Siemens

Senior Data Analyst (f/m/d) – Data & Insights

Stellenbeschreibung:

Intro

In your new role as Senior Data Analyst for Marketing & Communications Insights, you create insights and visualize and provide data to drive strategic actions across the organization. You will define program requirements for data and visualize by creating and optimizing sophisticated dashboards, help drive KPI development, and support the organization to become data driven. You will also monitor and report on database quality metrics, present insights to Senior Management, and document data schemas. You are an expert in using data from the cloud/data lake and in combining and harmonizing multiple data sources to derive key insights that influence strategic decision-making.

What We Offer You

  • Attractive remuneration package
  • 30 leave days and a variety of flexible working models that allow time off for yourself and your family
  • Share matching programs to become a shareholder of Siemens AG
  • Continuous Learning: Benefit from specialized training and daily challenges to keep your expert knowledge up-to-date
  • Innovative Environment: Be part of a team that values innovation and continuous improvement

You'll make an impact by

  • Leading the central data program for our team by coordinating and aligning all data requests with stakeholders including Senior Management and engineering teams
  • Creating insights and visualizing data to drive strategic actions and business decisions
  • Analyzing account and contact data, campaign data, and linking it to sales performance and business impact
  • Defining program requirements for data and visualizing by creating and optimizing sophisticated dashboards for executive reporting
  • Supporting KPI development and helping the organization to become data-driven
  • Monitoring and reporting on database quality metrics
  • Presenting information and documenting data schemas to Senior Management and key stakeholders
  • Driving further evolution of our MarCom Data Domain within the Siemens Data Cloud

This Is How You'll Win Us Over

  • Education: Master’s degree in Data Science, Computer Science, Business Administration, or comparable discipline
  • Experience and Skills:
    • Several years of professional experience in data analysis and insights generation
    • Strong proficiency in PowerBI and Snowflake
    • Familiarity with MAP and SFA systems, as well as CDP/MDM solutions
    • Strong data evaluation skills with the ability to extract and interpret data from various sources and transform it into insights and recommendations
    • Experience applying AI/ML technologies in data processes and analytics
    • Experience running experiments and MVPs on AI/ML based data processing
    • Strong affinity to IT and data in general
  • Ways of Working: Experienced using agile project management methods such as Scrum within a professional tool environment (Jira, Confluence); ability to translate business requirements into technology & data needs and visualization; strong presentation skills with experience communicating insights to Senior Management; proven ability to coordinate and align stakeholder requirements across business units
  • Languages: Business fluent in English, additional languages welcome

Equal Opportunity Employer

At Siemens, we believe that feeling valued and included is the foundation for doing great work. That’s why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant. As an equal opportunity employer, we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities. In the case of equal qualifications, severely disabled applicants and applicants with equivalent status will be given preference.

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    18 Mai 2026
  • Standort:

    Erlangen

    Einsatzort:

    Erlangen or Munich, Germany
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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