Strong hands-on experience with Tableau: dashboard development, optimization, data source management, and performance improvement;
• Advanced SQL skills: ability to write complex analytical queries, work with multiple data sources, optimize queries, and validate data logic;
• Strong understanding of business, product, or marketing metrics: ROI, LTV, conversion, retention, funnels, traffic quality, and performance dynamics;
• Experience in translating business problems into analytical solutions and clear recommendations;
• Strong data quality mindset: attention to metric logic, consistency, accuracy, and reliability;
• Experience working directly with stakeholders: requirements gathering, expectation management, presenting results, and explaining insights;
• Ability to work independently, manage tasks end to end, and prioritize in a dynamic environment;
• Strong analytical thinking and ability to investigate ambiguous or complex business questions;
• Proficiency in Ukrainian or Russian for internal communication;

• English level: Pre-Intermediate or higher.

   

Nice to have:

• Experience in iGaming, fintech, B2C products, affiliate marketing, or high-volume digital products;
• Experience in performance marketing or traffic analysis;
• Understanding of attribution, forecasting, cohort analysis, or A/B testing;
• Experience with Python for data analysis or automation;

• Experience mentoring analysts or improving analytics processes.

   

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.

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.

Real Data. Real Decisions. Real Product Impact.

Let’s Start With a Hello 👋

We're looking for a Product Analyst who loves turning data into meaningful product decisions.

If you're passionate about understanding user behavior, uncovering growth opportunities, and helping teams build better products through analytics—we'd love to meet you.

Who We Are

We're an international iGaming & Entertainment company building and scaling products across global markets.

Our mission is simple:
Create engaging products, deliver outstanding player experiences, and make every business decision backed by data.

Our culture?

• Fast-moving and product-driven.
• Data over assumptions.
• Experiment, learn, improve.
• Teamwork without bureaucracy.

What You'll Be Doing

• Analyze user behavior across the entire customer journey.
• Monitor key product and business metrics.
• Build dashboards and reports for Product, CRM, Marketing, and Management teams.
• Identify growth opportunities through funnel and cohort analysis.
• Evaluate product launches, promotions, and new features.
• Design and analyze A/B tests.
• Generate actionable insights that improve retention, engagement, and monetization.
• Work closely with Product Managers, CRM, Marketing, BI, and Engineering teams.
• Present analytical findings and recommendations to stakeholders.

What Makes You a Great Fit

• 2+ years of experience as a Product Analyst or Data Analyst in a product company.
• Strong SQL skills.
• Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or similar.
• Solid understanding of product analytics, funnels, cohorts, retention, and experimentation.
• Strong analytical mindset with the ability to transform data into business decisions.
• Excellent communication and presentation skills.
• Upper-Intermediate English or higher.

Bonus Points

• Experience in iGaming, Betting, FinTech, Gaming, or Consumer Subscription products.
• Experience with Amplitude, Mixpanel, GA4, BigQuery, ClickHouse, or Python.
• Knowledge of A/B testing methodologies and statistical analysis.
• Experience working with CRM and retention analytics.

What’s In It For You

• Fully remote work.
• Flexible working hours.
• Competitive salary.
• International product environment.
• Opportunity to influence product strategy with data.
• Career growth in a rapidly scaling company.
• Friendly, ambitious, and collaborative team.

Let’s Wrap It Up

If you're excited about solving product challenges with data, influencing business decisions, and helping millions of users enjoy better experiences—we'd love to hear from you.

Let's build smarter products together.

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)

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.

Impulse is a brain training app that helps people keep their brains sharp with bite-sized fun games and logic puzzles. Impulse is the world’s most downloaded app in the Brain Training category with over 100 million downloads. The app is trusted by users worldwide, with a 4.7 rating on the App Store, and has been featured as App of the Day in over 50 countries, including the UK, Canada, and Australia.

Impulse is a part of Headway Inc, a global tech company that revolutionizes lifelong learning by creating digital products for over 150 million users worldwide. Our mission is to help people grow. We’re proud to be ranked 4th among the World’s Top EdTech Сompanies by TIME magazine.

