Assistant Manager/Manager - Supply Chain Analytics - SQL/R/Python

As part of Supply Chain Analytics, your role will comprise of the following:

Decision Management:

- Create algorithms for demand forecasting, inventory replenishment and inventory management. Work closely with Inventory team to meet the Inventory Turns targets.

- Work closely with the Supply Chain team in areas including network/topology planning and design, capacity planning, inventory placement, customer experience and backlog management, continuously optimizing for customer experience and fulfillment efficiency.

- Manage operational issues with our fulfillment centers and retail teams, resolving operational queries in a prompt and efficient manner.

Define Data vision for the Operations and Supply chain organization:

- You will not just be exposed to Supply but will also think creatively with the CEO and other functional leaders to identify the Data gaps and proactively take ownership of the forward-looking Data road-map related to Supply and Operations

- You will be responsible for data democratization. Translate all requirements/ performance criteria to KPIs and make it available to all functional managers for faster day to day decision making

- You will also lead the transformation of supply related product ideas from their most formidable stages into actionable concepts, timelines, and projects while maintaining a serious consideration of the financial implications, and the overall objectives of the business

Team building: Work towards building the best in class operations and supply chain analytics team.

Experience & Qualifications:

- Bachelor / Master's degree in business and or engineering

- 2+ years of professional experience in planning, forecasting and/or Supply Chain

- 6+ years experience in building analytic solutions

- Hands-on with SQL and Python/ R

- 6-9 years of proven Analytic experience delivering highly successful and innovative Data products

- Experience in defining market and product requirements, working with engineering & analytic organizations to rapidly deliver high-impact capabilities to market

- Strong analytical and quantitative skills with the ability to use data and metrics to justify requirements