Jobs Data & Analytics

ZentixSoft is looking for a Senior Data Scientist! 🚀

Format: Full-Time Outstaffing, long-term engagement.

Location: Poland-based (Remote with readiness for occasional client meetings in Warsaw).
 

🏛️ Our Approach & Culture at ZentixSoft:

At ZentixSoft, we operate on trust and high autonomy. We have no micromanagement, no invasive time-trackers, and no minute-by-minute monitoring—we value a mature engineering mindset and freedom in decision-making.

However, freedom always equals personal responsibility. We measure work by concrete business outcomes, not logged hours. We expect you to take complete ownership of your domain, understand how your models impact commercial decisions, meet deadlines, and deliver production-grade results.

In this role, you will lead end-to-end data science for a SaaS platform in AgriTech / Supply Chain, working directly with the CTO, product team, and GCP engineers to build price, demand, and yield forecasting models.

🧩 Responsibilities:

• End-to-End Ownership: Own modeling from problem definition to production deployment, analyzing multivariate time-dependent data for forecasting and classification.
• Feature Engineering: Build complex features around seasonality, lead-lag effects, weather impact, and regional supply chain dynamics.
• Model Benchmarking & Validation: Design and evaluate XGBoost, LightGBM, ARIMA, and deep learning sequence models using temporal cross-validation, uncertainty estimation, and explainability frameworks.
• Production Deployment: Productionize batch and API models on GCP alongside data engineers, implementing drift monitoring and retraining pipelines.
• Modern AI Integration: Prototype LLMs and AI agents where relevant for automated insights.
• Business Impact: Present quantitative findings, trade-offs, and metrics clearly to business stakeholders and non-technical decision-makers.
   

🎓 Our Perfect Match (Requirements):

• Commercial DS Experience: 5+ years in Data Science, applied ML, or quantitative analytics.
• Core ML & Data Stack: Advanced Python (Pandas, NumPy), ML frameworks (XGBoost / LightGBM / PyTorch / TensorFlow), and SQL.
• Cloud & Data Warehouse: Hands-on experience with Google Cloud Platform (GCP) and BigQuery is a MUST.
• Time-Series Expertise: Proven track record in time-series forecasting with concrete quality metrics (e.g., MAPE, RMSE, WAPE) in real-world environments.
• Location & Mobility: Candidate MUST be based in Poland and willing to visit Warsaw occasionally for client meetings.
• Communication: Fluency in English with the ability to explain complex quantitative models in business terms.
   

➕ Nice to Have:

• Experience with weather, geospatial, commodity, or supply-chain data.
• Bayesian methods, probabilistic forecasting, causal inference, or optimization.
• Production experience with LLMs or AI agents.
• GCP Data Scientist / ML Engineer certifications.
   

📍 Project Details:

⏳ Format: Full-Time, long-term outstaffing.

📍 Location: Remote in Poland (with occasional trips to Warsaw).

About the Client

The Client has been servicing technology solutions to the New York City real estate industry for over a quarter of a century.  As there is no widely accepted MLS in the Manhattan real estate industry, the Client’s application environment is the system that transmits up to the minute inventory from one firm to another.  This system has grown from 10 firms and 300 listings exchanged daily to close to 500 firms and approximately 10,000 listings exchanged daily in accordance with REBNY's RLS guidelines.

The Client supports a full service listings system application which is in use by approximately 300 firms.  Their products include but are not limited to the full service listing application supporting both the agent end user and data entry, a mobile listings application, a variety of listing feeds, off the shelf and customized VOW options, and marketing services which consist of custom brochures, an interface with the New York Times' Ad times 2000 and a proprietary advertising tool known as Premium Marketing Opportunity (PMO).  The Client has a long standing history of successful data conversions, integrations, and development of customized business solutions.

Project details

The project is the sophisticated Listing Management System web application that allows New-York real estate agents find the right properties available for sale and rent, generates various reports for the agents' clients.

Your Team

We've created the team of 30+ team-members in Ukrainie and not going to stop. Due to new business challenges, we are ready to hire 1 more team member.

For now, our friendly team consists of FullStack .Net developers, Front end developers, QAs, DBAs, Researchers, BA and Designer.

