Top Data Analyst Jobs in Poland

Analyze, transform, validate, and investigate large datasets using SQL, Python, and PySpark. Develop ETL processes, resolve data quality issues, document data mappings and transformation rules, and support regulatory and management reporting. Collaborate with data engineers, business analysts, and stakeholders on corporate banking and financial services data, including ESG and regulatory reporting.

Analyzes enterprise data across PostgreSQL, Salesforce, Splunk, and integrated systems. Writes complex SQL queries, investigates logs and data discrepancies, performs reconciliation and validation, identifies root causes, and recommends improvements. Collaborates with technical and business stakeholders to translate requirements into actionable insights, document findings, resolve cross-system issues, and improve data quality and operational efficiency in a financial services environment.

Own and support daily and monthly liquidity risk reporting, including LCR, ALMM, NSFR, stress reporting, and regulatory submissions to global regulators. Analyze large financial datasets, reconcile products, investigate variances, correct data issues, and improve reporting processes using Alteryx, Tableau, and Excel. Collaborate with global stakeholders and support AI-enabled reporting infrastructure while reducing operational risk.

Transforms global procurement data into strategic insights by consolidating ERP and P2P data, automating BI dashboards, identifying sourcing and savings opportunities, and validating EBITDA savings with Finance. Partners with Category Managers, Corporate Finance, and FP&A while presenting executive-level findings. The role requires advanced analytics, SQL, BI, enterprise procurement systems, and strong English communication skills.

Analyze large-scale IT infrastructure and asset data; build ETL/ELT pipelines, optimized SQL queries, data models, and interactive Power BI dashboards. Translate stakeholder and client needs into data solutions, ensure data quality and governance, and apply generative AI and LLM technologies to improve analytics workflows and operational efficiency.

Analyze large-scale IT infrastructure and asset data; build ETL/ELT pipelines, optimized SQL queries, and interactive Power BI dashboards. Translate stakeholder and customer needs into data solutions, support data modeling and governance, improve data quality, and evaluate generative AI and LLM technologies for automation and analytical workflows.

Analyze workforce metrics including headcount, labor costs, turnover, absence, engagement, and diversity. Develop and automate HR reports, dashboards, and KPIs; support budgeting, workforce planning, surveys, rewards cycles, and redundancy cost allocation. Ensure HR data accuracy, privacy, and compliance through quality checks and reconciliations. Provide ad hoc analysis, collaborate with HR and Finance stakeholders, and improve reporting through digital tools.

Analyzes distributor end-user sales, price claims, and commercial operations data across Western Europe. Maintains the Commercial Excellence database, develops Excel-based incentive tools, supports reporting and local analytics, collaborates with commercial and bids and tenders teams, and contributes to process improvement initiatives.

Analyze marketing spend, attribution, and performance data to identify growth opportunities and guide channel decisions. Own analytical projects from scoping through impact measurement, using SQL, Tableau, and AI tools to build reliable analyses and visualizations. Partner with marketing leaders across affiliates, influencers, PPC, SEO, and product marketing, while collaborating with the Data Platform team to improve data availability and scalable workflows.

Analyze and visualize large-scale IT infrastructure and asset data. Build and maintain ETL/ELT pipelines, optimized SQL queries, data models, and interactive Power BI dashboards. Engage customers and engineering teams to translate business needs into data solutions, resolve complex data challenges, integrate AI technologies, and support data quality, governance, mapping, and normalization initiatives.

Analyze large-scale IT infrastructure and asset data, build ETL/ELT pipelines, develop optimized SQL queries, and create Power BI dashboards. Translate stakeholder and customer requirements into data solutions, support data quality and governance, and apply generative AI and LLM technologies to improve analytical workflows and operational efficiency.

Analyzes and cleans customer and company data, maintains databases and data systems, identifies trends, produces reports, monitors KPIs, and supports business process improvements. The role requires collaboration with management and data professionals, statistical analysis, data quality monitoring, and communicating findings. Preferred experience includes Power BI, SAP or ERP systems, Alteryx, and service organizations.

