Sr Forecast Analyst
Sr Forecast Analyst
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Salary Not Disclosed
1 Vacancy
Job Description
This position is responsible for maintaining the monthly demand planning process (primarily via generating statistical forecasts and KPI tracking along with input via crossdepartment collaboration). This individual will monitor and update incoming datasets used for statistical forecasts and update the design/use of input data as the commercial requirements evolve. This person also contributes to the crossfunctional inventory planning and customer demand review processes.
Compensation Range $85450 $104700
Principle Responsibilities
Demand Forecasting:
- Validate and organize demand data from multiple sources and load it into the forecasting system.
- Cleanse input data as needed to maximize forecast accuracy and minimize bias.
- Design/Redesign forecasting processes to adjust for frequent customerdriven changes in demand structure.
- Maintaining forecasting structural data to ensure proper categorization.
- Develop and maintain accurate demand forecasts using statistical machine learning and driverbased modeling.
- Quantitatively enrich the modeling through various potential impacts (i.e. macroeconomic indicators market share dynamics pricing elasticity and promotional impacts) to predict future demand.
- Demonstrate the ability to quantify relationships between business drivers and demand outcomes.
- Proficiency in statistical modeling and its application to forecasting.
- Demonstrated experience in data science and analytics including knowledge of advanced analytics ML models and predictive and prescriptive analytics.
Data Analysis:
- Analyze sales data inventory levels and market conditions to identify trends and patterns.
- Develop means to detect exceptions in large datasets and design rational responses.
- Monitor forecast accuracy and make recommendations for improvements.
- Generate and present reports on demand planning metrics to senior management.
- Conduct scenario planning to optimize service levels and inventories
- Maintain forecast vs. actual history data by customer product family channel geography and SKU.
Collaboration:
- Lead the program(s) monthly collaborative demand review as part of the S&OP process.
- Work with sales marketing and product management to understand product life cycles demand patterns and short medium and longterm forecasts.
- Communicate forecast changes and inventory needs to relevant departments to ensure alignment
Process Improvement:
- Implement best practices in demand planning and share insights with the team.
- Contribute to continuous improvement efforts to advance the demand planning and forecasting process capabilities.
- Update/Create standard work process documents as the procedure evolves.
Qualifications :
Competencies
- Handson experience with timeseries ML models
- Able to develop and design a statistical forecasting process and standards for high skucount seasonal products.
- Maintain forecast vs. actual history data by customer product family channel geography and SKU.
- Develop design apply and validate safety stock strategies. Understand the impact of safety stock on customer fill rates and the organizations inventory position.
- 3 years experience directly utilizing enterprise planning software (e.g. SAP JDA IBP Oracle etc. to create statistical forecasts for high SKUcount customers 2000 to 10000 SKUs).
- Lead multiple medium and large projects
- Experience using and interacting with MRP systems.
- Experience comparing implementing and validating forecasting methodologies techniques and approaches
- Detailoriented and ability to organize work activities in highly ambiguous situations.
- Advanced Excel Skills applied to large multivariable datasets to extract/compile/analyze/interpret results. Advanced Access skills are a plus.
- Calculate and track forecast MAPE and bias to measure performance.
- Strong problemidentification and analytical skills.
- Experience with process management skills.
- Actionoriented.
Education/Experience
- Undergraduate degree in Mathematics Supply Chain Engineering or Data Science degree preferred commensurate with experience.
- Relevant industry experience in the automotive or aftermarket parts business.
- 4 6 years of statistical forecast generation from large datasets plus supply chain planning experience in S&OP demand and supply planning.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