What's in it for you

• Interview process that respects people and their time
• Professional and open IT community
• Internal meet-ups and resources for knowledge sharing
• Time for recovery and relaxation
• Bright online and offline events
• Opportunity to become part of our internal volunteer community

Responsibilities

The right candidate will collaborate and report directly to customers' market analyst who is located in New York. 

His/ her daily routine will consist in identifying and entering the information about new real estate objects available in New York into the customer's software system. 

Training will be provided.

Skills

• Upper-intermediate (or higher) English to collaborate with US market analyst on the daily basis.
• High typing speed to enter information about new objects on New York real estate market into the customer's software (training will be provided).
• Technical background (experience working with Excel/data) or a technical education
• Analytical skills to be able to distinguish existing real estate objects against new one (training will be provided).
• Working hours should be close to New York working hours as possible. At least from 13-00 till 21-00 UA time. But ability to shift it even more to 22-00 and late will be a HUGE plus.
• Responsible attitude towards entering correct information into the customer's software.
• Desire to learn New York real estate domain.
• Knowledge or previous experience in real estate domain is not required but will be a HUGE plus.

We are looking for a Business Analyst who is interested in working with healthtech projects and passionate about learning new things. Your role will be participating in pre-sales activities, discovery phases, initiating new projects, and helping on the existing ones. You will be responsible for building and maintaining long-term relationships with clients and translating business needs into technical requirements for projects in Health tech and Life Sciences domains.

*Please note that this position is open to candidates from Lviv.

What we expect

• 3+ years as a Business Analyst in software development projects, including at least one healthcare or health tech product (EHR/EMR, patient portal, telehealth, practice management, remote monitoring or similar)
• Hands-on experience across the full BA cycle on at least one project, from elicitation through delivery and acceptance
• Experience gathering and documenting requirements for workflows with several user roles and turning them into user stories with clear acceptance criteria
• Working knowledge of healthcare privacy and security regulations, mainly HIPAA and GDPR, and the ability to turn them into concrete requirements
• Basic understanding of healthcare interoperability, what FHIR and HL7 are for
• Experience writing business and technical documentation: PRD, user stories, BPMN/UML diagrams, data flows, integration descriptions
• Experience with Jira, Confluence and a diagramming or prototyping tool 
• Experience with LLM and AI tools (especially Claude) for project context management, routine task automation, and use on different agentic SDLC stages
• Experience working in Agile teams and a solid understanding of software development processes and roles
• Strong analytical skills, especially spotting gaps, contradictions and edge cases in requirements
• Ability to run interviews, workshops, and walkthroughs with both technical and non-technical stakeholders
• Attention to detail, plus the ability to see how a feature fits the wider product and the client’s system landscape
• Ability to own a workstream on your own, with guidance from a Senior BA
• Real interest in the healthcare domain and willingness to learn its terminology, standards and regulations quickly

• Upper-Intermediate English (B2+) or higher

   

Nice to have

• Hands-on experience with FHIR R4 resources or FHIR-native platforms (e.g. Medplum), or with EHR integrations (Epic, Oracle Health, athenahealth)
• Familiarity with US revenue cycle concepts: insurance eligibility, claims, CPT/ICD-10 coding, clearinghouses
• Experience in specific health tech subdomains, such as patient engagement, telehealth, women’s health or mental health
• Pre-sales experience: preparing scope breakdowns for estimates, discovery plans or solution proposals
• Background in healthcare (clinical or administrative), QA or project management

• Claude Certified Associate – Foundations certification or Architect level ones

   

Responsibilities

• Gather, analyse and document business, user and solution requirements for health tech products, including clinical and administrative workflows
• Map current and target workflows for every user role, and identify where the product sits among the client’s existing systems
• Turn regulatory and privacy constraints into requirements, and keep them traceable through the backlog
• Define integration and data requirements with the tech team
• Take an active part in discovery phases: prepare and co-facilitate workshops and stakeholder interviews, then consolidate the findings
• Conduct market, competitor and domain research, and contribute to the unit’s subdomain overviews
• Develop and maintain the product backlog: epics, user stories, acceptance criteria, priorities
• Support estimation by breaking scope down into epics and features as input for WBS
• Set up and maintain the project knowledge base

