Data and Analytics Manager
About the role
The position is responsible for gross-to-net data and analytics for the US business, ensuring external and internal customer alignment as necessary. The position is responsible for:
- Developing post alternative model implementation analytics, e.g. ROI to support future contract strategy and support on informing GTN strategy.
- Lead data and analytics efforts for Gross-to-Net (GTN) processes to ensure accurate, timely forecasting, modeling, and reporting of alternative modelling, customer rebates, discounts, chargebacks, and other net revenue deductions.
- Partner with GTN Finance, IT/ Data Engineering, PCOR, among others to design and maintain data pipelines, analytical models, and reporting that enable reliable GTN calculations and insightful business decisions.
Relationships
Reports to the Director, GTN Forecasting. Position regularly interacts with members in PCOR, GTN Finance, IT/ Data engineering, Finance Strategy and Digitalization, among others.
Essential Functions
- Alternative Models
- Perform ROI assessments to support future contract and partner strategy
- Support the development of P&L transparency around alternative model channels and programs
- Optimize integration of alternative model data into GTN model framework
- Design, build, and maintain end-to-end data pipelines and ETL processes for alternative model forecasting and ensure completeness and accuracy of the data
- Support performance reporting on alternative models to provide business insights and inform GTN forecasting assumptions
- Collaboration
- Accountable to maintain a strong working relationship with key stakeholders to ensure solid and aligned data and analytics
- Guides GTN forecasters on data and alternative model analytics as well as supports the team with data and models
- Facilitates collaboration among necessary stakeholders when developing GTN analytics
- Controls, Compliance and Finance
- Support GTN team with rebate controls to meet all audit and internal control (Sarbox) requirements
Qualifications
- Bachelor’s degree in Finance, Accounting, Computer Science, Data Science, Engineering, Statistics, Economics, or related field; relevant experience may be substituted for degree, when appropriate; advanced degree preferred or MBA
- 4+ years of experience in finance analytics, data engineering, revenue operations, GTN, rebate/chargeback analytics, pharmaceutical/healthcare revenue analytics, or closely related domain
- Strong analytical, quantitative, and qualitative analysis skills required
- Proven experience building and validating financial models and forecasts
- Prior experience in Managed Market contracting or Gross to Net forecasting a plus
- High attention to detail, strong problem-solving skills, and ability to manage competing priorities in a deadline-driven environment
- Develops and maintains strong internal relationships
- Excellent Excel other PC skills required
Pay
The base compensation range for this position is $99,600 to $184,200. Base compensation is determined based on a number of factors. This position is also eligible for a company bonus based on individual and company performance.
Benefits
Employees are also eligible to participate in Company employee benefit programs including medical, dental and vision coverage; life insurance; disability insurance; 401(k) savings plan; flexible spending accounts; employee assistance program; tuition reimbursement program; and voluntary benefits such as group legal, critical illness, identity theft protection, pet insurance and auto/home insurance. The Company also offers time off pursuant to its sick time policy, flex-able vacation policy, and parental leave policy.
Equal Opportunity Employer
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.
Contact
If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at 1-855-411-5290. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.