Associate - Incentive Compensation Inquiry & Data Operations

Amgen Technology

Hyderabad

On-site

INR 600,000 - 900,000

Full time

7 days ago
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Job summary

Amgen Technology is seeking an Associate, Incentive Compensation Inquiry Data Operations. You will manage inquiries related to incentive metrics, payouts, and plan interpretation, and perform data analyses to support leadership decisions.

The role emphasizes data stewardship, resolving data discrepancies, and creating dashboards to drive actionable insights for global teams. Strong Excel/SQL skills and collaboration across functions are essential.

Qualifications

  • Master's degree or Bachelor's degree; 1–3 years in Incentive Compensation.
  • 1–3 years in IC, Commercial Ops, or Sales Analytics in biopharma or life sciences.
  • Expertise in incentive compensation: plan administration, data validation, payout calculation, inquiry management.
  • Experience with data sources: XPO, XPO PD, 867, 844, SP contract data, etc.
  • Proficiency with IC systems, Excel, SQL.
  • Experience with Power BI, Tableau, or Qlik for dashboards.
  • Strong data stewardship, governance, SOX compliance.
  • Excellent analytical and problem-solving with root-cause investigations.
  • Collaborate with global teams; clear communication.

Responsibilities

  • Act as the primary contact for inquiries related to incentive metrics, payouts, and plan interpretation.
  • Investigate and resolve inquiries promptly with data-backed communication.
  • Track and analyze inquiry trends to identify data/process improvements.
  • Maintain documentation of issue resolution and lessons learned for continuous improvement.
  • Identify, research, and resolve data discrepancies impacting IC calculations or reporting.
  • Partner with cross-functional teams to fix root causes and preventive solutions.
  • Design and document data governance policies, standards, and procedures.

Skills

Excel
SQL
Power BI
Tableau
Qlik
Data governance

Education

Masters or Bachelors degree

Tools

Power BI
Tableau
Qlik

Job description

Associate, Incentive Compensation Inquiry Data Operations
What you will do

Lets do this. Lets change the world. In this vital role the Senior Associate, Incentive Compensation Inquiry Data Operations will focus on managing inquiries, solving complex data challenges, maintaining data stewardship standards, and delivering ad-hoc analytics to support field and leadership decisions.

Responsibilities
Inquiry Management:
  • Act as the primary point of contact for inquiries related to incentive metrics, payouts, and plan interpretation.
  • Investigate and resolve inquiries promptly with clear, data-backed communication.
  • Track and analyze inquiry trends to identify process or data improvement opportunities.
  • Demonstrated ability to manage inquiries with professionalism, empathy, and data-driven precision to ensure a positive stakeholder experience.
Data Challenges and Resolution:
  • Identify, research, and resolve data discrepancies impacting IC calculations or field reporting.
  • Partner with cross-functional teams to correct root causes and implement preventive solutions.
  • Maintain documentation of issue resolution and lessons learned for continuous improvement.
Data Stewardship:
  • Collaborate with internal teams to evaluate impact(s) of data changes.
  • Design and document impact analyses and work with other teams to execute.
  • Define in coordination necessary data remediations, next steps, and appropriate communications with stakeholders.
  • Influence, design, and document data governance policies, standards, and procedures for IC data.
  • Continually improve and define data quality measures for IC use with internal data teams to understand and evaluate the impact of data change and customer master changes.
  • Validate data source requirements, highlight applicable risks and mitigations, and define review schedules.
  • Understand and interpret data ingestion quality checks which have IC impact.
Ad-hoc Analytics:
  • Conduct analytical deep dives and ad-hoc reporting on performance, attainment, and payout trends.
  • Create and automate dashboards or reports to provide actionable insights for business leaders.
  • Translate complex data into clear narratives that support decision-making.

This foundational IC knowledge enables the role to support end-to-end operations with accuracy, consistency, and strategic insight:

  • Possesses a comprehensive understanding of end-to-end Incentive Compensation operations, including plan design, goal setting, contest administration, payout calculation, and performance analytics.
What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The Incentive Compensation Inquiry Data Operations professional we seek has these qualifications.

Basic Qualifications
  • Masters degree or Bachelors degree 1 - 3 years of experience in Incentive Compensation.
Preferred Qualifications
  • 1 - 3 years of experience in Incentive Compensation, Commercial Operations, or Sales Analytics, ideally within the biopharmaceutical or life sciences industry.
  • Proven expertise in incentive compensation processes, including plan administration, data validation, payout calculation, and inquiry management.
  • Expertise in various data sources - XPO, XPO PD, 867, 844, SP contract data, XPO supplemental, Hub Data, etc.
  • Proficiency with IC systems and tools, along with strong working knowledge of Excel and SQL.
  • Experience with data visualization and reporting tools (e.g., Power BI, Tableau, or Qlik) to provide clear and actionable insights.
  • Strong understanding of data stewardship principles, including data accuracy, governance, and compliance (SOX or equivalent).
  • Excellent analytical and problem-solving skills with a track record of investigating data discrepancies and identifying root causes.
  • Demonstrated ability to collaborate effectively with global teams.
  • Clear and professional verbal and written communication skills, with the ability to explain complex IC concepts to non-technical audiences.
  • High attention to detail, accountability, and the ability to manage multiple priorities in a fast-paced, dynamic environment.
  • Strong interpersonal and teamwork skills, with the ability to partner across functions.
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