(Senior) Analytics Engineer - Product (m/f/d)

Your daily workout

• Data Engineering: You demonstrate hands-on experience with data engineering practices, including data modeling, data warehousing, and managing ETL processes to ensure a high quality BI pipeline
• Tracking & Infrastructure: You collaborate closely with Engineering teams to design and implement an effective data tracking infrastructure, identifying key data points, ensuring scalable and reliable data collection methods, and optimizing data flow for analytical needs
• Dashboards: You show proficiency in working with large, complex datasets to not only prepare analyses but also create reports and dashboards facilitating product managers to make data driven decisions
• Product Metrics & KPIs: You collaborate cross-functionally with Product Management, Engineering, UX Research, and Design to define, monitor, and evolve metrics and KPIs that measure and optimize product performance
• Responsiveness: You minimize turnaround time for analytical questions from stakeholders by improving processes and tools
• Analytics Enablement: You support Product Management in building customer-facing analytics and business KPIs

Your fitness level

• Experience: You have at least 2 years of hands-on experience in business intelligence, specifically in analyzing and reporting on product data

• Technical skills: You are experienced in ETL tooling, Data Warehouse models, data visualization, and SQL. Knowledge of scripting languages (Python, R) is a plus

• Data Stack: You have experience with modern cloud-based BI tech stacks, preferably Snowflake, dbt, hex, Mixpanel, Tableau.

• Communication: You have excellent communication in English skills and the ability to explain complex, abstract concepts in simple, concrete terms 

• Collaboration: You have a proven track record of collaborating with cross-functional teams and understanding their data needs and processes

• Product lifecycle: You have a good understanding of the overall product development process

Your training goal for your first 6 months

• Business & Data Familiarization: You build a deep understanding of EGYM’s business, BI infrastructure, and product data landscape, enabling you to navigate and leverage our data ecosystem with confidence

• Data Infrastructure & Analytics Enablement: You actively support and contribute to the implementation of new tracking and analytics solutions that integrate seamlessly into our existing data infrastructure

• Data Quality & Consistency: You drive improvements in data quality, consistency, and reliability across products and data sources, ensuring trustworthy insights for decision-making

• Cross-functional Collaboration & Impact: You establish strong, trusted relationships across teams and act as a key partner in delivering data solutions that create measurable business impact

The equipment we provide

• Modern Culture: Be part of a modern and international company culture where talent and passion are welcomed, heard, and part of the decision-making process
• Continuous Development: Develop your skills with varied, challenging tasks and regular feedback to benefit from a steep learning curve
• Work-Life-Balance: Benefit from flexible working hours, hybrid working policy (2 office days), and 30 days of vacation per year
• Fit & Healthy: Train for free with EGYM Wellpass in several thousand sports and health facilities across Germany and/or use our in-house gym with EGYM products
• Flex Budget: Use €60 per month flexibly for public transportation and a meal subsidy
• Mentoring Program: Exchange knowledge and grow together across teams and locations through our self-organized mentoring platform
• Discounts: Get a variety of great discounted offers, from fashion to leisure, through our employee benefits portal
• Bike Leasing: Stay active and use our leasing bike offer on your way to work or in your spare time
• Subsidized Pension: Profit from our employer-subsidized pension

Contact Information

Apply now with your documents in english (CV, salary expectations and earliest possible start date) and specify the job ID #1899. 

Contact: Marco Ohde