Top Data Analyst Jobs in Munich

As a Data Analyst, you will analyze on- and off-chain data to track KPIs, identify trends, conduct market research, and work with teams to deliver recommendations focusing on DeFi applications. You'll also assist in designing foundational data systems and driving data-driven decision-making.

As a Growth Data Analyst at Vivid, the role involves evaluating acquisition channels, collaborating on scaling high-performing channels, researching marketing trends, developing dashboards and reports, and generating innovative acquisition ideas to support the growth strategy.

As a Product Data Analyst, you will perform analyses on client reporting tools, create and maintain internal dashboards, ensure data quality, and collaborate with various teams to enhance client reporting capabilities. You will also mentor team members in analytics best practices.

As a (Senior) Product Data Analyst, you will perform analyses for B2B client reporting, generate and maintain internal reports for customer success, ensure data quality, collaborate with various teams, and mentor team members in analytics best practices.

As a Product Data Analyst, you will analyze client usage of reporting tools, generate internal reports for the success team, ensure data quality, manage documentation, and mentor team members. Your role will involve collaborating with various teams to provide insights and improve client reporting experiences.

As a Data Analyst at Edge & Node, you'll translate business requests into actionable insights, manage data transformations, build dashboards, and collaborate with cross-functional teams to improve analytics workflows and deliver accurate data.

The Product Data Analyst will analyze client usage of reporting tools, maintain internal dashboards, ensure data quality, update documentation, and collaborate with the customer success team to drive insights. The role requires mentoring and promoting analytics best practices within the organization.

As a Senior Data Analyst at Komoot, you will analyze user data to drive product decisions, design metrics for success, create visualizations, build dashboards, conduct experiments, and collaborate with cross-functional teams to improve user experience in outdoor exploration.