Top Data Analyst Jobs in Berlin

Analyze marketing and product data across ad platforms and internal systems, build dbt/BigQuery data models, create Tableau dashboards, run A/B and geo-lift tests, and co-develop/validate media mix models to optimize acquisition, retention, and marketing ROI.

Analyze customer, product, clickstream, and conversion data to improve e-commerce ranking and sorting. Build dashboards, define KPIs, evaluate A/B tests, investigate ranking discrepancies, and identify automation opportunities. Collaborate with data scientists, engineers, and product managers to improve relevance, business performance, and sponsored product delivery. The role offers growth into modeling, scoring logic, data pipelines, data science, or data engineering.

Provides independent technical data analyst support for the M2i raw materials intelligence platform. Responsibilities include designing data models and analytical datasets, integrating and validating data sources, developing and optimizing Power BI reports and Microsoft Fabric components, improving refresh performance, implementing access management and usage monitoring, performing quality assurance, documenting technical solutions, and preparing platform enhancements for future releases.

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.

Analyze product data to identify opportunities, evaluate feature performance, and guide data-driven product decisions. Partner with product squads, engineers, designers, and researchers to define requirements, build analyses and dashboards, maintain ETLs, and evaluate A/B tests. Communicate actionable insights and recommendations to stakeholders and senior management throughout the product lifecycle.

Own B2C marketing KPIs and analyze acquisition funnels, attribution, conversion, trials, and churn. Build reporting frameworks, self-serve data products, and AI-powered insights; improve tracking, measurement, compliance, and advertising-platform data activation. Partner cross-functionally with Marketing, Product, and Data teams to translate complex analyses into actionable growth, budget, channel, and acquisition recommendations.

Analyze and govern commercial data across Finance, Pricing, and Revenue Operations. Build SQL and dbt data pipelines, consumption models, audit-ready data products, and Looker Studio dashboards. Reconcile and validate complex datasets, translate business logic into reliable metrics, and communicate actionable insights to technical and non-technical stakeholders. The role requires close collaboration with globally distributed teams in a hybrid Berlin office environment.

Lead operational analyses and present data-driven recommendations. Query data lakes with SQL, perform deep-dive analysis in Python/R, automate ETL and monitoring, build dashboards (Metabase), and communicate insights to influence business decisions.

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.

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.

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.

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

Transform cloud, AI, SaaS, and on‑prem billing data into forecasts, dashboards, and optimisation recommendations. Build cost models, KPIs, automate pipelines and reporting, validate forecasting tools, drive tagging and allocation strategies, and advise clients through workshops and consulting engagements.

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.

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.

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.

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.

Drive product and business insights through exploratory analysis, metric governance, dashboards, and A/B testing. Partner with Product, Business, Data Platform, and Engineering teams to define success metrics, guide roadmap decisions, improve experimentation, prepare reliable analytical data, and promote data self-sufficiency across the organization.

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 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.

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.