• Contribute to the Health Tech unit’s knowledge base by sharing project learnings and taking part in internal sessions

   

OUR BENEFITS:

• Opportunity to work with international clients
• Work from anywhere (fully remotely or in our office)
• Paid vacations and sick-leaves, additional days-off, relocation bonus
• Wellness: Medical insurance / sport compensation / health check-up + flu vaccination at your choice
• Education: regular tech-talks, educational courses, paid certifications, English classes
• Fun: own football team, budget for team-lunches, branded gifts
• One of the best IT employers in Lviv (or IT service companies in Ukraine) based on DOU rating

*Some elements of our recruitment process are supported by AI tools, while all candidate evaluations remain the responsibility of our recruitment team. 

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.
• 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.

Responsibilities: 

1. Ownership

   Be the analytics counterpart for a product domain 1:1 chat, content packs, negotiations, live streaming — you become the person PMs and engineers come to for any number in that area, and the person accountable when it's wrong.

2. Experiments

   Run A/B tests on product features, end to end Turn a product hypothesis into a test: primary and secondary metrics, the minimum effect worth detecting, and the audience. Confirm the population split and assignment events are genuinely correct before trusting the readout. Monitor it while it runs, then deliver a clear ship / don't-ship call and the reasoning behind it. This is a large part of the job, not an occasional project.

3. Pipelines

   Build and maintain the datasets behind your domain Write production transformations as SQL and YAML pipeline config, with freshness, uniqueness and validity checks. Your work goes through code review like any engineer's.

4. Events

   Specify instrumentation before it's built Write the BI event spec for new features across Android, iOS and Web; then verify after release that events actually fire the way the spec said, and chase the gaps when they don't.

5. Dashboards

   Own dashboards and the models under them

   Including retiring the ones nobody opens. A dashboard with no reader is a cost, not an asset.

6. Analysis

   Investigate what moved and why Revenue and conversion anomalies, feature performance, behavioural questions from PMs. Present findings to people who will act on them.

7. Incidents Size production incidents under time pressure When something breaks, you're asked how many users were affected and for how long — quickly, and precisely enough to defend the number when engineering disagrees with it.
8. Cost Keep query and pipeline cost honest Partitioning, clustering, and knowing why a query scans what it scans. Warehouse capacity is shared and finite; an expensive pipeline is everyone's problem.

Requirements:

• Advanced SQL, including window functions and multi-source joins — and the ability to reason about what a query costs, not only whether it returns.
• A strong experimentation background. Hypothesis testing, confidence intervals, power and minimum detectable effect — and the failure modes: peeking at a running test, multiple comparisons, hunting for a segment where the result works. You should also be the kind of person who checks that the experiment itself is sound before trusting its numbers.
• 3+ years as a product or data analyst on consumer products, with real exposure to both mobile and web.
• Critical use of AI analytics tooling. We use an internal Claude-based layer over BigQuery heavily. We want someone who checks what it produces before passing it on.
• Comfort shipping code: git, merge requests, reading and reviewing someone else's SQL. You'll write production pipeline code, not only notebooks and queries.
• Working knowledge of product event tracking: what a well-specified event looks like, and why the same event behaves differently across platforms.
• English at B1 or above. You'll write specifications that engineers build from and present findings to product stakeholders, so clear written English matters more than fluent speech.

Strong advantage

• BigQuery specifically — partitioned tables, clustering, slot-based pricing.
• Airflow, dbt, or another orchestrated transformation framework.
• Having been the analyst on a production incident, not only in the post-mortem.

Nice to have

• Python with the usual statistical libraries — pandas, scipy, stats models.
• A BI tool such as Looker, Tableau, or Power BI — having built the models and dashboards, not only read them. We use Looker today but are moving off it, so the particular tool matters much less than having done the work in one.
• Data quality tooling such as Soda or Great Expectations.
• Experience in social, live-streaming, gaming or another engagement-driven consumer product.
   

