Top Data Analyst Jobs in Poland

Analyze payment data to explain performance changes, identify trends and anomalies, and support Product, Risk, Finance, and Sales decisions. Prepare and validate datasets, apply statistical methods, build Superset dashboards and Druid cubes, deliver regulatory and stakeholder reporting, and automate recurring analysis. The role also requires presenting actionable insights, translating business questions into analytical work, and collaborating across departments.

Coordinate the functional delivery of a Databricks HR data product that combines Mirakl WiFi, Zoom room booking, and Workday data. Align business, HR, data ownership, privacy, architecture, and engineering stakeholders to define scope, ensure reliability, document the solution, and maintain compliance with data protection requirements.

Owns functional and delivery coordination for data platform initiatives, translating business needs into requirements, user stories, and acceptance criteria. Coordinates stakeholders and engineering teams through discovery, development, validation, acceptance, and handover. Investigates data structures, sources, transformations, business rules, and quality issues using SQL or equivalent tools. Maintains documentation in Confluence and supports reporting and analytics teams with clear data definitions and context.

Lead enterprise Customer 360 and Graph Intelligence business analysis across customer, account, asset, product, contract, finance, service, and interaction data. Gather and document business, functional, and data requirements; facilitate stakeholder workshops; define use cases, KPIs, workflows, user stories, and acceptance criteria. Support prioritization, MVP and roadmap planning, solution delivery, UAT, rollout, adoption, and business-case development while bridging business and technical teams.

Build and maintain Tableau reports and dashboards, administer Tableau Server, and translate complex datasets into clear insights for non-technical stakeholders. Work with SQL and ETL pipelines to integrate and optimize large-scale data, troubleshoot performance, and support analytics team deliverables. Communicate findings, collaborate with peers, and continuously learn.

Maintain sales commission calculation and payment-support processes, calculate commissions for moderately complex plans, investigate commission claims, reconcile accounts, prepare reports, update sales compensation data and system configurations, communicate issues to stakeholders, and implement approved changes that improve data quality and operational efficiency.

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.

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.

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.

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 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.

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.

Maintains and validates master data across systems, resolves discrepancies, supports documentation, quality assurance, reporting, and audit readiness. Collaborates with supply chain, finance, and IT teams to understand data requirements and improve processes. The role operates under supervision and includes training to develop data management, processing, and analytical skills.

Partner with founders and cross-functional teams to analyze financial and operational data, build executive dashboards, create P&L and margin analyses, forecast and model unit economics, identify cost leaks, reconcile transactions, and present recommendations to improve profitability, cash flow, and business performance.

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.

Maintain sales commission calculation and payment processes, calculate commissions for moderately complex plans, investigate claims and reconciliations, prepare reports, update compensation system data and configurations, communicate issues, and implement improvements to data quality and operational efficiency.

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.

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.