Top Data Analyst Jobs in Poland

The Junior Master Data Analyst P2P will manage vendor data in ERP systems, ensuring accuracy and compliance for procure-to-pay operations, and perform audits to maintain data quality.

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.

Design, develop, and maintain data pipelines for patient safety in medical devices, focusing on performance monitoring and regulatory compliance. Collaborate on reporting tools and automate data processes.

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.

Manage reference market data: set up and maintain securities, validate vendor feeds, respond to client inquiries, perform quality control, run market data analyses, and support process improvements while collaborating with internal and external stakeholders.

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.

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.

The Senior Procurement Data Analyst analyzes complex datasets and creates reports to support procurement operations and decision-making. Responsibilities include managing data analysis projects, ensuring data quality, and collaborating with stakeholders to define objectives and deliver insights.

Analyze mobile games data to track performance, design and execute A/B tests, report on user engagement, and recommend optimizations.

Perform end-to-end analytics: translate business needs into data solutions, design dashboards and reports, automate reporting, analyze customer/product/transaction data, deliver insights, support stakeholders, and promote data governance and upskilling.

Support Global IS Sourcing savings governance and reporting: validate and report savings, resolve data discrepancies, perform supplier spend and cost analyses, and deliver insights to stakeholders.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

Design, build, and maintain Power BI dashboards and Microsoft Fabric data pipelines. Integrate Dynamics 365 data, ensure data quality and governance, deliver executive insights, forecasting, and strategic analysis. Partner with sales, operations, and finance leaders to translate requirements, promote self-service analytics, and document KPIs and reporting logic.

The role involves analyzing fraud patterns, preparing reports, writing protective rules, and collaborating with clients and teams to combat cybercrime.

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 Data Analyst will assist with visa/VOE case history, data entry for new hires, and resolve employee queries using HRMS while ensuring quality and compliance.

Analyze Travel & Expense transaction data to detect fraud, anomalies, and policy breaches; support internal audits; maintain Power BI dashboards; transform and consolidate data with Power Query and Excel; collaborate with Finance, Audit, HR, Fleet and Travel to drive controls, reporting, and corrective actions; present data-driven insights to leadership.

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, 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.

Maintain and govern master data across ERP and business systems: create, update, validate, and de-duplicate records; perform audits and analyses; support data migrations, process improvements, and cross-functional issue resolution.

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.

Support the commercial and pricing team by collecting, cleaning and maintaining pricing and sales data; processing pricing updates; preparing reports, dashboards and monthly sales summaries; assisting with annual price lists and quality checks; resolving data queries across teams; and contributing to process improvements while developing analytical and technical skills.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

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.