Amgen
Associate-IncentiveCompensationInquiry&DataOperations
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“Associate - Incentive Compensation Inquiry & Data Operations at Amgen. Skills: Incentive Compensation Inquiry & Data Operations, data stewardship, ad-hoc analytics. managing inquiries. solving complex data challenges”
What You'll Achieve.
deliver ad-hoc analytics to support field and leadership decisions; ensure a positive stakeholder experience; provide actionable insights for business leaders; support end-to-end operations with accuracy, consistency, and strategic insight
Industry & Context.
solving complex data challenges; Investigate and resolve inquiries; Identify, research, and resolve data discrepancies; Excellent analytical and problem-solving skills with a track record of investigating data discrepancies and identifying root causes
What They're Looking For.
Must Have
Master’s degree or Bachelor’s degree & 1 - 3 years of experience in Incentive Compensation
Nice to Have
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 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, 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, interpersonal and teamwork skills, with the ability to partner across functions
What You'll Do.
solving complex data challenges
maintaining data stewardship standards
delivering ad-hoc analytics
Act as the primary point of contact for inquiries related to incentive metrics
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
and resolve data discrepancies impacting IC calculations or field reporting
Maintain documentation of issue resolution and lessons learned for continuous improvement
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
and appropriate communications with stakeholders
and document data governance policies
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
Conduct analytical deep dives and ad-hoc reporting on performance
Create and automate dashboards or reports to provide actionable insights for business leaders
Translate complex data into clear narratives that support decision-making
How You'll Work.
Team & Collaboration
Partner with cross-functional teams to correct root causes and implement preventive solutions; Collaborate with internal teams to evaluate impact(s) of data changes; work with other teams to execute; Demonstrated ability to collaborate effectively with global teams; interpersonal and teamwork skills, with the ability to partner across functions
Communication Scope
clear, data-backed communication; Clear and professional verbal and written communication skills; ability to explain complex IC concepts to non-technical audiences
Full Job Description
## **Career Category** Sales & Marketing Operations ## ## **Job Description** Job Description **Associate, Incentive Compensation Inquiry & Data Operations** **What you will do** Let’s do this. Let’s 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 inge
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