📍 Location: EU-based, remote

💼 Cooperation type: Full-time

We're seeking a Product Analyst to become our first dedicated product analyst: you'll work closely with product managers and developers to measure every meaningful product change, build an A/B testing culture from the ground up, and turn years of accumulated product data into insights that drive retention and revenue.

Key tasks:

• Work with product data and datasets to uncover insights that improve user retention and feature adoption.
• Define new product metrics together with the product team and link them to business impact.
• Create tracking plans and technical tasks for developers to implement events, and verify the implementation before release.
• Join key product team meetings to plan analytics alongside feature development, so measurement starts on release day.
• Design, run, and analyze A/B tests in the product and on the promo site, including hypothesis discussions and sample size calculations.
• Research user behavior and SaaS metrics (MRR, NDR, retention) to find opportunities for revenue growth and plan upgrades.
• Present findings to stakeholders and drive data-backed decisions.

Your background:

• 5+ years of experience in analytics, including at least 3 years as a Product Analyst in an in-house product company.
• Strong SQL and Python skills.
• Experience building reports in a BI tool (Hex, Looker, Tableau, Power BI, or similar).
• Solid knowledge of SaaS metrics (MRR, NDR, retention).
• Hands-on experience with A/B testing, from hypothesis to analysis.
• High attention to detail and accuracy when working with large volumes of data.
• Proactive mindset: you spot trends and risks early and bring them to the team.
• Ability to present insights clearly and defend data-backed positions with stakeholders.
• Reliability with estimates and deadlines.

Will be a plus:

• Experience with Amplitude.
• Experience with Jupyter / Python notebooks.
• Experience in a SaaS company, including pricing and subscriptions.

RISK inc: An International iGaming Company Pushing the Boundaries of Entertainment

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 Product Analytics Lead to own and improve the way product decisions are made through data, behavioral analytics, experimentation, and user insights. You will build analytics frameworks, set standards for evaluating feature launches and A/B tests, and work closely with Product Managers, Data Science, and Analytics teams.

This role combines hands-on analytics, technical leadership, and mentoring. You will help analysts grow, improve processes, and make sure product insights turn into clear decisions and actions.
 

Job Description:

• Lead the Product Analytics direction and mentor analysts within the team;
• Evaluate product launches, new features, A/B tests, experiments, and feature rollouts;
• Define success metrics, guardrail metrics, and evaluation logic for product changes;
• Analyze user behavior, funnels, cohorts, retention, LTV, conversion, and other key product metrics;
• Investigate changes or drops in key metrics, identify root causes, and provide clear recommendations;
• Build and improve standards for product launch evaluation, experimentation, and analytical decision-making;
• Work closely with Product Managers, Data Science, Engineering, and Analytics teams;
• Translate complex analytical and statistical findings into clear business recommendations for non-technical stakeholders.
   

Qualifications:

• 5+ years of experience in Product Analytics;
• Strong / Advanced SQL skills, including complex queries, optimization, and data modeling;
• Hands-on experience with A/B testing, experiments, and product launch evaluation;
• Strong understanding of product metrics: funnels, retention, cohorts, LTV, conversion, and behavioral analytics;
• Solid knowledge of mathematical statistics: hypothesis testing, confidence intervals, sample size, and statistical significance;
• Experience working in a product IT company with its own product and development team;
• Experience with BI tools such as Tableau, Looker, Power BI, or similar;
• Experience mentoring analysts, reviewing analytical tasks, or acting as a senior / lead expert within an analytics team;
• Strong product mindset and ability to turn analysis into clear conclusions and actionable recommendations;
• Ability to communicate complex analytical ideas clearly to non-technical stakeholders.
   

Nice to have:

• 2+ years of experience as a Product Analytics Lead / Lead Product Analyst;
• Experience in iGaming, gambling, or high-volume B2C products;
• Experience building analytics processes, standards, or experimentation frameworks;

• Experience with Python for exploratory analysis.

