Top Data Analyst Jobs in Warsaw

Analyze website traffic, conversion funnels, and digital campaign performance. Build automated dashboards in Looker Studio or Tableau. Write complex SQL to extract and blend data, manage GA4 tracking and BigQuery exports, generate insights tying web data to business outcomes, and support A/B test analysis for CRO.

Leads independent data analysis projects, translating business challenges into analytical problems and actionable recommendations. The role analyzes complex datasets, validates insights, develops visualizations and dashboards, and presents findings to business stakeholders. It also facilitates discovery workshops, defines KPIs, documents data flows and business processes, and serves as a liaison between business teams and data engineering to ensure accurate, strategically valuable reporting.

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.

Analyze large datasets to generate business insights across payments, tax-free, currency conversion, and hospitality. Build and maintain advanced Power BI dashboards, automate reporting, manage end-to-end analytics projects, gather requirements, and translate business needs into technical solutions. Collaborate with data engineers on ETL pipelines, data models, governance, and scalable BI solutions. Mentor team members and promote analytics best practices and innovation.

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.

Processes, cleans, transforms, validates, and monitors data workflows to ensure accuracy, integrity, quality, and timely client delivery. Investigates anomalies, resolves data issues, documents processes, collaborates with cross-functional teams, and supports operational requirements. The role also contributes to process improvements, efficiency, scalability, and consistent data standards while managing multiple workflows and deadlines.

The Commercial AI Solutions Analyst will collaborate with teams to implement AI initiatives and ensure data quality for business insights. Responsibilities include data validation, user acceptance testing, and promoting AI literacy within sales.

Owner of financial data quality for FP&A: reconcile ledger vs contracts, track and load leasehold improvement spend, resolve data misalignments, improve contract tagging, collaborate with Technology and external partners to enhance forecasting, reporting, and invoice processing.

Assess clinical trial data risks, monitor data quality and integrity, recommend mitigation strategies, collaborate on risk management plans, analyze and visualize findings, and support regulatory documentation and audits while communicating with English- and Mandarin-speaking stakeholders.

Leads data quality governance initiatives by assessing and analyzing data, defining controls and measurement guidelines, producing dashboards and reports, and coordinating issue remediation. Partners with stakeholders to understand data challenges, manage requirements, improve data processes, and report risks through formal data management procedures. Supports strategic objectives, regulatory compliance, internal controls, and senior management reporting while balancing multiple priorities and facilitating cross-functional discussions.

Develop and support analytical systems for operational decision-making, identify KPIs with business process owners, analyze data lifecycles, define data warehouse and ETL requirements, validate data engineering results, build dashboards, and present insights to customers. The role requires at least one year of data or BI analyst experience, strong SQL and data visualization skills, analytical communication abilities, and fluency in Russian and English.

Drive data-backed decisions for commercial and operational teams through SQL analysis, dashboards, data controls, and performance metrics. Partner with international and local teams to identify growth opportunities, improve operational excellence, and develop data insight products. Lead business projects end to end from analysis through implementation, communicate findings through clear narratives and presentations, and share technical expertise with local teams.

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.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

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.

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.

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.

Supports real-world evidence services by programming analyses of observational, claims, hospital, EHR, and registry data. Develops analysis-ready datasets, tables, figures, listings, validation programs, and documentation according to analytic plans. Performs quality checks, resolves discrepancies, communicates project status, follows SOPs, improves analytic processes, and guides junior analysts. The role also contributes to team knowledge-sharing and repeat business through high-quality client deliverables.

Supports data product owners through backlog refinement, requirements gathering, pipeline change testing, data quality, cataloging, lineage, and governance activities. Coordinates Data Engineering, Architecture, Quality, Catalog, and Operations teams to develop and deploy governed data assets. Facilitates Agile ceremonies, manages business metrics lineage, and supports analytics and reporting products across business and technology stakeholders.

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.

Analyze marketing data to evaluate spend, build attribution and reporting, and deliver actionable insights. Create and maintain dashboards, ensure data integrity, collaborate with marketing and data engineering teams, and improve analytical methods to support data-driven decisions.

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.