Top Data Analyst Jobs in Poland

The Reference Data Services Analyst is responsible for customer interactions, documenting reviews, analyzing processes, and providing high-level customer service while streamlining onboarding processes.

The Senior Data Analyst will create and enhance reports, analyze data, provide insights, and design data models using SQL, collaborating with various teams to drive decision-making.

Handle escalated HR inquiries and complex Workday transactions, ensure data integrity, monitor SLA/queue performance, support QA/UAT and reporting, coach junior analysts, maintain SOPs and knowledge articles, and partner with HRBPs on complex employee cases to improve processes and service delivery.

Serve as Workday subject-matter expert for pre-payroll and HR operations. Own employee data integrity, resolve complex escalations, run audits and reports, partner with Payroll/Finance, drive process standardization and automation, support system enhancements and UAT, maintain SOPs/knowledge articles, and mentor junior team members.

Drive Turkish market data quality, timeliness and Technical Day One implementations. Act as subject-matter expert on ETC datasets and LSEG products, resolve data issues, design QC, deliver TD1 projects, support project planning and documentation, lead data recovery during outages, represent the team with customers, and implement process and content improvements.

Analyze clinical and operational study data to support data surveillance, develop Data Surveillance Plans and Quality Tolerance Limits, configure surveillance technologies, identify trends/outliers/risks, document and present findings, collaborate with cross-functional teams, support meetings/audits, drive remediation actions and close-out activities while ensuring compliance with ICH-GCP and company SOPs.

Analyze complex datasets, write and optimize SQL, ensure data quality, profile and investigate data sources, document data flows and business logic, collaborate with engineering and product teams, support UAT and post-production, and contribute to data modelling and metadata management.

Perform deep-dive analyses of player behavior and in-game economy, provide strategic recommendations to product and monetization teams, build interactive Tableau dashboards to monitor KPIs, collaborate with data engineering and design, translate complex data into clear narratives, identify optimization opportunities across the player journey, and mentor junior analysts.

The Business Analyst will bridge business stakeholders and technical teams, focusing on Oracle CDM, data analysis, requirement gathering, and process documentation to ensure data quality and management.

The Senior Data Analyst will gather requirements, manage stakeholders, analyze complex datasets, and create data models and dashboards using various tools. The role emphasizes improving business data understanding and cleansing, while collaborating closely with stakeholders.

The role involves developing business indicators, designing machine learning models, leading analytics projects, and supporting AI initiatives to deliver actionable insights from data.

The Data Governance & Quality Analyst ensures data accuracy and consistency, supports decision-making, and drives data quality improvements.

Perform hands-on data analysis and support EMEA commercial and sales teams. Build and maintain Power BI dashboards and reports, optimize SQL queries, support data modeling and ELT processes, manage Power Automate workflows, ensure reporting accuracy, handle ad-hoc requests, and collaborate with senior analysts while contributing to process improvements and learning.

Design, build, test and support batch and streaming data pipelines and curated datasets on a Lakehouse/AI data platform. Implement data modelling, schema evolution, partitioning and data quality controls. Work with stakeholders to deliver production-ready, well-tested, high-performance data products and support operational monitoring and reconciliation.

Develop and upgrade LCA datasets and models in Sphera LCA for Experts, support Data-on-Demand and client projects, handle customer inquiries, categorize JIRA issues, and drive AI/tool adoption to improve data management and processes.

Lead and improve LCA database content and models, develop Data-on-Demand datasets, support customers on MLC database topics, triage JIRA issues, and promote AI/tool use to optimize data management.

The IS Functional Analyst will provide technical and business process advice, oversee software development, and ensure effective data and solution integration within project management applications.

The Reference Data Services Analyst is responsible for data management, ensuring accuracy, collaborating with teams, and adhering to governance policies.

Search, verify, and maintain legal entity reference data using public registries and company websites. Update the banks database per procedures, communicate with global partners, and contribute to local and global projects while ensuring data credibility and regulatory alignment.

The Contract Senior Analyst leads technical data exploration, analysis, and prototyping to assess data partnerships, create dashboards, and generate actionable insights.

The Business System Analyst collects and analyzes requirements for IT solutions, verifies business needs, and advises on optimal solutions, while cooperating with internal and external partners.

The BI Analyst develops and enhances BI reports and dashboards across various corporate functions, ensuring high data reliability and promoting best practices in data visualization.

Maintain and oversee creation and upkeep of customer accounts, security and pricing data across systems. Identify data quality improvements, troubleshoot and escalate issues, supervise junior staff, deliver project initiatives, and provide shift coverage for EMEA and NAM.

The Reference Data Services Analyst role involves managing data remediation, performing analyses, liaising globally for data quality, and ensuring compliance within a financial context.

The Senior Data Analyst will analyze business processes for optimization, conduct client discovery sessions, design pricing experiments, train users, and monitor pricing performance to drive adoption and maximize platform value.