Top Data Analyst Jobs in Warsaw

The role involves analyzing complex datasets for actionable insights, creating reports, managing stakeholder needs, and improving data processes with minimal supervision.

As a Game Data Analyst, you'll analyze player data to improve game mechanics and provide actionable insights to support business decisions.

Design, build and maintain interactive BI dashboards, perform exploratory analysis on commodity markets, ensure data quality and pipelines, produce KPIs and insight reports, and support stakeholders with self-service analytics and training.

Own marketing analytics for performance marketing: measurement frameworks, reporting, A/B test evaluation, LTV prediction, monitoring dashboards/alerts, data pipelines, tracking quality, and enablement for the marketing team.

Lead setup and lifecycle of Master Data Data Products, manage a small external team, design and implement data product pipelines in Snowflake, coordinate governance and data quality (Ataccama), own requests/incidents, and collaborate with stakeholders, infrastructure, and developers to deliver production-ready, source-agnostic data products.

Design, build, and maintain dashboards and reports; perform ad-hoc analyses and data validation using SQL; implement row-level security; collaborate with Analytics Engineers and stakeholders to enable self-service analytics and improve reporting on modern data platforms.

Lead the billing analytics function: build and maintain billing data pipelines and dashboards, analyze payments/renewals/refunds/disputes, run experiments and forecasting, reduce churn and disputes, and manage/mentor a team of analysts while partnering with Billing, Support, Finance, Product, and Marketing.

Analyze billing and support performance, build and maintain data pipelines, apply statistical forecasting and A/B testing, collaborate cross-functionally, document analyses, and provide recommendations to reduce financial risk, disputes, churn, and operational inefficiencies.

Design and analyze A/B tests, perform in-depth analysis with Python and SQL, build dashboards and reports, collaborate with product teams, and recommend product and data process improvements.

The Revenue Management Pricing Analyst directs price strategy, develops complex pricing models, collaborates with teams, and ensures compliance with standards.

Lead discovery, elicit and document finance and regulatory reporting data requirements; analyse data lineage, mappings, ingestion and transformation; translate business needs into data solutions; produce project artefacts; collaborate with data architects, engineers and reporting teams; manage stakeholders and run workshops across the project lifecycle.

Design and build scalable ETL/analytics pipelines and curated datasets from multiple ERPs, create SQL-based reporting and BI dashboards, collaborate with stakeholders to define KPIs, and ensure multi-tenant, performant, documented data products that scale across customers.

Develop data-driven insights and strategies to prevent and detect fraud across channels. Analyze multi-channel fraud trends, evaluate tools and AI use cases, measure control effectiveness, and translate findings into executive recommendations and cost‑benefit analyses to reduce loss while balancing customer experience and compliance.

Develop data-driven insights and strategic recommendations to detect and prevent fraud across channels. Analyze multi-channel fraud trends, evaluate tools and AI use cases, measure control effectiveness, and translate findings into executive-ready, cost‑benefit informed actions to reduce fraud while balancing customer experience and operational efficiency.

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

As a Business Intelligence Senior, you will design and implement BI solutions using Power BI, manage data quality, and support business requirements.

The Senior Data Analyst will lead A/B testing for Paper.io 2, analyze complex datasets, provide actionable insights, and collaborate with teams to optimize game performance.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

Deliver and maintain Power BI dashboards, perform end-to-end analyses, detect trends/anomalies, optimize data and dashboards, support business cases, conduct ad-hoc analyses requiring advanced queries, and coordinate between Data and Business teams to enable data-driven decisions.

The Associate Data Analyst will support customer onboarding, manage data-related requests, generate insights through SQL, and maintain dashboards.

Analyze complex datasets, write and optimize SQL, ensure data quality, profile and investigate data sources, document data flows and business logic, collaborate with engineering and product teams, support UAT and post-production, and contribute to data modelling and metadata management.

Collect, clean, and analyze procurement data to drive sourcing strategies, supplier performance, and process improvements. Build and maintain Power BI dashboards and reports, lead data cleansing and classification, support sourcing events (RFx), execute MRP processes in SAP APO/ECC, prepare forecasts, and collaborate with cross-regional procurement and category teams to align POs and resolve supply issues.