Top Data Analyst Jobs in Berlin

The Data Analyst optimizes commercial strategies using data insights, builds predictive models, and influences decisions by presenting findings to stakeholders.

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

The Senior Marketing Data Analyst will guide marketing decisions through data analysis, create measurement frameworks, and drive marketing effectiveness initiatives, collaborating with various teams and enhancing data literacy.

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

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 Senior Marketing Data Analyst will lead analytics for Performance Marketing and CRM, focusing on measurement, reporting, experimentation, and strategic decision-making to enhance marketing efficiency.

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 support the Finance team by building and maintaining data models, developing dashboards, and translating data into business insights to influence decision-making.

The Staff Data Analyst will provide insights to optimize pricing strategies for vendors, support strategic projects, collaborate with teams, and drive data-driven decision-making to enhance operations efficiency.

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.

As a Data Analyst at Thrill Labs, you will analyze datasets to provide insights, develop dashboards, and collaborate with teams to drive product and operational strategies.

The Big Data Analyst will design and maintain DBT models, write SQL, collaborate on data pipelines, build dashboards, and provide business insights to stakeholders.

As a Data Analyst, you will analyze data, define KPIs, collaborate with stakeholders, create advanced analysis and dashboards, and support business decisions.

The Research Data Analyst will produce data-driven insights, prepare and clean data, develop visualizations, and engage with stakeholders on research policy evaluation and strategy.

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.

The Senior Data Analyst will drive analytics strategy, partner with leadership, design dashboards, and enhance AI analytics, focusing on B2B SaaS metrics.

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 Senior Data Analyst will lead community intelligence efforts, performing analytics on event data, improving data integrity and insights for community growth.

The Senior Data Analyst will collaborate with data scientists and product teams to analyze user behavior, develop tracking systems, and provide insights to improve recommendation systems and team efficiency.

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

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 Senior Data Analyst will lead analytics efforts, design and maintain dbt models, and optimize supply chain and customer care processes through data insights and partnership.