Top Data Analyst Jobs in Germany

Develop and monitor data models for logistics and operational systems within a Microsoft Cloud Data Lakehouse. Gather requirements from internal customers, recommend solutions and visualizations, build Power BI reports, analyze large datasets, ensure data quality, derive actionable recommendations, communicate findings, and train BI community members.

Own marketing analytics, funnel reporting, dashboards, attribution, cohort analysis, and conversion rate optimization. Analyze customer journeys from acquisition through retention, identify funnel losses, and design and evaluate A/B and multivariate experiments across landing pages, signup, onboarding, and email. Partner with marketing, product, engineering, RevOps, sales, and leadership to improve measurement, define trusted metrics, and translate findings into prioritized growth recommendations.

Build and improve Enfuce’s people-data foundation by cleaning, structuring, connecting, and governing data across systems. Develop trusted BI reporting, analyze engagement, retention, workforce efficiency, and headcount trends, and provide actionable recommendations. Define success measures and evaluate people initiatives. Partner with the People, Data & AI, Finance, and People Product teams to support AI-powered automations and products using reliable data.

Develop procurement data pipelines, models, automated reporting, and Power BI dashboards across European markets. Analyze supplier performance, purchasing conditions, payment terms, volumes, profitability, and procurement KPIs. Improve data quality, governance, and reporting consistency while reducing manual Excel workflows. Collaborate with Strategic Procurement, Data/BI, and Finance to translate business needs into scalable analytics solutions.

Analyze hotel supply data to support commercial and Cloud teams, evaluate partner and chain performance, identify inventory gaps and data-quality issues, and improve reporting consistency. The role involves clarifying ambiguous requests, delivering end-to-end analyses, building trusted dashboards or data products, and communicating findings to nontechnical stakeholders. Experience with SQL is required, while dbt, data modeling, and marketplace or platform experience are advantageous.

Own analytics for Nuitee’s global travel marketplace, analyzing enterprise partners, self-service API adoption, bookings, product performance, and customer behavior. Build and validate dbt models, data pipelines, experimentation capabilities, and analytical products end to end. Partner with senior Product, Engineering, and commercial leaders to establish trusted metrics, resolve reporting inconsistencies, identify growth opportunities, and influence product and business decisions in a fast-moving startup environment.

Own A/B testing and analysis for Paper.io 2, using large datasets to uncover player behavior and growth opportunities. Translate insights into game design and product roadmap recommendations, optimize monetization and core KPIs, and build dashboards and reports. Collaborate with designers, product managers, and developers in a fast-paced live-ops environment.

Leads strategic analytics for Logistics Key Account Management, serving as the analytical authority across logistics, markets, and propositions. Responsibilities include complex problem solving, root cause analysis, KPI target definition, performance steering, scalable review procedures, continuous improvement, service-needs mapping, impact assessment, and roadmap facilitation. The role translates complex data into actionable recommendations and advises stakeholders without directly managing logistics operations.

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.

Leads advanced data analysis, business intelligence, dashboard development, data modeling, and visualization focused on commodities and critical materials markets. Partners with senior stakeholders to generate insights, define KPIs, improve data quality, support strategic decisions, and establish analytics governance. The role also develops self-service BI solutions, integrates data sources, mentors junior analysts, and evaluates forecasting, predictive analytics, and scenario modeling approaches.

Analyze product, commercial, and financial performance across mobile gaming. Partner with cross-functional teams to frame ambiguous questions, design experiments, build dashboards, improve data quality, and deliver evidence-based recommendations. Use Claude, Databricks, Spark, SQL, and Python for analysis and automation, working with high-frequency data and supporting decisions on prioritization, budgets, profitability, and growth.

Analyze Gecko browser-engine telemetry across Desktop and Android, building dashboards, auditing data collection, sanitizing bot and hardware-related noise, and producing statistical analyses linking technical performance to user behavior. The role translates engineering data into product and leadership insights, supports performance prioritization, and requires independent problem-solving across unfamiliar technical domains.

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.

Owns data collection, analysis, reporting, and dashboard development across Sales, Product, Marketing, and executive teams. The role identifies trends, risks, and opportunities; translates complex findings into strategic recommendations; ensures data quality; supports AI and automation initiatives; and promotes data literacy. The analyst partners cross-functionally to improve business processes and inform growth decisions across a global digital art marketplace.

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.

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.

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.

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.