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Data Scientist (m/w/d 80-100%

Implenia Schweiz AG

Winterthur · flexible Full-time Mid Level 1w ago

About the role

About

What you'll do

  • You work along the entire end-to-end process in reporting – from data extraction through transformation and modeling to visualization and provision for the business. Additionally, you lay the foundation for further data science applications.
  • You work on the definition of meaningful KPIs for steering performance along the entire end-to-end process in tenant management – from initial contact to termination – and you ensure data quality.
  • You analyze central KPIs such as contact volume, shrinkage, throughput times, efficiency, and other factors along the entire customer journey.
  • You extract, process, and refine data (Microsoft Fabric, Python, PySpark, SQL, Azure).
  • You design and create semantic models for Power BI Reports (Microsoft Fabric).
  • You create, maintain, and develop reports and dashboards in Power BI and further develop them via Service Now Platform Analytics, ensuring they generate added value for the business.
  • You create the necessary foundations and develop forecast models and further data science applications based on machine learning (Python, Microsoft Fabric).
  • You conceptualize and implement simulation models with scenario analyses (what-if analysis) that enable data-based decision-making processes in tenant management (Python).
  • You use the validation framework in Microsoft Fabric and adapt it to specific use cases.
  • You support the collection of requirements, change requests, and project proposals on data topics and software (Requirements Engineering).
  • You work closely with Data Engineering, IT, operational units, and platform managers to holistically understand end-to-end processes and optimize them based on data.
  • You participate in the implementation of technical requirements and further developments, e.g., reports, automations, and interfaces.
  • You work closely with colleagues from specialist departments and external suppliers in (partial) projects.
  • You take on additional tasks in Data Science & Advanced Analytics for data-based optimization of tenant management.

What we're looking for

  • You have a commercial apprenticeship and higher business administration education (university, university of applied sciences, higher vocational school) or in business informatics, statistics, or data science.
  • You have several years of professional experience in data analysis, ideally with insight into service-oriented work environments; knowledge of customer management is an advantage.
  • You skillfully apply digital affinity and sound PC and software knowledge in your daily work with various systems.
  • An efficient and goal-oriented way of working and good communication skills with negotiation skills qualify you to deal with diverse and demanding target groups.
  • A high degree of service and customer orientation are a matter of course for you.
  • Good manners, high resilience, as well as flexibility and perseverance complete your profile.

Benefits

  • Working Hours: We live mobile working with individual (annual) working hours and/or part-time work. Up to 40% Home-Office is possible. Work-Life-Balance is important to us, because balanced and rested employees are important to us. The purchase of additional vacation days is possible.
  • Mobility and Meals: You will receive a contribution for the mobile phone. We also make a contribution towards your meals.
  • Training and Further Education: Promoting employees is an important part of our culture. Benefit from generous support for internal and external training and further education. We offer career opportunities in leadership, specialist, and project roles.
  • Salary: You can expect market-rate remuneration with absolute equal pay for all genders. Pension fund benefits are attractive, and you can choose the model that suits you best from various options. Accident insurance covers the private hospital ward.

Skills

AzureMicrosoft FabricPower BIPySparkPythonSQLService Now

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