Sales compensation helpdesk

Cognizant

Bengaluru

Presencial

INR 600.000 - 800.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Cognizant is seeking a Sales Compensation Analyst (SPE) in Bangalore, India. The role involves managing commissions systems, reporting, audits, and handling inquiries from the field via email, chat, and calls. The position is based in the office with a rotational night shift and travel arrangements in place.

You will triage issues, conduct audits, participate in UAT, and support tools like Salesforce and Callidus. A BA/BS in a related field and up to 2 years of experience are preferred.

Formación

  • BA/BS or equivalent in business/finance/economics/statistics or data field.
  • Up to 2 years in sales compensation administration with hands-on tool experience.
  • Experience creating SQL scripts to extract data.

Responsabilidades

  • Triage, investigate, resolve issues and close tickets submitted through Helpdesk with cross-functional teams.
  • Audit Participant data in Callidus to match Workday.
  • Participate in UAT to align systems with Sales Credit rules.
  • Audit attainment and payout to ensure accurate commissions per rules.
  • Provide technical support for internal tools (Salesforce, PLX) and ad-hoc analytics.
  • Calculate quarterly attainment and submit to payroll.

Conocimientos

SQL scripting
Analytical skills
Attention to detail
Communication
Multi-tasking
Self-direction

Educación

BA/BS or equivalent degree in Business, Finance, Economics, Statistics or data related field

Herramientas

Anaplan
Callidus/SAP
OIC
Xactly
Salesforce

Descripción del empleo

Dear Candidate,


Greetings from Cognizant!


Currently we are looking for candidates with exp in helpdesk.


Sales compensation or Incentive compensation or Commission Analyst and SQL.


Designation: Sales Compensation Analyst (SPE)


Location: Bangalore, India


Work Mode: Work from Office for 5 days


Shift: Rotational(75% of Night shift)(Travel arrangements will be there)


As a Global Sales Compensation Analyst, you will be responsible for supporting the needs of a Global Business Organization through management of commissions system and reporting. You will play an integral role in maintaining calculation rules in the commissions system; supporting system changes during new fiscal year setup and throughout the year; reviewing commission calculations and payments on a monthly basis; answering field/Sales Rep queries for any Sales Compensation related questions via email, chat & calls; providing reconciliations as needed and assisting in UATs when required.

Responsibilities
  • Triage, investigate, resolve issues and close tickets submitted through Helpdesk working with cross-functional teams, including Sales, Finance, and BI teams to ensure timely and accurate reporting of attainment.
  • Perform participant audit in Callidus to ensure Participant Data matches Workday accurately.
  • Participate in UAT during the year to ensure systems are configured based on Sales Credit rules.
  • Perform Attainment/Achievement and Payout audits to ensure Sales Participant is receiving sales attainment as intended based on Sales Crediting Rules, Comp System configuration on bonus calculation is accurate and policies are being applied as per General Terms and Conditions.
  • Technical support for internal workflow applications and sales tools (e.g., Salesforce, PLX, etc.) and ad-hoc analytics requests.
  • Troubleshoot, escape and respond to support requests within
  • Calculate the attainment at the end of every quarter and submit it to payroll.
  • BA/BS or equivalent degree in Business, Finance, Economics, Statistics or data related field.
  • Upto 2 years experience in Sales compensation administration, particularly with hands-on experience on comp tools (Anaplan, Callidus/SAP, OIC, Xactly, Salesforce).
  • Experience with CRM tools and case management.
  • Knowledge of Google Workspace, preferred Google sheets.
  • Strong attention to detail.
  • Ability to effectively communicate and influence at sales executive level.
  • Strong analytical and modeling skills; experience in working with large datasets.
  • Ability to self-direct work in a dynamic, fast paced environment.
  • Ability to work in a deadline driven environment, work cross functionally with various teams and multi-task.
  • Ability to work independently and be resourceful in ambiguous situations
  • Experience creating SQL scripts to extract quantitative data.
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