   

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're Hiring: Data Analyst — Product & Marketing Analytics | Remote
We're looking for a hands-on Data Analyst to help drive product and marketing decisions for a B2C iGaming business.
This role combines product analytics, marketing performance, unit economics and data reliability. We're looking for someone who can work independently with raw transactional data, build reliable reporting from scratch, and turn analysis into clear business recommendations.
What you'll do
• Own weekly reporting across GEOs, including registrations, FTDs, deposits, withdrawals, GGR/NGR, bonus rate and active players.
• Analyse acquisition sources, affiliate caps, FTD cost, LTV and cohort-based traffic payback.
• Evaluate bonus and CRM campaign economics, including A/B tests and control-group analysis.
• Work with event and historical data across Kafka, ClickHouse and Athena/S3.
• Build and maintain Grafana dashboards and monitoring.
• Reconcile internal metrics with platform reports, investigate discrepancies and validate data completeness.
• Present actionable recommendations to Product and leadership: what to scale, optimise or stop, and what impact to expect.
What we're looking for
• 3+ years of experience in product or marketing analytics in a B2C business.
• Strong SQL skills, including complex queries, window functions, cohort analysis and query optimisation.
• Hands-on experience working with raw event and transaction data and building reporting from scratch.
• Practical experience with ClickHouse, Athena/S3, Kafka and Grafana.
• Strong understanding of unit economics, LTV, retention, acquisition cost and bonus economics.
• Working knowledge of Python/pandas for data processing and automation.
• Ability to communicate findings clearly and translate data into business decisions.
Experience in iGaming or betting is a strong plus, particularly familiarity with GGR, NGR, bonus rate and the registration → first deposit → repeat deposit funnel. Candidates from fintech, e-commerce and mobile gaming with relevant transactional analytics experience are also welcome.
What we offer
• Fully remote work.
• Working hours: 9:00–18:00.
• Preferred time zones: UTC+2 to UTC+6.
• Compensation: 2,000–3,000
• Growth opportunities towards Lead Analyst, with ownership of the brand's reporting and data warehouse, and potential to build an analytics team as the business expands.

We are looking for a Data Scientist to join our client — an international technology company in the AdTech industry, headquartered in New York with offices around the world. The company develops software for digital advertising analytics and verification: its platform evaluates the quality of every ad impression — preventing ad fraud, ensuring brand safety and suitability, and verifying viewability and geo-targeting. Its clients include some of the world's largest brands, such as Vodafone and Mondelez. The Data Scientist will take ownership of improving existing models, building statistically robust solutions, and translating business challenges into mathematical problems that are integrated into the platform.
 

Responsibilities:

• Enhance, fine-tune, and continuously improve existing modeling solutions, including customizing open-source libraries to meet project requirements;
• Perform exploratory data analysis and feature engineering to build statistically robust, interpretable models that reflect domain knowledge;
• Keep up with emerging methods and best practices in causal inference and experimental design;
• Translate complex business challenges into well-defined mathematical problems and communicate findings as clear insights and actionable recommendations to external stakeholders;
• Participate in code reviews and provide feedback on model architecture, system design, and technical implementation;
• Collaborate with product and engineering teams to integrate data science solutions into the company's platform.
   

Requirements:

• 5+ years of relevant industry experience with a BA or BSc in science or engineering, or 2+ years of professional experience with an MSc or PhD in a related field;
• Solid understanding of regression techniques, statistical hypothesis testing, and experimental design;
• Strong hands-on experience with the scientific Python ecosystem: NumPy, Pandas, Statsmodels, Matplotlib, and similar libraries;
• Strong communication skills and the ability to explain complex concepts clearly;
• A proactive, curious, and self-motivated approach with a genuine interest in continuous learning;
• Availability for occasional evening meetings (7–9 PM Kyiv time);
• Fluent English (C1).
   

Nice to have:

• Experience writing SQL queries for data extraction, transformation, and analysis;
• Practical knowledge of Bayesian methods and their application to predictive modeling;
• Experience with AWS;
• Hands-on experience with probabilistic programming frameworks such as STAN, PyMC, or NumPyro;
• Understanding of marketing analytics: campaign allocation, performance measurement, and marketing budget optimization.
   

What we offer:

• Paid vacation.
• Paid sick leave.
• Courses and learning opportunities.
• Flexible schedule and fully remote work from any location.
  
  Send your CV!

