Top Data Analyst Jobs in Berlin

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 acquisition measurement via Marketing Mix Modeling and experiment design; partner with marketing stakeholders and senior leadership to define measurement roadmaps, build scalable data models and self-serve dashboards, document insights, and drive data-driven decisions across acquisition channels.

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.

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.

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

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

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.

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.

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.

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.

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 drive analytics strategy, partner with leadership, design dashboards, and enhance AI analytics, focusing on B2B SaaS metrics.

The Senior Data Analyst will own reporting topics, support audits, design dashboards, lead BI initiatives, and drive effective decision-making in a fast-growing fintech company.

The role involves developing a data governance framework, ensuring data integrity, tracking data quality, and collaborating with teams to resolve discrepancies. Requires expertise in SQL and Python, along with experience in data analysis and documentation.

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

Support billing and payments by extracting and analyzing financial data with SQL and spreadsheets, reconcile transactions across platforms, resolve discrepancies with external partners, and build reports and dashboards translating technical findings into business insights.

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.

Maintain and validate global customer master data across systems (Salesforce, Jira), perform deduplication and hierarchy management, conduct compliance checks (embargo/VAT screening), monitor CMD dashboards, support cross-functional teams to resolve data anomalies, and drive data integrity projects and process improvements.

Support a UK healthcare/pharmacy client in enterprise data strategy, governance and data quality. Coordinate data backlog, establish governance and ownership models, contribute to customer data strategy, and help define reporting and analytics operating models. Prepare analysis, documentation and recommendations for programme decision-making.