(Senior) Business Intelligence Analyst - Product (m/f/d)

at  eGym GmbH

81677 München, Bayern, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate05 Jul, 2024Not Specified06 Apr, 20243 year(s) or aboveGood communication skillsNoNo
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Description:

YOUR DAILY WORKOUT

Join our Team as a Business Intelligence Analyst where your passion for data drives you to provide deep insights and technical solutions that propel our business forward. In this role, you will collaborate closely with various teams to shape, analyze, and support strategic decisions through data-driven insights. Join our team in Munich and become an integral part of shaping the future of EGYM.

  • 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
  • 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
  • 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
  • You work at the interface with Product Management, Engineering, UX Research and Design to define metrics and KPIs for evaluating & monitoring product performance
  • You minimize turnaround time for analytical questions from stakeholders by improving processes and tools
  • You support Product Management in building customer-facing analytics and business KPIs

Responsibilities:

  • 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
  • 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
  • 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
  • You work at the interface with Product Management, Engineering, UX Research and Design to define metrics and KPIs for evaluating & monitoring product performance
  • You minimize turnaround time for analytical questions from stakeholders by improving processes and tools
  • You support Product Management in building customer-facing analytics and business KPI


REQUIREMENT SUMMARY

Min:3.0Max:8.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Proficient

1

81677 München, Germany