About the Opportunity
The Supply Forecasting Specialist will work across the Berry Patch to support the UK Supply Forecasting & Planning team with an important role on collecting, reporting and analysing data from the growers forecasts and field visits, to do this well, the Supply Forecasting Specialist will stay in close contact with growers and internal stakeholders on a short and mid-term scope (0-52 weeks). With this data, the department can provide the most accurate information for the best business decisions to support our strategy according to Driscoll’s Mission and Vision, using Driscoll’s values.
This role is within an office (30%) and field visits (70%) environment with occasional travel to other production regions across EMEA.
Responsibilities
- Focus on field forecasting by making weekly field visits to collect production data from the crops and project accurate volumes for the business.
- Support on weekly analysis of the crop development and weather impact will be used to accurately predict the production volume of each crop per grower, farm, variety, and treatment in the region.
- Update of the reference database of the productive area of the current season, pre-season projections and platform tools used for the short-term forecast and for the strategic process.
- Monitor forecast accuracy and ensure continuous improvement in the forecast process and numbers.
- Support the short-term and mid-term supply forecasting & planning process with data needed.
- Close connection with the Growers, Operations, Supply Chain team and other relevant stakeholders.
- Close connection with the Manager, team members and other regions.
- Develop analytical skills to support the growth of the region and department strategy.
Candidate Profile
Requirements
Academic Degree:
- Bachelor’s degree required in Agriculture with knowledge of Data Analytics and Statistics.
Professional experience:
- Working experience (0-2 years) in Horticulture crops and data analysis.
Areas of experience:
- Crop science
Certifications and Technical skills:
Add level of expertise Basic/Intermediate/Advanced/Expert
- Knowledge of Microsoft programs (Excel, Word and Powerpoint - Advanced
- Knowledge of statistics data analysis -Intermediate
- Driver license
Preferred Qualifications
- Experience working in cross-functional teams, combining agronomy, meteorology and data science.
- Flexibility to work in diverse environments (office and field).
- Excellent interpersonal skills, including diplomacy and collaboration, and the ability to maintain strong working relationships as both an individual contributor and team member.
