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.

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.

As a Game Data Analyst, you'll analyze player behavior, evaluate game mechanics, produce actionable insights, and collaborate with diverse teams.

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.

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.

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.

Analyze fraud and risk data to identify suspicious patterns, enhance fraud defenses, and generate reports for leadership teams.

Serve as the bridge between business, risk, and IT for ALM data: translate requirements into technical solutions, support ETL and data flows into QRM, monitor and maintain data quality, develop data controls, and help build data marts and Power BI reporting solutions.

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.

Support supply chain data initiatives by preparing, cleaning, and analyzing datasets using SQL and Python; contribute to data models, Power BI dashboards, and IT-driven solutions; gain exposure to Databricks and machine learning concepts while translating findings into stakeholder-ready insights.

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 group-wide HR data consistency, reporting, and systems (e.g., SAP SuccessFactors). Analyze large HR datasets, align data structures, drive migrations, implement data governance, document mappings and playbooks, and communicate findings to non-technical stakeholders while ensuring GDPR compliance and protecting sensitive HR data.

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 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 Digital Marketing Data Analyst will analyze marketing data, optimize campaigns, create reports, and enhance performance programs across digital platforms.

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

As a Product Analyst, you'll monitor A/B tests, analyze user behavior, generate hypotheses with teams, and provide data-backed product recommendations.

Analyze billing performance, build and maintain data pipelines, run A/B tests, apply statistical forecasting and scenario modeling, collaborate with cross-functional teams, and provide recommendations to reduce risk, disputes, churn, and operational inefficiencies.

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

The Master Data Analyst supports master data creation, governance, and maintenance in ERP systems, ensuring data accuracy and compliance while collaborating with teams to resolve discrepancies and drive process improvements.