About the Role

LiftIQ is looking for a Senior Analytics Engineer / BI Product Engineer to build the
reporting and analytics products our teams use to run the business.
This is not a traditional BI role where stakeholders provide specifications and you simply
build dashboards. We need someone who can understand the underlying business
problem, determine what users actually need, and turn ambiguous requests into accurate,
actionable analytics.

Often, the best solution will be different from what was originally requested. You should be
comfortable challenging requirements, identifying insights users did not know to ask for,
and designing reports that help people make decisions—not simply giving them more data.
This is also a highly technical full-stack analytics role that blends analytics engineering
with BI product engineering. You will work across BigQuery, dbt, TypeScript, Next.js, and
React, using Claude Code extensively to accelerate development.

Data correctness is critical. Wrong numbers are worse than crashes.
You will own the accuracy, reliability, and usability of LiftIQ’s reporting products
end‑to‑end—from data modeling and metric definitions to dashboard experience and
permissions.

What You’ll Do
• Work directly with stakeholders to understand business questions and translate
them into useful analytics products.
• Design metrics, reports, dashboards, and visualizations that surface actionable
insights.
• Write sophisticated BigQuery SQL and build/extend dbt models,data marts and
dimensional models (facts, dimensions, semantic layers)
• Reconcile reporting against source systems and investigate data discrepancies.
• Build dashboards end-to-end across the data layer, semantic layer, application
layer, permissions, and automated tests.
• Use Claude Code heavily while maintaining ownership of the underlying
architecture, logic, and data correctness.
• Protect sensitive financial and compensation data through rigorous server-side
access controls.
• Write automated tests for metrics, business rules, and permissions.
• Document business logic, metric definitions, and data models to ensure clarity and
consistency across teams
What We’re Looking For

• Essential
  Exceptional SQL skills
• Deep experience with analytical SQL, including complex joins, window functions,
• attribution, aggregation, data grain, reconciliation, and performance. BigQuery experience
• is strongly preferred.
• Strong analytical and business judgment
• You can understand what decision a stakeholder is trying to make, determine which
• metrics matter, and design something more useful than simply fulfilling the original
• request.
• Strong requirements-gathering skills
• You are comfortable working directly with business users, asking the right questions,
• understanding unfamiliar processes, and turning ambiguity into a clear solution.
• dbt experience
• Experience using dbt in a high-scale production data environment. Experience with
• dimensional modeling, semantic layers, and metric governance.
• Data skepticism
• You instinctively validate, reconcile, spot-check, and investigate. You should be
• uncomfortable shipping a number you cannot explain.
• Testing discipline
• Experience building testable analytics logic and automated tests for metrics and business
• rules. Experience with version control, PR hygiene, and modular analytics engineering
• practices.

• English: strong working proficiency (B2+), with the ability to communicate directly with business stakeholders and gather requirements.

   

Nice to Have
• Performance or affiliate marketing experience, including CPL, CPA, EPC, ROAS, and
media-buying economics
• Experience with platforms such as Everflow, Ringba, RedTrack, Voluum,
LeadProsper, or HubSpot
• GCP / Cloud Run / Cloud Scheduler / Cloud Build
• Python ETL and API integrations
• Payroll or commission systems experience
• Claude API or other LLM application development
• Interactive data visualization
• Playwright / E2E testing
Tech Stack
Data: BigQuery, dbt, Python ETL, Google Sheets
Application: Next.js 14, TypeScript, React, Tailwind, NextAuth, Neon Postgres
AI: Claude Code, Claude API
Testing: Vitest
Infrastructure: GCP, Cloud Run, Cloud Scheduler, Cloud Build, Docker
What Success Looks Like
A strong person in this role becomes someone the business brings problems, not
dashboard specifications.
If someone says, “I need to understand why this buyer’s margins dropped,” you should be
able to understand the business context, interrogate the data, identify the relevant metrics
and potential causes, and build something that makes the answer clear.

You should be equally comfortable debugging a subtle SQL grain issue, talking with a
stakeholder about how their business works, and using Claude Code to turn the resulting
solution into a production dashboard.

