회사 개요 우리는 전 세계가 사랑하는 식품을 만들기 위해 존재합니다. 하지만 우리는 그 이상을 합니다. 우리 회사는 선한 영향력을 발휘하는 것을 최우선으로 하는 곳이며, 매일매일 배움을 확장하고 새로운 시각을 탐구하며 새로운 가능성을 재창조하는 공간입니다. 우리는 서로에게 도전하고 성장할 수 있는 대담한 사고를 가진 인재, 즉 최선을 다할 수 있는 인재를 찾습니다. 식품 분야의 확고한 리더가 되기 위해, 우리는 끊임없이 다음을 향해 도전하는 사람들과 함께합니다.
OVERVIEW
The purpose of the job is to support Demand planning function by providing Innovative solutions and help implementing it to optimize/Standardize processes which will bring improvement to overall forecasting approach resulting in better accuracy. Explore and take up opportunities which supports the demand planning efforts by creating and executing industry standard approaches.
KEY ACCOUNTABILITIES
- Thorough understanding different forecasting models (time series and causal modal), analyze forecasting outputs, and prepare final analysis of change reports for the stakeholders to understand the data analysis steps, enabling them to take important decisions based on various facts and insights
- Proficiency to Identify, analyze and interpret patterns and trends through descriptive analysis in complex data sets that could be helpful for diagnosis and prediction
- Analyzing the different performance metrics (e.g. Accuracy, Bias etc.) and identifying improvement opportunities through RCA to achieve business targets
- Use automated tools (like Tableau Dashboards, GCP etc.) to extract data from primary and secondary sources using SQL/PLSQL
- Constantly engage with stakeholders to ensure alignment in demand forecast
- Lead and Coordinate with technical/data science teams to identify process improvement opportunities, validate outputs, propose modification if required
MINIMUM QUALIFICATIONS
- Education: Minimum of a bachelor’s degree in Operational research, statistics, supply chain and any other relevant field
- Experience: 1-2 years of experience in data analysis
- Technical Skills: Working knowledge of data visualization software like Tableau/Power BI/Looker. Familiar with forecasting techniques like Time series models (Exponential smoothing/ARIMA) and other ML techniques. Basic knowledge of supply chain/CPG/Retail Proficiency in statistics and statistical tools like R/ Python/Excel/SQL to be used for data set analysis. Basic knowledge of cloud environment like GCP/AWS/AZURE
- Soft Skills: Strong analytical and problem-solving skills, with a systematic and logical approach, strong stakeholder management, communication and presentation skills, and sound business acumen.
PREFERRED QUALIFICATIONS
- Master’s degree is preferred, with a major in Applied Mathematics, Statistics, Industrial Engineering, or Supply Chain. Preferred Professional Certifications: Data Analytics, Supply Chain 101 etc.
자격 요건 지원자는 해당 직무가 위치한 국가의 최소 연령 요건을 충족해야 합니다.
General Mills는 전 세계가 사랑하는 식품을 만듭니다. 100여 개 시장에 걸쳐서 우리는 힘을 합쳐 새로운 제품을 개발하고, 혁신을 주도하며, 함께 성장해 나갑니다. 이곳에서 여러분은 선의를 추구하는 기업에서 의미 있는 일을 하며 식품 산업의 미래를 이끌어 나갈 수 있습니다.