The core of our achievements is our team. That’s why, together with Liana, Operations Manager at Impulse, we’re looking for an Operations Analyst to join our team of superstars. Today, our operations team is also a key contributor to Impulse's global achievements. So we are seeking someone who is passionate about optimizing processes, exploring new tools, and helping teams work more efficiently — someone who enjoys combining research, documentation, and a bit of analytics to make a real impact.

This job is perfect for you if you want to:

• Directly impact business results and contribute to the growth of a leading product in its niche. Your ideas and actions will shape operational workflows and drive real improvements in team efficiency.
• Be part of an EdTech company building socially impactful products for international markets. You’ll work on solutions that matter and make a difference beyond the business itself.
• Collaborate with purpose-driven professionals who value teamwork and shared success. You’ll work closely with different teams, exchange insights, and co-create new approaches.
• Gain hands-on experience with cutting-edge tools for automation, process management, and AI-driven solutions. You’ll research, test, and integrate tools that unlock new levels of productivity.
• Thrive in a culture of freedom and autonomy, where your initiative and creativity are appreciated.
• Grow in a supportive professional team, where it’s safe and easy to learn, experiment, and advance your skills.
• Escape routine tasks. Instead, you’ll dive deep into diverse processes, collaborate across functions, and find creative solutions for complex challenges that improve the efficiency of the whole company.

What you will do:

• Analyse team processes and share recommendations to improve efficiency and productivity.
• Collaborate with team managers, domain experts, and top management to enhance both new and existing processes.
• Stay up to date with tool updates and create automations to optimize existing technical workflows.
• Work with documentation and analytics to ensure accuracy, clarity, and continuous improvement.
• Conduct team surveys — design questionnaires, collect feedback, analyze results, and highlight bottlenecks.
• Manage system access, documentation workflows, and process compliance.
• Research and test tools, software, and AI solutions to support marketing and operational needs.
• Provide daily operational support to the marketing team, ensuring smooth workflow and task execution.

What do you need to join us:

• 1+ years in operations, analytics, or process management.
• Confidence with Excel/Google Sheets and working with large datasets.
• Analytical mindset and problem-solving skills.
• Proactive, curious, and ready to learn fast.
• Comfortable working in a dynamic, multitasking environment.
• English: Upper-intermediate or higher.
• Passion for AI technology, with a habit of integrating AI tools into your daily workflow or learning journey.
• Basic programming or workflow automation skills would be a significant advantage.
• Alignment with the values of our team (more about us - here).

What do we offer:

• Work within an ambitious team on a socially impactful education product.
• An office with a reliable shelter, generators, satellite internet, and other amenities.
• Access to our corporate knowledge base and professional communities.
• Personal development plan.
• Compensation for English language learning, external training, and courses.
• Medical insurance and full sick leave compensation.
• Company doctor and massage in the office.
• Sports activities: running, yoga, boxing, and more.
• Corporate holidays.
• Supporting initiatives that help Ukraine. Find out more about our projects here.

Working schedule

This is a full-time position with a hybrid remote option. It means that we will prefer you to attend our Kyiv office 2-3 times per week.

Sounds like you?
We’d love to hear from you — send us your CV!

We are looking for a Senior Data Analyst. 

This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus (one or more)

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If scoring quality drifts or a provider degrades, you notice it and drive the fix without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If external data shifts or an API changes, you build around it instead of blaming the provider.
• Get It Done: You prioritize shipping answers. You know when to send a rough estimate and when to build a proper framework.
• Openness: You share findings and admit mistakes openly — both wins and failures travel across the team. If you spot a better way to do something, you volunteer it without being asked.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

Are you passionate about transforming complex datasets into actionable insights that shape strategic decisions? This Senior Data Analyst role offers the chance to work on cutting-edge pricing optimization projects for global retail brands, leveraging advanced analytics to drive measurable business impact.

