Senior Analyst, Sales Compensation Design for MedTech Surgery at Johnson & Johnson. Focusing on executing sales compensation plan design and quota allocation processes.
Responsibilities
Build and validate forecast modeling and advanced statistical analyses across complex data sets to shape compensation design and quota allocations decisions by executive leaders
Leverage AI, automated learning, and machine learning technologies to illustrate trends in performance and compensation forecasting
Develop quota setting methods to maximize sales force engagement using predictive analytics, forecast modeling, and advanced statistical analysis
Create and validate strategies designed to drive sales behavior key to achieve strategic business objectives and financial commitments
Collaborate with other Compensation and Execution stakeholders on deliverables.
Partner closely with Director Compensation – MedTech Surgery, Compensation Analysts, and Data Integrity Analysts at all levels across multiple internal teams on compensation plan design, quota and quota adjustments, predictive analytics, comp and product plan parameters, systems programming and performance metrics
Align compensation plans and payout mechanisms with J&J compensation philosophy
Monitor and measure compensation plan effectiveness through statistical analysis leveraging data sources and systems
Utilize advanced systems knowledge to plan, design, and configure data systems integral in the build and successful delivery of Sales Compensation Plans and Quota.
Partner with IT and Systems Teams to measure impact and develop resolution roadmaps for systems configuration and/or issues
Deliver payout and performance metrics to key stakeholders
Partner closely with J&J systems teams, IT, and external business partners to drive efficiencies across a matrix of computing and data systems
Maintain policies and procedures in partnership with Commercial stakeholders.
Support cross-functional and cross-sector projects beyond MedTech Surgery as needed.
Additional Potential Role Responsibilities will be assigned as determined by leadership and driven by plan evolution/tied to business strategy.
Requirements
A minimum of a bachelor’s degree is required
3-5 years of Data Analytics, Commercial Operations, or Finance experience strongly preferred
Medical Device or Pharmaceutical experience is preferred
Statistical analysis, data analytics, and systems programming/coding skills preferred.
AI (artificial intelligence), automated learning and machine learning experience preferred.
Experience with sales compensation programs for team-based sales forces is preferred.
Experience interacting with or directly supporting a Field Sales organization is preferred.
Budget management experience is preferred.
Demonstrated leadership, strategic thinking, collaboration, strong communication, and influencing skills are required.
Proven ability to work in a matrix organization is preferred.
Proficiency in advanced Excel, Access, and PowerPoint is preferred, along with analytical software such as Power BI, Tableau, R, Python
Benefits
medical, dental, vision, life insurance
short- and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
long-term incentive program
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours
Job title
Senior Analyst, Sales Compensation Design – Surgery
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