Top Data Analyst Jobs in Poland

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

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.

Build and maintain dashboards and reports, perform deep-dive analyses, validate data pipelines, design scalable data models, and translate data into actionable insights for cross-functional stakeholders.

As a Marketing Science Analyst, you'll analyze consumer behavior, develop statistical models, and collaborate with teams to derive insights for better decision-making and business 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.

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

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.

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

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.

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.

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.

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.

The Senior BI Data Analyst will collect, process, and analyze business data to enhance reporting and decision-making using BI technologies while ensuring data compliance and security.

Design, develop, and maintain Power Platform solutions and Azure-based data pipelines for supply chain analytics. Collaborate with IT and global stakeholders to gather requirements, build/optimize data models, analyze business processes and data flows, and deliver actionable insights and visualizations that support decision-making across ISC functions.

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.

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 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.

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.

The Data Analyst will transform data into actionable insights, manage analytics priorities, and collaborate with teams to enhance reporting capabilities and data visibility.

The role involves managing pricing data, producing reports on pricing performance, and building reporting tools for commercial stakeholders. Responsibilities include ensuring data quality and supporting predictive modeling efforts.

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.

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.