Top Data Analyst Jobs in Germany

Lead design and development of Tabular/Databricks data models and Power BI Cloud dashboards to support financial forecasting, cost control, and profitability analysis. Partner with Finance, Controlling, and Business Operations to perform in-depth financial and operational analyses, identify trends and deviations, and present actionable recommendations to leadership.

Work embedded in the Customer Risk Lifecycle team to enable data-driven decisions. Design experiments, analyse initiative effectiveness, build dashboards and self-serve analytics foundations, collaborate with product, design and engineering, and improve organisational data literacy.

Analyze and process tumor-derived NGS datasets (RNA‑Seq, WES, WGS, single‑cell), develop and apply bioinformatics pipelines, interpret cancer genomics results, collaborate with multidisciplinary teams, and contribute to diagnostic solution development.

As a Data Analyst, you will analyze data, define KPIs, collaborate with stakeholders, create advanced analysis and dashboards, and support business decisions.

Lead and grow the RevOrg analytics team, own revenue KPIs, reporting, forecasting, attribution, and data governance. Align GTM functions on unified metrics, drive data quality and scalable analytics frameworks, and deliver executive-ready insights to support predictable SaaS revenue growth.

Lead end-to-end revenue analytics and forecasting, build lifecycle dashboards, develop multi-touch attribution, measure marketing and sales productivity, and drive data quality and governance across CRM and GTM systems.

Analyze stock, WIP, lead-time, and budget data from MAXIM, BW and SAP to maintain financial and production models; track variances and forecasts; deliver BOM analytics and spend presentations; resolve data issues across Procurement, Finance, BTS, Contracts and Operations; set inventory targets and support deployment of material planning systems.

Lead acquisition measurement via Marketing Mix Modeling and experiment design; partner with marketing stakeholders and senior leadership to define measurement roadmaps, build scalable data models and self-serve dashboards, document insights, and drive data-driven decisions across acquisition channels.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

Analyze large-scale engineering, manufacturing, and customer datasets to identify trends, anomalies, and root causes. Perform advanced statistical and correlation analyses, qualification/validation studies, and rapid ad-hoc investigations. Integrate AI/ML methods, automate analytical workflows, and communicate findings to technical and non-technical stakeholders to improve product quality and manufacturing outcomes.

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.

Lead design and delivery of scalable analytics solutions using dbt, SQL, Databricks and Microsoft Fabric. Build Power BI dashboards and semantic models, collaborate with product and business stakeholders, modernise cloud analytics, mentor analysts, and promote analytics best practices including AI-assisted capabilities.

Collect, clean, and analyze large datasets to measure digital campaign performance, identify trends and causal impact, run experiments, build predictive models, and create visualizations and dashboards to inform business decisions.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

Analyze complex production and quality data to identify trends, root causes, and correlations across the global supply chain. Deliver reproducible, statistically rigorous insights against production KPIs, perform ad-hoc analyses, and communicate findings to diverse technical stakeholders to support resolution of product quality and production issues.

The Staff Data Analyst in Marketing Analytics develops statistical models, performs quantitative analysis, proposes marketing strategies, and mentors others while collaborating with marketing and data engineering teams.

The Data Analyst will own analytics projects, develop customer-facing data products, conduct quantitative analysis, and drive decision-making through data insights.

As a Data Analyst, analyze user behavior and product performance to create reports and dashboards, collaborating with teams for data-driven insights.

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.

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.

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.

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.

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.