Top Data Analyst Jobs in Germany

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 revenue streams, customer behavior, and market trends to identify growth drivers. Build predictive models, run A/B tests, create dashboards and reports, and translate insights into recommendations for pricing, marketing, sales, and retention. Collaborate with Sales, Marketing, Product, and data engineering to ensure data quality and support strategic revenue optimisation.

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.

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 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.

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 with product squads to discover opportunities, run analyses and A/B tests, own end-to-end investigations, create dashboards, and recommend data-driven product decisions to stakeholders and senior management.

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.

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.

Support digital transformation by applying ad-hoc data analytics, identifying big data and AI use cases, deploying AI workloads on Red Hat OpenShift, specifying and developing reports with business stakeholders, and migrating Excel-based tools to automated solutions using Palantir Foundry, Red Hat OpenShift AI and TIBCO Spotfire.

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 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.

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.

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.

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

Lead finance analytics by translating ambiguous questions into clear deliverables; build production-grade SQL/Python analytics, design and maintain dbt data models, automate ETL, create dashboards, ensure data quality, mentor junior analysts, and collaborate with finance, engineering, and data teams.

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.