Logo Stadtwerke München GmbH

Specialist Customer Data Platform & Data Analysis

New

Job

  • Level
    Experienced
  • Job Field
    Data
  • Employment Type
    Part Time/Full Time
  • Contract Type
    Permanent employment
  • Location
    Munich
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will build a Customer Data Platform, integrate heterogeneous data sources, and develop analytical models for customer segmentation and personalization. You'll design A/B tests and monitor KPIs for measurable success.

    Job Technologies

    Your role in the team

    • Development and expansion of a Customer Data Platform (CDP) as an analytical foundation for 360° customer profiles, segmentation, and personalization.
    • Integration and harmonization of heterogeneous data sources (e.g., CRM, billing, interaction data) to create consistent datasets for advanced analytics and forecasting models (e.g., churn prediction).
    • Development, operationalization, and continuous optimization of data-driven models and customer segments to derive targeted sales and marketing measures.
    • Design and analysis of A/B tests, control groups, and uplift analyses for measurable success monitoring and data-driven decision making.
    • Definition and monitoring of relevant KPIs as well as deriving actionable insights for the continuous improvement of models, campaigns, and customer journeys in close coordination with business units and IT.
    • Conducting and taking over ad hoc analyses as well as developing standardized reports for data-driven management of energy sales and customer service.

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    Our expectations of you

    Education

    • Completed degree, e.g., in Energy Economics, Business Administration, Business Informatics, or comparable knowledge from a degree program, along with several years of professional experience in the relevant field.

    Qualifications

    • Strong analytical understanding of customer data, customer journeys, and data-driven personalization with a clear business focus on energy sales.
    • Independent work with SQL and Python for analyzing, validating, and evaluating integrated customer and campaign data, as well as supporting daily business operations.
    • Expertise in the technical integration, unification, and harmonization of heterogeneous source and target systems (e.g., CRM, billing, interaction, marketing automation).
    • Solid knowledge in measuring the success of data-driven initiatives, including KPIs, control groups, A/B tests, and uplift analyses.

    Experience

    • Experience with Customer Data Platforms or comparable customer-centric data architectures (business control, use case driven).

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    What we offer

    • The remuneration is based on the salary model of SWM Kundenservice GmbH outside of a collective agreement.
    • 39-hour workweek with flexible working hours and a time account.
    • 30 vacation days annually, as well as additional days off on December 24th and 31st.
    • A variety of opportunities to balance work and private life (flexible working hours, part-time models, childcare support, and much more).
    • Diverse training and development opportunities to promote outstanding performance.
    • Long-term projects with high job security.

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    Benefits

    Health, Fitness & Fun

    Work-Life-Integration

    Food & Drink

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    Topics that you deal with on the job

    Job Locations

    • Location Munich

      Bayern

      Germany

    This is your employer

    Stadtwerke München GmbH

    Stadtwerke München GmbH

    Stadtwerke München GmbH, or SWM, is a communal German company that provides public services for Munich and the surrounding region. The city of Munich owns the company. Services offered include utilities, transportation, and waste management.

    Description

  • Company Size
    250+ Employees
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Power Sector, Economy
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    • Career Growth

      3.7
    • Engineering

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    Logo Stadtwerke München GmbH

    Specialist Customer Data Platform & Data Analysis

    Location
    Munich
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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