Top Data Analyst Jobs in Munich

Leads ad hoc and exploratory analyses for medical and business questions across a global Medical Insights organization. Prepares and validates datasets, translates ambiguous stakeholder needs into decision-ready findings, and maintains analytical documentation. Tests new data sources, methods, and AI-enabled approaches through proof-of-concept analyses to guide platform investments and roadmap decisions. Partners with business and product stakeholders while supporting compliant, reproducible use of regulated data.

Own CRM analytics and reporting across 45+ markets, building Power BI dashboards and automated reporting solutions. Analyze campaign performance, customer behavior, segmentation, retention, conversion, and lifecycle KPIs. Evaluate A/B tests, identify trends and anomalies, and provide actionable recommendations to senior stakeholders. Partner with CRM, product, engineering, and data teams to improve personalization, experimentation, tracking quality, and data reliability.

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.

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.

Own analytical problem statements end to end, including data modeling, datamart development, advanced analysis, dashboard creation, KPI design, and stakeholder communication. Build Tableau and Power BI dashboards, improve data models and reporting performance, maintain reliable reporting extracts, support self-service analytics, and translate complex business questions into actionable insights for senior stakeholders.

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.

Supports data quality, governance, cleansing, migration, reporting, dashboard creation, and operational analytics. The role uses Excel, Power BI, SQL, Power Query, DAX, Power Automate, and AI-assisted tools to validate data, identify trends and anomalies, automate recurring tasks, and communicate insights to business, product, and IT stakeholders. It includes structured onboarding and development toward data analyst, BI analyst, data steward, or data engineering roles.

Support multilingual data quality by analyzing and cleaning text data, developing parsers, evaluating text classifiers, translating taxonomies (Skills, Titles, Occupations), and partnering with Linguistics and Engineering to deliver high-quality global data.

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.

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.

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.

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

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