Top Data Analyst Jobs in Poland

Work on supply-side product and business analytics for direct accommodation contracts. Build and automate reporting, analyze internal/external data, design prioritization/segmentation and predictive algorithms, and partner with product, commercial, and international teams to improve supplier performance and guide strategic decisions.

Conduct exploratory and business data analysis, build and maintain dashboards, translate stakeholder needs into data work, support experiments and investigations, and document queries and standards. Present actionable findings clearly to nontechnical colleagues while ensuring data accuracy and reliability. The role includes working with SQL and data visualization, with opportunities to use Metabase, dbt, Python, or R.

The Commissions Analyst optimizes financial performance by managing variable compensation processes, resolving inquiries, and overseeing data accuracy in compensation management.

The Senior Data Analyst will provide product, operations, and business analytics; analyze internal, market, and customer data; translate findings into actionable insights; improve product features; define data models; ensure data quality; and build dashboards and analytical models using Snowflake, Looker, Amplitude, and related tools. The role also involves A/B testing, causal inference, stakeholder communication, and collaboration with data engineers.

Ensures accurate, reliable, and timely client data delivery by cleaning, transforming, validating, and monitoring workflows. Investigates data inconsistencies, maintains data integrity standards, documents processes, and collaborates with cross-functional teams to meet operational and client needs. The role also supports process improvements, efficiency, scalability, and effective management of multiple workflows and deadlines.

Ensures accurate, reliable, and timely client data delivery by cleaning, transforming, validating, and monitoring data workflows. Investigates data inconsistencies, maintains data integrity standards, documents processes, collaborates with cross-functional teams, and contributes to process improvements that increase operational efficiency and scalability.

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.

Collects and analyzes consumer, market, and campaign data; develops statistical models, dashboards, and customer presentations; and collaborates with teams to explain insights and support business decisions. The role requires analytical problem-solving, data pipeline and dataset experience, strong Excel and PowerPoint skills, and professional English communication. Recent graduates and candidates with 1–3 years of analytics or marketing analytics experience are encouraged to apply.

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.

Analyzes clinical and operational data to support risk-based quality management and data surveillance. Develops surveillance plans, configures monitoring technologies, evaluates trends and outliers, identifies data quality issues, documents findings, and supports project reviews, meetings, audits, and regulatory inspections. The role requires programming in SAS, R, or SQL, data analysis expertise, familiarity with centralized monitoring and SDTM, and strong communication skills.

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.

Design and run quantitative research, integrate survey, CRM, digital and revenue data, perform advanced statistical analyses and segmentation, build dashboards, and translate insights into actionable recommendations for stakeholders.

Ensures accurate, reliable, and timely delivery of client data by cleaning, transforming, validating, and monitoring data workflows. Investigates data inconsistencies, maintains data integrity standards, documents processes, collaborates with cross-functional teams, and contributes to process improvements that increase operational efficiency and scalability.

Processes, transforms, validates, and monitors data workflows to ensure accuracy, integrity, quality, and timely client delivery. Investigates data inconsistencies and anomalies, documents workflows and standards, collaborates with cross-functional teams, and contributes to process improvements that increase efficiency and scalability. The role also requires managing multiple priorities, deadlines, and operational tasks while supporting client requirements.

Researches and verifies legal-entity information using online sources, official registries, and company websites. Maintains and updates the bank’s reference database according to internal procedures and regulatory requirements. Reviews data credibility, identifies ownership and company-detail changes, supports global and local projects, and communicates findings with international partners. The role requires strong English, analytical decision-making, document review, basic Excel skills, and effective time management under pressure.

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.

Maintain and authenticate Standard Settlement Instructions (SSI) across regions and systems, perform trend and root-cause analysis, remediate data quality issues with global teams, confirm financial data via internal/external systems, provide stakeholder support and metrics, and manage data remediation workstreams.

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.

Analyze sales and commission data, translate business needs into technical requirements, design and test calculation logic and system configurations, validate calculations using SQL and Excel/VBA, support implementations, training, and process optimization for global clients, and occasionally travel for business.

Support marketing and commercial teams by delivering analytics and insights, building dashboards and self-service reports, automating ETL and data workflows with SQL and Python, contributing to data products (e.g., contact DataMart), and supporting campaign setup, audience selection, and lead processing.

Produce and maintain automated Looker dashboards and semantic models, translate supply-chain telemetry into insights, optimise BigQuery SQL, clean and model WMS/ERP data, run statistical analyses, and embed AI-assisted workflows to improve inbound stock flows and warehouse throughput.

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.