Top Data Analyst Jobs in Poland

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.

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.

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.

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.

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.

Design, build, and maintain dashboards and reports; perform ad-hoc analyses and data validation using SQL; implement row-level security; collaborate with Analytics Engineers and stakeholders to enable self-service analytics and improve reporting on modern data platforms.

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.

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.

Design and analyze A/B tests, perform in-depth analysis with Python and SQL, build dashboards and reports, collaborate with product teams, and recommend product and data process improvements.

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.

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.

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.

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.

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.