Top Data Analyst Jobs in Krakow

Analyze, validate and reconcile capital markets data; build and maintain reports and dashboards from Murex data; translate business requirements into reporting solutions; collaborate with Front Office, Risk, Finance and Ops; perform testing and data quality assurance while learning Murex reporting and data models.

Support regional commercial team and global XPI by collecting, cleaning, integrating, and validating data. Build dashboards and reports, query large datasets with SQL, automate processes with Python, use third-party tools (Clay, Apollo, HG Insights), provide market insights, enable and train local teams, and act as regional contact for data/XPI inquiries.

Lead discovery, elicit and document finance and regulatory reporting data requirements; analyse data lineage, mappings, ingestion and transformation; translate business needs into data solutions; produce project artefacts; collaborate with data architects, engineers and reporting teams; manage stakeholders and run workshops across the project lifecycle.

This role involves designing data architecture, building data transformation pipelines, and maintaining Power BI and Azure solutions. You will ensure data quality and support business intelligence reporting.

The Senior Data Analyst will lead A/B testing for Paper.io 2, analyze complex datasets, provide actionable insights, and collaborate with teams to optimize game performance.

Gather business requirements, analyze and profile enterprise data, develop KPIs, reporting frameworks, and analytical models. Perform forecasting, scenario modeling, and statistical analysis, validate dashboards and reports, and collaborate with business and technical teams to support strategic workforce planning and decision-making.

Analyze website traffic, conversion funnels, and digital campaign performance. Build automated dashboards in Looker Studio or Tableau. Write complex SQL to extract and blend data, manage GA4 tracking and BigQuery exports, generate insights tying web data to business outcomes, and support A/B test analysis for CRO.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

The Revenue Management Pricing Analyst directs price strategy, develops complex pricing models, collaborates with teams, and ensures compliance with standards.

The Senior Procurement Data Analyst analyzes complex datasets and creates reports to support procurement operations and decision-making. Responsibilities include managing data analysis projects, ensuring data quality, and collaborating with stakeholders to define objectives and deliver insights.

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.

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.

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.

Support Global IS Sourcing savings governance and reporting: validate and report savings, resolve data discrepancies, perform supplier spend and cost analyses, and deliver insights to stakeholders.

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.

Support data quality by analyzing multilingual classifier outputs, refining parsers, and translating taxonomy content between English and German while maintaining accuracy in high-volume tasks.

Remote Poland-based data analyst supporting clinical trial reporting and Rave EDC builds. Develops and validates template notebooks, programs data listings, documents business rules, performs data quality audits, conducts descriptive and predictive analyses, and presents actionable insights to stakeholders. Identifies process improvements and implements statistical or mathematical methods as needed.

Partner with Product teams to analyze user journeys, run A/B tests, build dashboards, extract insights using SQL, Tableau and Amplitude, and collaborate with Data Platform engineers to drive data-informed product decisions.

Analyze mobile games data to track performance, design and execute A/B tests, report on user engagement, and recommend optimizations.

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.

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

Design, build, and maintain dashboards and reports; perform ad-hoc analyses and data validation using SQL; implement row-level security; collaborate with Analytics Engineers and stakeholders to enable self-service analytics and improve reporting on modern data platforms.

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.