Top Data Analyst Jobs in Krakow

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.

Analyze payments data, integrate complex data sources, maintain performance reports, monitor KPIs, and identify opportunities to optimize payment routing and reduce failures and costs. The role collaborates with Payment Operations, Product, Finance, Customer Support, analysts, and engineers to ensure data quality and deliver actionable insights through ad hoc analysis, dashboards, and automated reporting.

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.

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.

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.

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.

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.

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.

Analyzes business, data, and reporting requirements; manages and refines the product backlog with the Product Owner; defines user stories, acceptance criteria, KPIs, data mappings, and functional specifications; supports Scrum ceremonies, prioritization, and stakeholder workshops; collaborates with data engineers, BI developers, Scrum Masters, and business teams to deliver analytics and reporting solutions.

Owns end-to-end product and commercial analytics for an AI cloud platform, including metric definition, customer health, capacity forecasting, utilization, pricing, packaging, segmentation, and monetization. Analyzes large-scale customer and usage datasets, builds production-ready data solutions, and delivers recommendations across Product, Engineering, Finance, Sales, and Operations. The role requires strong Python, SQL, statistics, commercial judgment, and familiarity with consumption-based technical products.

Analyze large-scale user and product data, design and evaluate A/B tests, define and validate product and business metrics, build dashboards and reports, and partner with engineers, data scientists, product, and customers to translate insights into product improvements.

Analyze complex datasets to identify trends, generate actionable business insights, and support decision-making. Build dashboards, reports, and visualizations using Tableau, Power BI, or Looker. Collaborate with product, engineering, operational, clinical, and business teams on reporting requirements, data quality, governance, data models, cloud warehouses, ETL, and statistical analysis. Communicate findings clearly and support scalable analytics processes across client projects.

Collects and analyzes data across finance, operations, sales, marketing, and creative departments. Builds executive dashboards, reports, forecasts, business models, and cost-benefit analyses to support strategic decisions and revenue growth. Translates complex findings into clear presentations for technical and non-technical audiences, identifies optimization opportunities, supports client reporting, and provides recommendations to company leadership in a fully remote advertising-agency environment.

Lead analytics for subscription products and web funnels, partnering with Product, Marketing, and Data teams to improve conversion, retention, and LTV. Build trusted dashboards, SQL data models, event tracking structures, funnel and cohort analyses, and A/B testing insights. Monitor metrics, identify anomalies, communicate recommendations, and mentor junior and mid-level analysts while maintaining reliable reporting and data foundations.

Leads advanced data analysis, reporting, dashboard, and data-model development to support strategic decisions and operational efficiency. Analyzes complex datasets, identifies trends and opportunities, defines KPIs, ensures data integrity, automates workflows with AI tools, and presents actionable insights to senior leadership. The role also mentors junior analysts, drives process improvements, and maintains documentation.

Build and maintain ETL/ELT pipelines, cloud data warehouse models, dashboards, and reports. Ensure data quality, governance, lineage, and reliable metric definitions while translating stakeholder needs into actionable analytics. Support AI-enabled reporting, natural-language querying, anomaly detection, and governed LLM tools. Collaborate with business, IT, and engineering teams to automate reporting and improve self-service data access.

Analyze FMCG sales, pricing, promotions, customer, product, margin, market share, and competitor data to support revenue growth management. Develop pricing and price elasticity models, identify commercial opportunities, create visualizations and actionable insights, and translate analytical needs into product requirements, user stories, and business rules. Collaborate with stakeholders, product managers, data engineers, developers, and commercial teams to build scalable digital analytics solutions.

Analyze and improve fraud signals and user segmentation for Puzzleplay’s rewards platform. Investigate suspicious and manually reviewed users, monitor segment effectiveness, identify gaps in detection, and recommend verification tools. Collaborate with product and data teams to turn analysis into operational fraud controls across different markets as fraud patterns evolve.

Define and document data governance operating models, metadata processes, ownership frameworks, classification standards, lineage practices, and business processes. Gather requirements, connect business knowledge to technical assets, support governance implementation in Knowledge Catalog, and prepare project documentation. Facilitate stakeholder workshops, training, knowledge transfer, and change adoption while collaborating with cross-functional business and technical teams.

Own regulatory analytics and reporting by building audit-ready datasets, pipelines, dashboards, compliance metrics, and automated workflows. Analyze complex data, monitor quality, support audits and regulatory exams, and deliver actionable insights to compliance teams and leadership. Translate regulatory requirements into accurate reports using Python, SQL, dbt, and Airflow while partnering cross-functionally to manage data issues and remediation.

Analyze large datasets covering customer behavior, marketing campaigns, and business performance. Build analytical datasets with SQL and PySpark, transform multi-source data, ensure data quality, and support segmentation, funnel, retention, churn, ROI, and campaign analysis. Collaborate with marketing analysts, stakeholders, and data teams to resolve data issues, improve workflows, optimize data models, and deliver ad hoc insights.

Own end-to-end analytics for subscription products and web funnels, including KPI definition, dashboards, funnel and cohort analysis, payment performance, user behavior, experimentation, and anomaly monitoring. Build reliable SQL data models and maintain event taxonomies and tracking. Partner cross-functionally with Product, Marketing, Engineering, Finance, and BI to improve conversion, retention, revenue, and LTV. Mentor analysts and communicate actionable recommendations to stakeholders.