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Data Analyst f/m

Data Analyst (f/m/x)

Permanent Employment, Full-time
Main location: Germany Office Munich

Your mission

Our Business Planning team is integral to driving informed decision-making and optimizing business outcomes. We focus on analyzing complex data sets to provide actionable insights and support strategic initiatives across IONITY. By leveraging advanced analytics, visualization tools, and cutting-edge methodologies, we deliver impactful recommendations that shape our planning, commercial strategies, and performance tracking. Join our team as a Data Analyst (f/m/x) and play a crucial role in developing key performance indicators, creating dashboards, and providing data-driven solutions that propel our business forward. If you are passionate about analytics and want to be part of an innovative team shaping the future of electric mobility, we look forward to your application.
Your responsibilities:

  • Create and implement processes to extract, cleanse, and consolidate data from diverse sources ensuring it is ready for analysis.
  • Analyze large and complex data sets to extract valuable insights that inform key business decisions and enhance overall strategy.
  • Present business recommendations derived from your analysis and effectively communicate findings in a clear and accessible way to relevant stakeholders.
  • Identify upcoming analytical needs and translate them into actionable tracking requirements to support and optimize the company’s planning processes and commercial strategies.
  • Deliver data-driven dashboards while developing key performance indicators (KPIs) to monitor and improve business performance.
  • Uncover critical insights and effectively communicate them to stakeholders.
  • Apply advanced analytic methodologies, utilize visualization tools, support the creation of analysis, KPIs and dashboards or write customized reports.

Your profile

  • Bachelor’s degree in Data Science, Mathematics, Computer Science, Engineering, or a related field.
  • At least 2 years of experience in data analysis.
  • Strong expertise in databases (SQL, NoSQL) and data lake architecture.
  • Experienced in Python, including hands-on experience with libraries such as pandas and numpy.
  • Knowledge in cloud platforms, ideally AWS, and data visualization tools like Tableau or Power BI.
  • Capable of converting complex business challenges into specific requirements, meaningful metrics, and actionable insights that lead to clear recommendations.
  • Self-motivated and able to work independently
  • Exceptional analytical skills and a strong data-driven mindset.
  • Passionate about data and analytics.
  • Fluency in English, both written and verbal.
  • Valid German Work Permit is required.

Why us?

We are a team of uncomplicated, cosmopolitan and fairly smart people who see change as an opportunity and enjoy helping to shape a future market with great pressure and enthusiasm. If you are fascinated by electric mobility, and you want to be part of an international team, please apply - we are happy to receive your application!

What we offer

  • Trust-based working time: You organize and determine your working hours by yourself.
  • Flexible and remote working: Compatibility of family/hobby and job.
  • Generous vacation policy: You also have additional days for special occasions.
  • Annual individual training budget: You decide together with your supervisor how you. would like to continue your training.
  • Dog-friendly office: Your dog is very welcome.
  • Employee discounts: Member of Corporate Benefits.
  • Freedom for creativity: Flat hierarchies, your opinion counts.
  • You culture: We promote an open corporate culture.
  • Multicultural environment/diversity: 28 nationalities are already employed with us.
  • Employee events: Summer parties, Christmas parties, etc.

Dies ist eine auf dritten Jobbörsen gefundene Stellenanzeige. Wir bieten hierfür keinen Support, können diese aber jederzeit offline stellen. Für weitere Informationen: Datenschutzhinweise | Anzeige melden.

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Data Analyst f/m

IONITY
München
Vollzeit, Unbefristet

Veröffentlicht am 24.11.2024

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