Analyze B2B commercial data to identify growth opportunities, design experiments, evaluate pricing and credit-limit initiatives, and measure business impact. Apply SQL, Python, statistical analysis, A/B testing, difference-in-differences, causal inference, and forecasting methods. Work independently with commercial and project teams to support pricing, market expansion, and partner analytics decisions.

Leads compliance technology and data initiatives for KYC, KYB, AML, underwriting, fraud prevention, and risk management. The role analyzes and automates workflows using AI, ML, OCR, RPA, regex, and LLMs; validates models and data; integrates identity, CRM, and lifecycle systems; develops risk scoring and decisioning solutions; ensures regulatory and ethical compliance; and collaborates with Engineering, Operations, Data Services, and Product teams.

Monitor market events and new bond issuances, source and process financial data, perform quality-control checks, and ensure data accuracy, completeness, and timeliness. Respond to client inquiries and escalations, collaborate with fixed-income analysts, identify and resolve data issues, support regional projects, and recommend process improvements. The role requires debt-market knowledge, analytical research, strong communication, Excel proficiency, and attention to detail.

Analyze hotel supply data to support commercial and Cloud teams, evaluate partner and chain performance, identify inventory gaps and data-quality issues, and improve reporting consistency. The role involves clarifying ambiguous requests, delivering end-to-end analyses, building trusted dashboards or data products, and communicating findings to nontechnical stakeholders. Experience with SQL is required, while dbt, data modeling, and marketplace or platform experience are advantageous.

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

Analyze and validate mortgage and Credit Risk data, reconcile data across sources, test reporting data completeness and accuracy, investigate data quality issues, and document findings. The role supports mortgage-domain transformation initiatives and requires collaboration with business and technical stakeholders to ensure data correctness and reporting integrity.

Performs full-lifecycle data analytics, including data cleaning, database linking, statistical analysis, predictive modeling, reporting, visualization, and quality control. Develops Power BI dashboards and Excel reports, analyzes Medicaid claims and utilization data, identifies systemic data-quality issues, and presents findings to stakeholders. Works independently with complex state data systems, including MMIS and integrated datasets, while supporting CMS reporting and process improvements.

Own analytics for Nuitee’s global travel marketplace, analyzing enterprise partners, self-service API adoption, bookings, product performance, and customer behavior. Build and validate dbt models, data pipelines, experimentation capabilities, and analytical products end to end. Partner with senior Product, Engineering, and commercial leaders to establish trusted metrics, resolve reporting inconsistencies, identify growth opportunities, and influence product and business decisions in a fast-moving startup environment.

Analyze high-volume battery telemetry data, build machine learning models for degradation, failure prediction, anomaly detection, and predictive maintenance, and develop AI-driven optimization strategies for energy storage operations. Create automated dashboards, perform root cause analysis on cell and module deviations, collaborate with engineering teams, and maintain documented, reproducible analytical pipelines.

Own A/B testing and analysis for Paper.io 2, using large datasets to uncover player behavior and growth opportunities. Translate insights into game design and product roadmap recommendations, optimize monetization and core KPIs, and build dashboards and reports. Collaborate with designers, product managers, and developers in a fast-paced live-ops environment.

Manages confidential-data access governance, including access requests, recertifications, removals, exceptions, stakeholder support, audit evidence, and data-quality checks. Uses SQL, Alteryx, Snowflake, and Excel for reconciliation and reporting. Partners with technology teams and data owners to resolve issues, maintain procedures, validate automated outputs, and improve controlled workflows while supporting audit readiness and risk management.

Develop and support enterprise Power BI solutions, including dashboards, reports, semantic data models, ETL processes, and governed datasets. Translate business requirements into scalable insights, apply dimensional modeling and DAX, optimize performance and refresh efficiency, ensure data quality, and standardize KPI reporting. Collaborate with data owners and global business partners while supporting secure, accurate, and actionable decision-making.

Supports customer account opening and maintenance by managing client reference and static data across systems. Performs trend and root-cause analysis, coordinates global data remediation, troubleshoots and escalates issues, provides internal customer service, and delivers management metrics. The role operates on an eight-hour shift schedule and requires strong English communication, data-quality focus, and familiarity with capital markets environments.