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.

Analyze, validate and reconcile capital markets data; build and maintain reports and dashboards from Murex data; translate business requirements into reporting solutions; collaborate with Front Office, Risk, Finance and Ops; perform testing and data quality assurance while learning Murex reporting and data models.

Bring data into everyday decision-making for commercial and operational teams. Develop dashboards and monitoring, establish and track key metrics, produce actionable insights, collaborate with international and local teams, propose growth initiatives, and drive end-to-end project execution from analysis to implementation.

Lead data analytics and management to validate regulatory reporting data across regions. Collaborate with finance, regulatory, technology and program teams to scope needs, improve data quality, drive consumption readiness, support regulatory changes, and deliver process and operating model improvements.

Collaborate with stakeholders to translate business requirements into analyses, analyze large datasets to identify trends, build and maintain dashboards and visualizations (Power BI), validate data quality, support analytics projects (cohort, funnel, retention), and improve reporting processes to drive data-driven decisions.

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.

Lead business-facing data analysis to assess data models, identify duplicates and inconsistencies across sources, and recommend practical data quality and governance improvements. Run discovery sessions, present findings to stakeholders, produce documentation, roadmaps, and support prioritisation of data improvement initiatives to enable better business decisions.

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.

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.

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.

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.

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.

Gather business requirements, analyze and profile enterprise data, develop KPIs, reporting frameworks, and analytical models. Perform forecasting, scenario modeling, and statistical analysis, validate dashboards and reports, and collaborate with business and technical teams to support strategic workforce planning and decision-making.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

Perform advanced analyses to support pricing, product selection, portfolio, and international expansion decisions. Combine and clean large datasets, identify business problems, design analytical approaches, produce actionable recommendations, report KPIs, and communicate results to business and technical stakeholders in a hybrid Warsaw-based engagement.

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.

Early-career Data Analyst responsible for designing and owning core metrics and dashboards, analyzing transaction/customer/credit data to inform credit, fraud, AML, portfolio and growth decisions, building data pipelines and automations with SQL and Python, partnering with cross-functional teams, and owning compliance reporting. Emphasis on turning ambiguous problems into reliable analytical systems and applying GenAI/LLMs for practical automation.

Analyze and instrument offsite discovery and SEO/GEO performance for ecommerce sites. Build integrations, ETL pipelines, and models to track organic and AI-driven traffic. Create tooling and frameworks for technical site audits, landing page modelling, SEO experiments, and enablement for product and customer teams.

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

Support data quality by analyzing multilingual classifier outputs, refining parsers, and translating taxonomy content between English and German while maintaining accuracy in high-volume tasks.

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.

Remote Poland-based data analyst supporting clinical trial reporting and Rave EDC builds. Develops and validates template notebooks, programs data listings, documents business rules, performs data quality audits, conducts descriptive and predictive analyses, and presents actionable insights to stakeholders. Identifies process improvements and implements statistical or mathematical methods as needed.

Partner with Product teams to analyze user journeys, run A/B tests, build dashboards, extract insights using SQL, Tableau and Amplitude, and collaborate with Data Platform engineers to drive data-informed product decisions.