Top Data Analyst Jobs in Germany

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

The role involves advanced data analysis using SQL and Python/Java, collaborating with teams to improve data-driven insights, and mentoring peers.

The Senior Data Analyst (Finance) will manage financial data and reporting, support budget processes, and provide insights to aid decision-making.

Collect and analyze data, interpret results of digital campaigns, provide reports, and assist teams with data-related questions.

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.

Drive development and monitoring of the recommendation engine: translate product KPIs into measurable goals, analyze user behavior and recommendation performance, build scalable data models, create dashboards and tracking, collaborate with data scientists, engineers and product teams, and automate data processes to improve recommendation relevance and efficiency.

As a Senior Data Analyst, you'll tackle complex data issues, build reliable data pipelines, ensure data quality, analyze data, and present actionable insights to enhance business strategies. You'll also contribute to A/B testing and ensure compliance with data governance.

Drive product measurement and strategy through quantitative analysis, experiment design and evaluation, metric and dashboard development, stakeholder collaboration, and translating user behavior into actionable product insights to improve customer experience.

The Senior Data Analyst will analyze complex datasets, perform advanced statistical analyses, design dashboards, and communicate findings to inform business strategies.

The Senior Data Analyst will analyze data for Anti-Fraud systems, monitor fraud indicators, detect data patterns, and collaborate with technical teams to enhance business performance.