End to end Sales Incentive Payout process for Schneider Electric sales businesses. It will involve working closely with Business Leaders, Sales, Finance & Rewards teams.
Key Responsibilities Include:
1. Sales Incentive Process Management:
• Identification of SIP eligible employees & ongoing management of this list for role movements, exits, new joiners etc.)
• Alignment of Country SIP framework with Global Rewards & Sales Ops guidelines (KPI & payout curve compliance)
• Employee-wise KPI and target consolidation & compliance check in accordance with the Country guidelines (every time KPI received basis role movements)
• End-to-end processing of employee-wise SIP (Biannual or Quarterly) includes SIP achievement and SIP Payout calculation.
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• SIP Data analytics & management reporting
• Driving digitization / continuous process improvement initiatives (like Incent deployment) as & when applicable.
2. Commercial Excellence Expertize:
• Support commercial teams to ensure flawless execution & optimize the operational plans leveraging data/insights.
• Be a trustful advisor for the sales leaders.
• Utilize multiple channels of data flow to push growth further.
• Interact and collaborate with the commercial organization on the deployment and adaption of new tools.
• Ensure compliance and adherence to the process through governance mechanism.
• Sales excellence benchmarking with other companies.
Knowledge and Skills Required.
• Knowledge on MS Excel advanced is a must.
• Knowledge on MS Power point is required.
• Effective stakeholder management & communication skills required.
• Strong analytical skills required.
• Knowledge on Xactly Incent will be an added advantage.
Desirable
• Knowledge on Excel macros coding and editing
• Sales process Knowhow
• SAP, Power BI, Tableau or any other BI tools.
Educational qualification and Experience:
• Bachelor's degree or Post graduation.
• Minimum of 12 to15 years of experience in data analytics and reporting
Qualifications
Educational qualification and Experience:
• Bachelor's degree or Post graduation.
• Minimum of 12 to15 years of experience in data analytics and reporting
Schedule: Full-time
Req: 0091CC