Senior Analytics Engineer (w / m / d)

finanzen.net GmbH; Deutschland; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A growing tech company in Germany is seeking an experienced Analytics Engineer. You will design and optimize scalable data solutions and lead the Power BI platform. The ideal candidate has 5+ years in analytics engineering, advanced SQL and Python skills, and a passion for mentoring. This role offers a dynamic work environment with flexible hours and great benefits.

Leistungen

Dynamic working hours

Creative working environment

Free drinks and snacks

Qualifikationen

• 5 years of experience in analytics engineering or similar.
• Proficient in SQL, Python, and DAX.
• Strong communication skills and team mentoring ability.

Aufgaben

• Collaborate with stakeholders to solve data problems.
• Design and optimize data solutions and reporting.
• Take ownership of Power BI governance and training.

Kenntnisse

SQL

Python

DAX

Analytics Engineering

Data Engineering

Business Intelligence

Tools

Databricks

Power BI

dbt

Jobbeschreibung

Overview

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.

Qualifications

• 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.

Additional Information

• 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

Remote Work

Yes

Employment Type

Full-time

Key Skills

• Laboratory Experience
• Vendor Management
• Design Controls
• C / C++
• FDA Regulations
• Intellectual Property Law
• ISO 13485
• Research Experience
• SolidWorks
• Research & Development
• Internet Of Things
• Product Development