Top Data Analyst Jobs in Germany

Design and build scalable HR data models (Tabular/Databricks) and Power BI Cloud dashboards to surface workforce KPIs. Collaborate with HR stakeholders to analyze hiring, attrition, retention, and headcount forecasting, identify trends, and deliver actionable recommendations to support strategic workforce planning and organizational effectiveness.

Lead technical analyses to detect and prevent ad fraud at scale. Build and optimize SQL/Python data pipelines, apply anomaly detection methods, design experiments, automate reusable analytics frameworks, and communicate findings to technical and non-technical stakeholders to drive business decisions.

Lead cross-functional analytics to drive commercial, marketing, and financial decisions. Monitor performance, model impact, build dashboards and automate reporting, ensure data integrity, and translate ambiguous business questions into decision-ready insights that shape profitability and resource allocation.

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.

Support Special Operations customers by collecting, cleaning, integrating, analyzing, and visualizing multi-source data. Develop dashboards, trackers, and executive-level data products; present findings and recommendations to stakeholders. Translate mission requirements into repeatable data solutions that inform planning, assessment, and decision-making.

Drive development of analytical products and scalable reporting solutions (Power BI, Excel, Snowflake/SQL). Translate complex data into actionable insights for pricing, marketing, and revenue teams. Build, maintain, and optimize automated reports, support revenue optimization and profitability, document data products, and share best practices across the Commercial Intelligence team.

Lead development and optimization of reporting and analytical products (Power BI, Excel, Snowflake) to support pricing, marketing, and revenue decisions. Translate complex data to actionable insights, automate scalable solutions, document data products, collaborate with Revenue Management and Marketing, and mentor team members to advance analytics capabilities.

Perform geospatial and data analysis to support operational planning and strategic assessments across the Africa AOR. Integrate, clean, and visualize structured and unstructured datasets; produce maps, reports, and briefings for senior leaders in classified and unclassified environments.

The Senior Data Engineer will design and build data pipelines, structure data, implement event tracking, and ensure data quality for a no-code platform.

Support a UK healthcare/pharmacy client in enterprise data strategy, governance and data quality. Coordinate data backlog, establish governance and ownership models, contribute to customer data strategy, and help define reporting and analytics operating models. Prepare analysis, documentation and recommendations for programme decision-making.

Lead design and development of scalable data models and Power BI reporting using Databricks, DBT and SQL. Partner with product and business stakeholders to translate requirements, drive analytics delivery, and support cloud migration to modern Azure-based analytics. Mentor colleagues, champion analytics best practices, and contribute to AI-enabled self-service capabilities.

Perform market analysis and build statistical models to estimate and forecast market size and KPIs. Develop reproducible Python workflows, analyze structured and unstructured data, support AI-enabled tools, and collaborate with Data Engineering to scale proprietary data production.

Join Oliver Wyman's Data & Analytics team to design and implement analytic solutions and prototypes for clients across industries. Work on NLP, ML, and GenAI projects, build models (e.g., PD, loss models) in Python/R, validate AI chatbots, and translate complex analytics for client decision-making while collaborating with global teams.

Serve as the bridge between business units and engineering to discover, translate, and prioritize Data & AI requirements. Run workshops, maintain backlog, prototype with AI and low-code tools, coordinate delivery with PMO and engineers, support rollout and adoption, and ensure responsible AI use and stakeholder alignment.

Support Central Europe Data & Analytics by building consistent KPIs and Power BI reports, analysing leasing, occupancy and financial performance, gathering and modelling data from lakes/warehouses, driving AI tool adoption, supporting systems requirements/testing, and partnering with operations and asset teams to improve NOI, reporting and operational execution.

Support billing and payments by extracting and analyzing financial data with SQL and spreadsheets, reconcile transactions across platforms, resolve discrepancies with external partners, and build reports and dashboards translating technical findings into business insights.

The Senior Product Analyst will leverage data and AI to refine product metrics, drive insights, and enhance decision-making within the e-commerce marketplace.

As a Senior Data Analyst in Operations, you'll analyze data to provide insights that drive business decisions, enhance performance, and support strategic initiatives.

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

The Senior Data Analyst will drive analytics strategy, partner with leadership, design dashboards, and enhance AI analytics, focusing on B2B SaaS metrics.

The role involves developing a data governance framework, ensuring data integrity, tracking data quality, and collaborating with teams to resolve discrepancies. Requires expertise in SQL and Python, along with experience in data analysis and documentation.

The Senior Data Analyst will own reporting topics, support audits, design dashboards, lead BI initiatives, and drive effective decision-making in a fast-growing fintech company.