Senior Analytics Engineer (w/m/d) - 100% remote work within EU accepted at finanzen.net GmbH

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.  

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.