Data Strategist in Munich

vor 1 Tag

Munich, Bayern, Deutschland Crewmeister Vollzeit
Job Description

We are seeking a highly skilled Data Strategist in Munich to join our team at Crewmeister.

Munich-based Crewmeister is the leading solution for time tracking and shift planning for small businesses. Our software helps over 14,000 customers overcome the chaos of timesheets.

In this role, you'll play a pivotal part in shaping data-driven strategies that impact the entire company. You'll lead the design and optimization of our data warehouse, making critical insights accessible to our teams while building predictive models to drive proactive decisions.

Responsibilities
  • Design and Optimize Data Warehouse: Extend and maintain a professional, comprehensive and accurate data warehouse that centralises and structures our data.
  • Manage Data Pipelines: Manage all data pipelines into the warehouse, from various internal and external systems. Develop and maintain the permissions in the data warehouse.
  • Provide KPIs: Provide and promote usage of KPIs across the organisation and deliver clear, simple KPI values with consistent visualisations to show actual performance, target achievements, and trends at all levels.
  • Data-Driven Dashboards: Provide specialised, data driven dashboards for the business departments to conduct in-depth analyses on relevant business metrics and dimensions.
  • Predictive Models: Develop and maintain predictive models to forecast trends, customer behaviour, and potential risks, enabling proactive decision-making and strategic planning.
  • Team Leadership: Lead interns and working students.
Requirements
  • Strong Understanding: Strong commitment to understanding the company's operations, goals, and performance drivers within all departments.
  • Data Expertise: Expertise in designing, building, and optimizing data warehouses; experience with data modeling, schema design, and data pipeline development. Specific experience with Google BigQuery is a plus.
  • Integration Experience: Experience with integrating data from a variety of sources, including APIs, web services, and third-party applications.
  • Programming Skills: Strong proficiency in Python and SQL for data manipulation, ETL development, and automation.
  • Visualization Tools: Familiarity with visualization and BI tools to support the design of dashboards and clear, actionable data presentations. Specific experience with Google LookerStudio is a plus.
  • Predictive Modeling: Experience with predictive modeling, time series analysis, and customer behavior analysis to anticipate trends and enable proactive decisions.
  • Tools Familiarity: Familiarity with tools like TensorFlow, PyTorch, or scikit-learn (not required, but a plus).
  • Problem-Solving: Proactive and creative approach to diagnosing and solving data challenges.
  • Communication: Ability to interpret complex data and communicate actionable insights.
  • Experience: 5+ years of experience in data engineering (preferably in SaaS).
  • Degree: Bachelor's Degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Languages: Fluent English language skills.
What We Offer
  • Autonomy and Responsibility: Job with freedom and significant responsibility to make a difference with our talented international team.
  • Flexibility: Home Office Flexibility: Maximize your performance by working from wherever you are most productive.
  • Vibrant Environment: Work and make an impact from our vibrant office in the Werksviertel Start-Up hub, where you can enjoy freshly brewed coffee from our in-house barista.
  • Crew Benefits: Bond with your Crew through exciting team events such as soccer championships, yoga sessions, company-wide runs, and more.
  • Relocation Support: Enjoy benefits like: lunch vouchers, JobRad, gym discounts, complimentary tickets, MacBook, discounted rail pass. Relocation support/help with visa if required.

At Crewmeister, it's more than just a job; it's about you and your potential to make a meaningful impact. Show us your true self through your resume and later during our personal interview.

We look forward to possibly welcoming you to our crew very soon.

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