Top Data Analyst Jobs in Germany

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 Data Analyst will partner with Product Managers to analyze user engagement, performance metrics, and provide insights for product development. Responsibilities include defining KPIs, conducting analyses, designing A/B tests, and ensuring data quality.

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.

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

The Business & Data Analyst will analyze B2B2C product performance, identify trends from large datasets, support pricing analyses, and communicate insights to stakeholders.

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

Design and build data models (Tabular/Databricks) and Power BI Cloud dashboards to support financial forecasting, cost control, and profitability analysis. Collaborate with Finance, Controlling, and Operations to perform in-depth financial and operational analyses, surface KPIs, identify trends, and deliver actionable insights and narratives for financial stakeholders.

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.

The Data Analyst will support the Finance team by building and maintaining data models, developing dashboards, and translating data into business insights to influence decision-making.

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.

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.

As a Senior Data Analyst, you will build scalable data models, translate business questions into analytical approaches, and enhance data quality across teams, all while fostering a data-driven culture.

The Data Analyst will leverage data to provide insights, automate reporting, improve customer/vendor experiences, and help reduce returns costs at Quince.

The Data Analyst will analyze user behavior, drive predictive analytics, and optimize marketing strategies using advanced data analysis and modelling techniques. Responsibilities include A/B testing, user segmentation, and collaborating with cross-functional teams to inform strategic decisions.

The Data Analyst at Gamesight will leverage data to optimize creator partnerships and inform marketing strategies for game launches while collaborating with various teams to enhance campaign effectiveness.

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.

The Senior Marketing Data Analyst will lead marketing data analytics, create data models, design dashboards, and use AI tools for insights to optimize marketing strategies.

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.

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.

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.