This is a full-stack analytics role, but the hardest part of the job is data correctness,
modeling discipline, and analytical judgment—not frontend development.
Success also means stakeholders trust your numbers without hesitation, dashboards
become decision tools rather than data dumps, and metric definitions remain consistent
across teams.

Dataforest seeks a Tech/Team Lead Data Science to join a friendly, supportive team. We are Data Engineering company working on AI adoption in different industries.

We are looking for a person who likes challenges. This position offers the possibility of working as a Manager, however, to keep track of ongoing changes in the AI field and participate in AI projects.

As a Tech/Team Lead, you will collaborate with the CEO and CTO to define proper development processes, run an R&D practice, participate in pre-sale, and lead ongoing AI projects.

 You'll be a great fit if you have:

• 5+ years of experience in Data Science field;

• 4+ years of experience with Python;

• Strong management and leadership skills, leading the data scientists team;

• Knowledge of data algorithms and data structures is a MUST;

• Experience with business analysis and project management;

• Knowledge of DS and Machine learning algorithms.

• Experience with LLM, RAG , Langchain;

• Experience with Databricks, Snowflake (Optional);

• Knowledge of cloud solutions: AWS or Azure or GCP (Optional);

• Experience in multithreading/multiprocessing approaches;

• Proficiency with Docker, Kubernetes, and CI/CD pipelines;

• Previous experience in a Team Lead role;

 What you’ll do:

• Manage the data science department (10 people);

• Perform code reviews and data scientist assessments;

• Develop DS Architecture;

• Participate in pre-sales activities;

• Lead a data science projects;

• Write clean and well-structured code that is easy to read and maintain;

• Participate in decision-making processes related to design architecture, solution development, architectural, and code reviews;

• Develop high-load solutions;

• Conduct R&D work with new technology;

• Maintain high-quality coding standards within the team.

We ensure your growth with:

• Great networking opportunities with international clients and challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leave;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team-building activities and corporate events.

About the Engagement:

A large international organization is setting up a new Strategic Initiatives team. C-level stakeholders give it specific questions, and the team analyzes data quickly to form a clear point of view. For example, two large programmes that run separately today (such as IT change and risk remediation) may need a recommendation on how they should work together.

Overview:

You’ll own the data side of the Strategic Initiatives team. You’ll connect sources, set the factual baseline for each initiative, and answer questions quickly and repeatably. You’ll work side by side with the Business Analysts and bring the evidence into war-room sessions with senior stakeholders.

Responsibilities:

Build the analytic sandbox: help set up and run the sandbox, connecting it step by step to sources such as ERP and MI data warehouses, one use case at a time.

Set baselines: establish the data baseline for each initiative so everyone works from the same facts.

Answer fast, reuse often: run standard queries or write new ones, and save them as documented, reusable assets.

Support decisions live: bring the right data into war-room sessions to form and prioritize hypotheses.

Validate hypotheses: test them with further data and state plainly what the evidence shows.

Support the write-up: provide accurate analysis and clear visuals for executive-level findings.

Must-Have:

10–15 years of relevant experience with a track record of hands-on delivery

Strong hands-on data analysis: querying, joining and cleaning data from enterprise sources (SQL)

Experience with data from ERP systems and MI data warehouses, including budgets, forecasts and spend

Ability to turn data into clear insight for senior, non-technical readers

Care for quality: checking results, documenting queries and making them reusable

Advanced English; able to work from the Krakow office 3 days a week

Nice-to-Have:

Experience with SAP or Oracle ERP finance data (GL, cost centres, spend)

Python or R for analysis

Power BI, Tableau or advanced Excel for executive visuals

Experience setting up analytic sandboxes or self-service analytics

Background in large multinational or financial-services organizations

About the Engagement:

A large international organization is setting up a new Strategic Initiatives team. C-level stakeholders give it specific questions, and the team analyzes data quickly to form a clear point of view. For example, two large programmes that run separately today (such as IT change and risk remediation) may need a recommendation on how they should work together.

The starting team is 2 Business Analysts and 2 Data Analysts. They work side by side and with senior stakeholders, often in live war-room sessions.

