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Senior Forecast Manager(m/w/x)
End-to-end forecasting process for Europe's largest online pet platform. Statistical forecasting models and SQL querying experience required. 28 vacation days, 20% shop discount.
Requirements
- University degree in Science, Technology, Engineering, Mathematics, Statistics, Business Administration, or Supply Chain Management with quantitative analytics focus
- Proven experience with statistical forecasting models in fast-paced CPG/FMCG environment
- Ability to read and query data with SQL
- Advanced MS Excel and MS PowerPoint user
- Experience with MS Power BI and Tableau is a big plus
- Exceptional analytical and problem-solving skills
- Precision and pragmatism in method application
- Open-minded team player
- Ability to present complex ideas simply
- Entrepreneurial mindset
- Hands-on attitude
- Contribution of ideas
- 5+ years of relevant experience in forecasting role
- Experience in sales/demand/SKU/inbound/outbound forecasting, data analytics, or business intelligence
Tasks
- Monitor and analyze forecasting performance
- Initiate corrective actions with stakeholders
- Run the end-to-end forecasting process
- Translate business needs into technical requirements
- Develop and present forecasting KPI reports
- Uncover root causes for deviations
- Contribute forecasting insights to S&OP
- Drive data-driven decision-making
- Lead forecasting process standardization
- Simplify forecasting tools and data flows
- Foster innovation and continuous improvement
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- MS Excel
- MS PowerPoint
- MS Power BI
- Tableau
Benefits
Corporate Discounts
- 20% discount in zooplus shop
Learning & Development
- Internal and external training
Team Events
- Team events
More Vacation Days
- Days off on 24th and 31st of December
Healthcare & Fitness
- Wellhub membership
Modern Equipment
- Company mobile phone
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Senior Forecast Manager(m/w/x)
End-to-end forecasting process for Europe's largest online pet platform. Statistical forecasting models and SQL querying experience required. 28 vacation days, 20% shop discount.
Requirements
- University degree in Science, Technology, Engineering, Mathematics, Statistics, Business Administration, or Supply Chain Management with quantitative analytics focus
- Proven experience with statistical forecasting models in fast-paced CPG/FMCG environment
- Ability to read and query data with SQL
- Advanced MS Excel and MS PowerPoint user
- Experience with MS Power BI and Tableau is a big plus
- Exceptional analytical and problem-solving skills
- Precision and pragmatism in method application
- Open-minded team player
- Ability to present complex ideas simply
- Entrepreneurial mindset
- Hands-on attitude
- Contribution of ideas
- 5+ years of relevant experience in forecasting role
- Experience in sales/demand/SKU/inbound/outbound forecasting, data analytics, or business intelligence
Tasks
- Monitor and analyze forecasting performance
- Initiate corrective actions with stakeholders
- Run the end-to-end forecasting process
- Translate business needs into technical requirements
- Develop and present forecasting KPI reports
- Uncover root causes for deviations
- Contribute forecasting insights to S&OP
- Drive data-driven decision-making
- Lead forecasting process standardization
- Simplify forecasting tools and data flows
- Foster innovation and continuous improvement
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- MS Excel
- MS PowerPoint
- MS Power BI
- Tableau
Benefits
Corporate Discounts
- 20% discount in zooplus shop
Learning & Development
- Internal and external training
Team Events
- Team events
More Vacation Days
- Days off on 24th and 31st of December
Healthcare & Fitness
- Wellhub membership
Modern Equipment
- Company mobile phone
About the Company
zooplus SE
Industry
Retail
Description
The company is Europe’s leading online pet platform, delivering happiness to over 9 million pet parents each year.
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