Top Data Analyst Jobs in Warsaw

Process and validate user access requests and recertifications for confidential-data applications, maintain audit-ready evidence, manage high-volume workloads, escalate and resolve exceptions, support entitlement cleanup and tooling/automation improvements, and compile evidence for audits while partnering with stakeholders and Technology.

Lead data analytics and management to validate regulatory reporting data across regions. Collaborate with finance, regulatory, technology and program teams to scope needs, improve data quality, drive consumption readiness, support regulatory changes, and deliver process and operating model improvements.

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

Develop data-driven insights and strategic recommendations to detect and prevent fraud across channels. Analyze multi-channel fraud trends, evaluate tools and AI use cases, measure control effectiveness, and translate findings into executive-ready, cost‑benefit informed actions to reduce fraud while balancing customer experience and operational efficiency.

The Commercial AI Solutions Analyst will collaborate with teams to implement AI initiatives and ensure data quality for business insights. Responsibilities include data validation, user acceptance testing, and promoting AI literacy within sales.

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.

The Sales Operations Analyst provides data analysis, insights, and strategic support to enhance sales performance, operational efficiency, and revenue growth.

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.

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.

Perform advanced analyses to support pricing, product selection, portfolio, and international expansion decisions. Combine and clean large datasets, identify business problems, design analytical approaches, produce actionable recommendations, report KPIs, and communicate results to business and technical stakeholders in a hybrid Warsaw-based engagement.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

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 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.

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.

Own marketing analytics for performance marketing: measurement frameworks, reporting, A/B test evaluation, LTV prediction, monitoring dashboards/alerts, data pipelines, tracking quality, and enablement for the marketing team.

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.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

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

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.

Process ServiceNow requests per SLA, maintain vendor/customer/employee master data, update chart of accounts, manage intercompany records and project codes, prepare and maintain SOX controls, collaborate with stakeholders, identify process improvements, and provide backup support for team members.

Process ServiceNow requests per SLAs, maintain vendor/customer/employee master data, update chart of accounts and project codes, prepare and maintain SOX controls, implement corrective actions, and support process standardization and stakeholder collaboration.

Provide SQL-driven analysis and data storytelling to inform commercial and operational strategy; build dashboards and metrics, support international and local teams, propose growth initiatives, and drive projects end-to-end from analysis to implementation.

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

Lead embedding real‑time analytics and agentic AI into resilience assurance: build continuous policy validation, predictive compliance models, autonomous AI agents, AI‑augmented audits, automated control testing, and deliver executive guidance and a 3–5 year AI assurance roadmap.