Top Data Analyst Jobs in Germany

Analyze machine learning model performance, investigate gaps between offline predictions and real-world outcomes, define model and business metrics, and design A/B tests. Build dashboards and automated reports, evaluate statistical significance and business impact, and translate complex findings into recommendations for Data Science, Product, and Business teams. The role also documents reusable analytical methods and challenges technical and product decisions with data.

Analyze enterprise publisher data to monitor contractual commitments and business KPIs, identify risks, forecast performance, and uncover growth opportunities. Build automated reports, dashboards, and alerts, investigate trends, and prepare insights for Quarterly Business Reviews. Partner with Growth Managers and Partner Operations to support informed decisions and improve publisher outcomes.

Analyze and profile source data, map source-to-target flows, define transformation logic, and develop data models and documentation. Translate stakeholder needs into functional and technical requirements, facilitate workshops, define data and KPI standards, support agile delivery and UAT, and validate solutions with architects, engineers, QA, and business teams.

Monitor and analyze macroeconomic, market, industry, technology, and semiconductor developments. Conduct market research to identify business opportunities, translate insights into strategic recommendations, support cross-functional projects, and assist management with urgent internal and external tasks.

Analyze FMCG sales, pricing, promotions, customer, product, margin, market share, and competitor data to support revenue growth management. Develop pricing and price elasticity models, identify commercial opportunities, create visualizations and actionable insights, and translate analytical needs into product requirements, user stories, and business rules. Collaborate with stakeholders, product managers, data engineers, developers, and commercial teams to build scalable digital analytics solutions.

Own fraud-focused user segmentation for Puzzleplay. Analyze and refine fraud signals, investigate flagged users, monitor segment effectiveness, improve manual review processes, and recommend verification tools. Partner with product and data teams to develop operational fraud controls and adapt detection methods as fraud patterns evolve across markets.

Analyze and improve fraud signals and user segmentation for Puzzleplay’s rewards platform. Investigate suspicious and manually reviewed users, monitor segment effectiveness, identify gaps in detection, and recommend verification tools. Collaborate with product and data teams to turn analysis into operational fraud controls across different markets as fraud patterns evolve.

Analyze large-scale marketing and user acquisition data to measure campaign performance, build automated Tableau dashboards, evaluate A/B tests, and identify growth opportunities. The role develops marketing measurement strategies, integrates attribution data from providers such as AppsFlyer and Kochava, partners with Data Engineering, and communicates actionable recommendations to technical and non-technical stakeholders.

Build end-to-end compliance analytics and data infrastructure for KYC/KYB funnels, remediation campaigns, and financial exposure. Model and transform data with dbt and Omni, create self-service dashboards for product, ops, risk and compliance, and measure campaign impact to drive operational decisions.

Analyze Gecko engine telemetry across desktop and Android to identify data-quality issues, including bot contamination and hardware noise. Build automated dashboards, audit telemetry collection gaps, develop data-sanitization methods, and produce statistical analyses connecting technical performance metrics with user behavior and engagement. Translate complex engineering data into actionable product and budget recommendations for leadership while working independently across Performance, Data, and Product teams.

Analyze manufacturing and production data to identify performance drivers, bottlenecks, anomalies, and optimization opportunities. Build dashboards, reports, data pipelines, features, and quality metrics while collaborating with customers, AI and backend engineers, Product, and Customer Success. Translate operational insights into improvements for customer outcomes and the company’s AI analytics platform. Occasional travel to manufacturing plants is required.

Lead experimentation and A/B testing analyses using SQL and Python on large-scale data (100TB). Design experiments, compute sample sizes, apply variance reduction, detect anomalies, automate reporting and dashboards, and collaborate with product, engineering, and growth teams to translate results into business decisions.

