Senior Analytics Engineer (w/m/d)

Stellenbeschreibung

• Business Partnership: Collaborate with business stakeholders, product, data warehousing, and engineering teams to define complex, ambiguous problems and solve them with data-driven solutions.

• End-to-End Data Ownership: Design, develop, and optimize scalable data solutions, metrics, curated data marts, and reporting assets using SQL, Python, dbt, PowerBI and Databricks.

• Power BI Platform Ownership: Take full ownership of our Power BI platform, including governance, workspace management, best practices, and end-user enablement.

• Data Transformation & Modeling: Provide clean, transformed data using modern ELT/ETL pipelines, with strong experience in DAX, star/snowflake schemas, and data modeling best practices.

• Strategic Enablement: Deliver actionable business insights via advanced Power BI dashboards and ad hoc analyses, communicating complex findings clearly to both technical and non-technical audiences.

• Process Improvement: Relentlessly challenge the status quo, driving improvements in efficiency, quality, speed, and cost savings across analytics workflows.

• Team Development: Mentor and coach junior analysts and engineers, fostering a high-performing, innovative data culture.

• Enablement & Training: Train and empower business users to self-serve analytics solutions and adopt data-driven practices.

Qualifikationen

• 5+ years of experience in analytics engineering, data engineering, or BI roles, with advanced proficiency in SQL, Python, and DAX.

• Proven experience designing and implementing scalable analytics solutions in Databricks, dbt, and Power BI in production environments.

• Deep understanding of modern data warehousing concepts, including star/snowflake schema design, medallion schema, data modeling, and curated data marts.

• Experience developing and maintaining advanced Power BI dashboards, with strong expertise in DAX.

• Strong communication and organizational skills; able to translate business needs into technical solutions and clearly communicate findings.

• Demonstrated ability to mentor others, provide constructive feedback, and contribute to a collaborative team culture.

• Highly curious, results-oriented, and proactive, with a passion for continuous learning and process improvement.

Zusätzliche Informationen

• You are part of a highly profitable, growing tech company
• Flat hierarchies
• Dynamic working and flexible working hours.
• Creative working environment
• Free drinks and snacks in the office