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Senior Forecast Manager (All Genders)

zooplus SE

München

Hybrid

EUR 50.000 - 70.000

Vollzeit

Vor 9 Tagen

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Zusammenfassung

A leading pet supply company located in Munich is seeking a forecasting specialist with a university degree in quantitative analytics. This role involves developing efficient forecasting processes, monitoring performance, and collaborating with product teams. Exceptional analytical skills and proficiency in Excel are essential. Enjoy a hybrid work setup, generous benefits like 28 vacation days, and a 20% discount in company products.

Leistungen

20% discount in our zooplus shop
Internal and external training
Team events
28 vacation days
Corporate mobile phone

Qualifikationen

  • Proven experience in statistical forecasting models and process improvement.
  • Strong understanding of technical aspects of forecasting.
  • Exceptional analytical skills to optimize processes.

Aufgaben

  • Develop concepts for a reliable and effective forecasting environment.
  • Oversee the end-to-end forecasting process.
  • Monitor and analyze forecasting performance.

Kenntnisse

Program Management
Data Management
Project Management
Statistical Forecasting
Budgeting

Ausbildung

University degree with a focus on planning and quantitative analytics

Tools

MS Excel
Power BI
SQL
Tableau
Jobbeschreibung
Responsibilities
  • Develop concepts for a reliable efficient and effective forecasting environment with flexible processes clear responsibilities and always your customers in focus.
  • Oversee the end-to-end forecasting process and translate business needs into concrete parameters and requirements for technical implementation into our forecasting applications developed and owned by the Product and Tech team.
  • Continuously monitor and analyze forecasting performance and initiate corrective actions if needed in close collaboration with key stakeholders especially Demand & Inventory Managers and the Product and Tech teams.
  • Develop maintain and present regular and ad-hoc reports on forecasting performance KPI and pro-actively uncover root causes for critical deviations.
  • Support our Sales and Operations Planning and Execution process by providing forecast data to drive data-driven timely and risk-aware decision-making.
  • Identify opportunities for process improvements and implement best practices in forecasting.
Qualifications
  • University degree with a focus on planning and quantitative analytics
  • Proven experience in statistical forecasting models and process improvement in a fast-paced environment
  • Strong understanding of technical aspects of forecasting and ability to communicate with Product / Tech teams
  • Advanced MS Excel and PowerPoint skills; experience with SQL Power BI or Tableau is a plus
  • Exceptional analytical and problem-solving skills to optimize processes and drive informed decision-making
  • Effective communication skills with ability to present complex ideas in a simple but meaningful way
  • Ability to be precise and pragmatic flexibly applying methods as required in different situations
Additional Information

With more than 1000 passionate professionals located across 6 European offices we believe our success comes from working together and leveraging our international strengths. Expect a hybrid work setup : 60% in-office 40% remote collaborating with colleagues across locations.

Benefits
  • 20% discount in our zooplus shop
  • Internal and external training
  • Team events
  • #LI-Hybrid
  • 28 vacation days and days off on 24th and 31st of December
  • Corporate rates at a local gym chain (Body & Soul)
  • Company mobile phone for work and personal use

zooplus is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.

Remote Work: No

Employment Type: Full-time

Key Skills
  • Program Management
  • FDA Regulations
  • Management Experience
  • Facilities Management
  • Clinical Development
  • Data Management
  • Quality Systems
  • Project Management
  • Research & Development
  • GLP
  • Budgeting
  • Leadership Experience

Experience: years

Vacancy: 1

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