Leads business analysis for global data, reporting, analytics, and data-platform initiatives. Gathers and translates business requirements into functional specifications, user stories, process maps, dashboards, data products, and delivery outcomes. Coordinates stakeholders, solution definition, testing, user acceptance, adoption, governance, data quality, security, and ongoing enhancements. Supports Microsoft Fabric, Power BI, ETL, data warehousing, semantic models, and governed analytics capabilities.

Own GTM and sales analytics across pipeline performance, forecasting, funnel conversion, win/loss analysis, lead and account scoring, territory planning, quota modeling, and capacity planning. Partner with RevOps, Sales, Product, Finance, and Analytics Engineering to improve metric definitions, Salesforce and product data models, dashboards, and decision-making. Translate complex analysis into clear recommendations for GTM leadership.

Leads research and advisory work for CIOs on data, analytics, and AI strategy, governance, operating models, architecture, value realization, and emerging technologies. Develops thought leadership, market analysis, presentations, and actionable client guidance; evaluates agentic and composite AI, modern data platforms, AI-ready data, organizational maturity, and capability-building needs. Represents Gartner at client meetings and conferences, supports sales, mentors colleagues, and shapes research agendas.

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

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.

Leads scalable data modeling and analytics initiatives using dbt, SQL, Databricks, and Power BI. Partners with product and business stakeholders to translate requirements into data solutions, develops dashboards and semantic models, supports cloud migration, and improves analytics platform performance. The role also mentors colleagues, promotes analytics best practices, trains users, and contributes to AI-enabled capabilities such as Talk to Data.

Analyze player behavior, engagement, progression, segmentation, cohorts, and A/B tests using SQL and analytical data models. Build reliable, documented datasets, support reporting and visualization, and translate findings into actionable insights for product and game teams. Collaborate cross-functionally to influence roadmap decisions and improve analytical workflows and standards.

Leads analytics within a cross-functional product team by designing scalable data models with dbt, SQL, Databricks, and Microsoft Fabric. Builds Power BI dashboards and semantic models, translates business needs into technical solutions, influences prioritization, modernizes cloud analytics products, and advances self-service and AI-assisted analytics. Mentors analysts, promotes best practices, and collaborates closely with technical and business stakeholders.

Support client projects by structuring business problems, assessing data, selecting analytical approaches, conducting analyses, building and validating models, and translating findings into recommendations. The role involves quantitative consulting across industries, collaboration with clients and project teams, and potential work in AI, credit risk, sustainability, optimization, GenAI, and supply chain analytics. Business fluency in German and English and willingness to travel are required.

Supports client projects by structuring analytical problems, assessing data, selecting analytical methods, conducting analyses, building and validating models, and translating results into recommendations. Work may involve AI, predictive modeling, portfolio decarbonization, credit risk, optimization, chatbots, and supply-chain analytics. The role also includes client collaboration, communicating complex concepts clearly, and contributing to project teams across industries.

Analyze open-ended product and commercial questions to guide decisions across Product, Sales, Customer Success, and leadership. Investigate account growth, retention, expansion, product adoption, funnel performance, experimentation, and pricing. Build dbt models and Looker views to support analysis, communicate clear recommendations, and independently drive the analytical agenda using SQL, Python, BI tools, and AI tools.

Owns business and performance analysis for B2B2C products, partners, and markets. Analyzes large datasets, builds commercial and operational reports, identifies trends and opportunities, and translates findings into recommendations for senior stakeholders. Supports pricing analysis, partner reviews, benchmarking, and business cases while collaborating with Product, Sales, Finance, and Operations. Ensures reporting accuracy and consistent interpretation across dashboards and reports.

Transforms graphene photonics characterization data into insights for device design, process development, and manufacturing. Owns analysis software and scalable data infrastructure, develops methods for evolving experiments, ensures data integrity and traceability, extracts device parameters, performs statistical and yield analyses, correlates measurements with process parameters, and integrates outputs with fab MES systems for real-time process feedback. Requires strong Python development, device physics knowledge, model fitting, visualization, and laboratory or fab instrument experience.