We at Sigma Software are looking for a Senior Data Analyst to join our Data Analytics and Pricing Optimization team. The role is senior-level, full-time, and based in Ukraine, Europe, with flexibility to collaborate with international teams.

Why join us? You’ll work alongside Data Scientists on innovative pricing experiments, contribute to projects that influence market positioning worldwide, and be part of a company that values innovation, global reach, and professional growth.
CUSTOMER
Our customer is a leading retail technology company specializing in pricing optimization software. They partner with global retailers to enhance profitability and competitiveness through data-driven strategies and advanced pricing models. Known for their innovative approach, they deliver solutions that combine business intelligence with cutting-edge algorithms to maximize value for clients.
PROJECT
The project involves implementing and optimizing a sophisticated pricing platform for large-scale retail operations. You’ll work on aligning platform capabilities with client needs, designing pricing experiments, and ensuring adoption through training and support.

Key Technologies: SQL, Python/R, Power BI, Tableau, Looker, Revionics, DemandTec

Job Description

• Analyze business and pricing processes to identify optimization opportunities
• Conduct discovery sessions to understand client needs and processes
• Recommend improvements based on best practices
• Align platform capabilities with client requirements
• Design and validate pricing experiments with Data Scientists
• Configure pricing platform for optimal client setup
• Deliver user training and ongoing support
• Monitor pricing performance and share insights
• Drive user adoption and recommend strategies to maximize platform value

Qualifications

• 5+ years in pricing analytics, data analysis, or related field
• Strong analytical and problem-solving skills
• Proficiency in Excel/Google Sheets and BI tools (Power BI, Tableau, Looker)
• Advanced SQL skills and proficiency in Python or R
• Understanding of data structures, modeling, and warehousing
• Experience in data cleaning and quality assurance
• Proven delivery of impactful analytics solutions
• Knowledge of market analysis, customer segmentation, and psychological pricing
• Excellent communication and stakeholder management skills
• Upper-Intermediate English or higher

WILL BE A PLUS

• Pricing strategy experience (cost-plus, value-based, competitive models)
• Dynamic pricing and price elasticity analysis
• AI/ML applications in pricing
• Familiarity with pricing intelligence tools
• Experience with retail pricing software
• Knowledge of pricing-related legal restrictions

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.

At A-Players, we are building a new AI product in the mental health and mindfulness space - and we are looking for a Data & Marketing Analyst who will own the analytics layer from day one.

We are not building analytics after the fact. We are building it before the first ad goes live. That means clean tracking from day one, attribution that reflects reality, and dashboards the performance team opens every morning - not once a quarter.

In practice, you will set up the full tracking infrastructure from scratch, own the attribution model, connect marketing spend to real revenue, and keep LTV and retention metrics current and trustworthy. You will work side by side with the performance marketing team.

You will be the dedicated analyst on this product. Around you is a mature data team of 10+ people across Data Analytics, Data Engineering, Data Science, BI, and AI, as well as shared infrastructure including BigQuery, dbt, Tableau, and GA4.

This role is a fit if you have navigated the full analytics stack at a fast-moving web subscription product, know what it takes to build trust in data from scratch, and want to do meaningful work on something that is just getting started.

Responsibilities

• Build the web tracking foundation for the product. Set up GA4 and GTM, both client-side and server-side, from scratch: UTM conventions, dataLayer schema, event deduplication, and attribution windows.
• Implement server-side conversions for paid channels, including Meta CAPI, Google Enhanced Conversions, and TikTok Events API.
• Build and maintain a web attribution model that connects marketing spend to actual revenue, and deliver channel-level LTV and CAC analysis.
• Design and own Tableau dashboards for acquisition metrics, including CAC, ROAS, and channel mix; funnel metrics, including registration → first purchase → repeat purchase; retention metrics, including cohorts and LTV curves; and financial overview.
• Support the performance marketing team with ad-hoc SQL analysis and Python scripts for automation.
• Design and analyze A/B tests across the funnel, document results, and help drive action based on findings.
• Document tracking conventions and data definitions in the knowledge base.

