Top Data Analyst Jobs in Berlin

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

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.

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.

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 Data Analyst at Gamesight will leverage data to optimize creator partnerships and inform marketing strategies for game launches while collaborating with various teams to enhance campaign effectiveness.

As a Data Analyst at Zenjob, you'll enhance marketplace performance by defining metrics, building data models, creating dashboards, and conducting experiments.

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.

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

Lead CRM analytics and reporting across 45+ markets. Build and maintain Power BI dashboards, deliver actionable campaign and customer insights, develop automated reporting and deep-dive analyses, monitor CRM KPIs, evaluate A/B tests, and partner cross-functionally to improve segmentation, personalization, and data quality.

The Senior Data Engineer will design and build data pipelines, structure data, implement event tracking, and ensure data quality for a no-code platform.

The Business & Data Analyst will analyze B2B2C product performance, identify trends from large datasets, support pricing analyses, and communicate insights to stakeholders.

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.

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.

As a Product Data Analyst, you'll collaborate with product squads, analyze data for feature improvements, and communicate findings to stakeholders to enhance product experience.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

Serve as the bridge between business units and engineering to discover, translate, and prioritize Data & AI requirements. Run workshops, maintain backlog, prototype with AI and low-code tools, coordinate delivery with PMO and engineers, support rollout and adoption, and ensure responsible AI use and stakeholder alignment.

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.

The Senior Product Analyst will collaborate across teams to analyze data, design A/B tests, create data models, and ensure data quality to inform strategic decision-making.

Collect and organise event, marketing, and survey data from multiple platforms; create simple reports and dashboards; analyse patterns and provide actionable recommendations to improve workshops, events, and volunteer programmes; and help build a lightweight, maintainable reporting and analysis workflow.