Work Format:

Location: Krakow, Poland. Hybrid, with 3 days a week in the client’s office (mandatory)

Who You Are:

Credible and at ease with C-level stakeholders

Does the work yourself, not only manages others doing it

Learns quickly and takes direct, candid feedback well

Delivers at pace without lowering quality

Works openly with the client and team in a live, fast-moving setting

Note: this is not an IT/requirements Business Analyst role. There are no user stories or backlog work. The role is about strategy and finance: you answer executive questions with financially grounded analysis and recommendations. A background in consulting, corporate strategy or FP&A fits best.

We are looking for an experienced Product Analyst with a strong iGaming background to analyze product performance, player behavior, acquisition quality, and key business metrics.

The role requires a strong understanding of both product analytics and affiliate traffic economics within Casino and/or Sportsbook.
 

Responsibilities

• Analyze key iGaming metrics: GGR, NGR, LTV, ARPU, Retention, Churn, Conversion, ROI, Payback
• Analyze player behavior, cohorts, segmentation and lifecycle
• Identify bottlenecks and growth opportunities across the registration → deposit → active player funnel
• Conduct deep-dive product analysis and turn data into actionable business recommendations
• Design, evaluate and interpret A/B tests
• Analyze the impact of product changes, bonuses, promotions and new features
• Build and maintain dashboards and automated reporting
• Analyze affiliate traffic performance by partner, source, GEO and acquisition model
• Evaluate traffic quality based on FTD, Deposits, GGR/NGR, LTV, Retention, ROI and Payback
• Analyze CPA, RevShare and Hybrid acquisition models and partner performance
• Identify high- and low-performing traffic sources and opportunities for optimization and scaling
• Work closely with Product, Affiliate, CRM and Marketing teams

Requirements

• 3+ years of experience in Product / Data Analytics
• Hands-on iGaming / Gambling experience is mandatory
• Strong understanding of Casino and/or Sportsbook products and player behavior
• Strong knowledge of SQL
• Experience with Power BI, Tableau, Looker or similar BI tools
• Strong experience with cohort, funnel, retention and LTV analysis
• Practical experience with A/B testing
• Understanding of iGaming affiliate marketing and traffic economics
• Experience analyzing affiliate traffic and partner performance
• Understanding of CPA, RevShare, Hybrid, CAC, ROI and Payback
• Python for data analysis is a strong advantage
• Ability to translate data into clear conclusions and business recommendations

We Offer

• Competitive salary.
• Fully remote position.
• Flexible working hours.
• Opportunity to work with an international iGaming company operating across multiple markets.
• Professional growth in a fast-paced environment.

Candidates without previous iGaming / Gambling experience will not be considered

We are looking for a skillful Senior Business Analyst to join our team.

About the project

As a Senior Business Analyst, you will be at the forefront of the business transformation and expansion, working with multiple work streams and stakeholders. This is a tremendous opportunity to prove yourself and unlock the new growth frontiers.

Responsibilities

Captures requirements from business stakeholders and prepares user stories with detailed acceptance criteria.

Drive an MVP mindset across the team to ensure that the definition of minimum value and user-testable team outputs.

Work closely with the technology team to ensure the delivery of User Value in line with User Story goals.

Support a shared understanding of User Stories across the team, particularly why they are valuable/prioritised.

Ensure the roadmap is aligned with backlog priorities.

Requirements

Solid understanding of the MVP mindset, understanding the value of short-term planning

At least 3 years of experience working in an Agile environment (Scrum / Kanban / SAFe / LeSS).

Experience with writing User Stories, and decomposing work to drive prioritisation.

Strong communication skills with the ability to communicate complex messages and trade-offs, telling a compelling story.

Comfortable with processes/ technology/IT to understand and help solve problems with the technical team(s), addressing their concerns.

Strong leadership and influencing skills, with confidence in explaining complex processes or technical details to diverse groups of people.

Strong problem solver who can lead the team and push the solution and progress.

It would be a big plus: experience in the Retail domain.

Polish fluent, Upper intermediate English level.

Ukrainian is nice to have.

We offer

A competitive salary and a good compensation package

Flexible and personalised career growth

Paid vacation days, sick leaves, and days off

Corporate events and team buildings