What we look for

• 3+ years of experience as a Data Analyst, Web Analyst, or Marketing Analyst working with web subscription or e-commerce products.
• Strong web analytics expertise, including funnels, attribution, tracking logic, and marketing performance measurement.
• Experience working with performance marketing data. 
• Experience working with raw and semi-processed data from Facebook Ads, Google Ads, TikTok Ads, or similar platforms, including data validation and cleanup.
• Strong understanding of subscription business metrics, including LTV, cohorts, retention, recurring revenue, CAC, and payback period.
• Experience setting up web tracking from scratch at least once, for example for a new product, new funnel, or new market.
• Advanced SQL: window functions, CTEs, query optimization, and working with complex datasets.
• Proficient Python: pandas, NumPy, analysis scripts, and basic automation.
• Experience with BI tools such as Tableau, Looker, Power BI, or similar.
• Comfortable working with ambiguity and building structure where it does not yet exist.
• Open, clear, and proactive communication style.
• High level of ownership and initiative.

Nice to have

• Hands-on experience with GA4.
• Hands-on experience with GTM, including client-side and server-side implementation.
• Experience working with PSP data.
• A/B testing experience.
• Tableau experience: dashboards, calculated fields, parameter actions.
• BigQuery experience: large datasets, cost optimization, and performance optimization.
• Experience with dbt.

We Offer

• Full ownership and freedom to set up tracking from scratch for a new product, with no legacy constraints.
• Real business impact: you will work directly with a performance team running live campaigns, not build dashboards no one reads.
• A strong data team around you (10+people), including Data Engineers, Data Scientists, BI specialists, and AI specialists to consult with, learn from, and grow with.
• Modern stack: SQL, BigQuery, dbt, GA4, GTM, Tableau, and Python.
• Openness to new practices: the team has already implemented GrowthBook, dbt, server-side tracking, and GenAI skills for analysts.
• Career path: strong performance opens the door to real career growth.
• Flexible schedule and remote-friendly setup.
• Competitive compensation with regular performance reviews.
• Medical insurance.
• Learning and development budget.

Description

Our client is the leading supplier of sports analytics to its clients. Using cutting-edge computer vision and AI/ML technologies, the company provides outstanding real-time sports performance analysis. As an analyst, you will be responsible for providing quality statistics for ice hockey games using the client’s proprietary tools.

Requirements

– Confident PC user (Windows)
– Basic English
– Extensive internet research skills
– Creative problem-solving and analysis skills
– Team player with good interpersonal and solution-oriented attitude
– Readiness to work in shifts (mandatory)
– Stress-resistance
– Ice Hockey knowledge is very beneficial; actual hockey playing skills are not required
– Video gaming experience is also useful

Job responsibilities

– Analyze ice-hockey games and record key events as they occur, such as successful pass, penetration of offensive zone, faceoff win, etc. (40+ total event types)
– Check the quality of content and do an analysis of quality data
– Work on various data tools and generate information by doing online research
– Provide inputs/content with high quality
– Ability to identify and verify source authenticity
– Solve complex problems in a time-bound and effective manner
– Ability to analyze data by doing secondary research

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

We are looking for a Business Analyst  with experience in Microsoft Dynamics Business Central to join our team. This role involves close collaboration with business stakeholders, analysis of processes, and implementation of ERP solutions.
 

🔧 Responsibilities

• Analyze and document business requirements
• Gather and formalize functional requirements
• Configure and support Microsoft Dynamics Business Central
• Participate in ERP implementation projects
• Communicate with stakeholders and end users
• Prepare documentation (BRD, SRS, user stories)
• Participate in testing and go-live activities
• Provide post-release support
   

✅ Requirements

• 3+ years of experience with Microsoft Dynamics Business Central (or NAV)
• Understanding of business processes (finance, supply chain, sales, procurement)
• Experience in writing business and technical documentation
• Experience in ERP implementations
• Strong communication skills
   

➕ Nice to have

• Experience with AL development or understanding of BC customization
• Experience with system integrations
• Microsoft Dynamics certifications