Channel Team Lead

Channel Team Lead - AMZL

-Job Description · Account Identification & Acquisition: Market mapping and Identification of potential retail stores for time bound Acquisition, induction and onboarding of new accounts (I.H.S stores) in the assigned territory.
· Account Management: Managing and driving the growth of the Channel partners/stores’ business with Amazon. Build and execute on a strategic account plan that delivers on key business opportunities for the stores and Amazon.
· Field Visits: Visiting targeted number of stores on a daily/weekly/monthly basis.
· Training: Deliver training & coaching of Amazon processes, products, operating model and SOPs.
· Work on the ground to enable network with new product launches and partner with the operations and other teams.
· Reporting: Maintaining & publishing routine reporting on the stores current performance & business with Amazon. Publish recommendations and action plans based on data. Reporting the overall Network Health in the assigned territory.
· Team Management: Building and managing a multi-layer team and manage performance through on-the job coaching and mentoring. Driving team of associates for managing their targets.
· Set proper expectations, provide clear status communications, and manage relationships with the acquired/assigned stores for a mutual growth.
· Work with Stores/channel partners to improve operational aspects of their business in providing a great delivery experience and consistently enhance efficiency.
· Enhance Engagement with accounts to improve business and increase retention.
· Drive stores against goals (Volume, FTR and other key metrics).
· Handling day to day operational escalations and be available to round the clock to manage the issues.
· Internal/External Stake holder management.
· Support station operations and/or customer deliveries.

Basic Qualifications

- 1+ years of sales experience
- Bachelor's degree

Preferred Qualifications

- Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field

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Experience Level

Senior Level