HP - Statistical Forecaster - Print Category Operations Vertical

- This is an opportunity to join Statistical Forecasting group of Print Category Operations within HPI and provide statistical baseline forecast for all Print Businesses. The group is responsible to generate unbiased statistical long-term and short-term baseline forecast. Help in timely support and submission of forecast and be part of overall accuracy improvement initiatives.

- Provide ad-hoc analytics and operational expertise to drive fact-based strategic and tactical planning, manage and execute forecast improvement initiatives. The responsibilities also include price elasticity analysis, promo planning, Gap management, NPI Rollover, Cannibalization studies. Key metrics include Forecast Accuracy and bias, days of inventory (DOI), and availability.

Work Location: Electronic City office in Bangalore

1. Generate statistical baseline forecast for Print HW & Supplies business units in SAP IBP.

2. Improve and maintain Forecast Accuracy.

3. Forecasting Support :

a. SAP IBP & Country Split & Option Split

b. Monthly Checks: Backlog, Shipment against operational forecast

4. Publish Forecast accuracy measurement (product mix) and Reports.

5. Initiate, plan, execute, communicate and close accuracy improvement projects within requested timeframe (business requirements)

6. Manage product rollovers and end-of-life to appropriately balance availability and inventory risks.

7. Work with Planning SME within PPS and Global Analytics for any business / process performance improvement initiatives

1. Skills and Profile requirements:

a. Academic Credentials: Bachelor's or Master's degree

b. Experience Profile :

i. Essential: 1-5 Years work experience in unit forecasting for Hi Tech or related industry with significant experience in multitasking/ cross functional collaboration. Basic appreciation and knowledge of statistical concepts and application of statistics in forecasting is essential

ii. Desired:

1. Work experience in SAP IBP Demand Planning or any proprietary demand planning/forecasting tools

2. Experience of working with organization of similar size (Revenue/ Geographic breadth) and / or Product portfolio

3. Experience of working with geographically dispersed teams and achieving deliverables through Collaborative means.