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Senior Innovation & Business Model Analytics Manager
- Plainsboro, New Jersey, United States
- Plainsboro, New Jersey, United States
À propos
Facility: Commercial Marketing
About the Department Our Marketing & Patient Solutions group creates and delivers human-centered experiences, where innovation meets customer-centricity, driving the ultimate experience for our patients.
Our focus extends beyond transactions to craft experiences as one fully integrated, aligned and connected organization that puts empathy at the center, powered by insight and foresight.
We develop an end-to-end approach to strategy, focusing on every touchpoint that impacts our customers.
We leverage data and insights to inform our decision-making processes, ensuring that our strategies are rooted in a deep understanding of customer needs and behaviors.
Our 'test and learn' mindset and approach enables us to iterate rapidly and refine our strategies based on real-world results.
We are building an intentional team culture that is made up of diverse skillsets, united by the shared belief that reinvention and learning is what fuels continuous growth.
Position Summary The Senior Manager, Innovation & Business Model Analytics, provides insights and analytics expertise, primarily through the analysis and modelling of complex data, to guide Novo Nordisk on innovation initiatives, new business model opportunities, portfolio, franchise, and brand strategy development and execution. The role supports business development and provides holistic, insight-driven consultation and evidence-based strategic and tactical guidance to key stakeholders in Marketing, Market Access, Finance, and the Executive Office, as well as partners across Enterprise Insights.
Relationships This position reports to a Director or Senior Director in Enterprise Insights and interacts closely with other analytical positions within Enterprise Insights, across the Novo Nordisk organization in the US and globally, and with functions such as Market Intelligence and Primary Market Research managers.
Essential Functions Strategic Insights & Business Analytics
Identify business challenges and opportunities through stakeholder collaboration, scoping and executing analyses to deliver strategic guidance and actionable recommendations.
Explore new business model opportunities for Novo Nordisk through comprehensive analyses.
Develop dashboards and tracking analyses to monitor key performance metrics.
Data Science & Exploration
Develop and implement machine learning models and statistical analyses using commercial datasets.
Design and apply descriptive, predictive, and prescriptive analytics methods to answer business questions.
Explore and develop innovative AI solutions to generate comprehensive insights.
Explore new datasets and innovative integrations with other datasets to generate value-added insights.
Cross-Functional Collaboration & Stakeholder Engagement
Partner with diverse cross-functional teams (e.g., Marketing, Market Access, IT) to align analytical efforts and foster strong stakeholder relationships.
Capability Building & Continuous Improvement
Provide guidance, quality oversight, and training to junior and extended offshore (GBS) team members.
Champion innovation and adoption of new analytical tools, staying current with industry trends and best practices.
Drive process improvements to streamline reporting, reduce manual efforts, and enhance analytical capabilities.
Physical Requirements Approximately 0-5% overnight travel.
Qualifications
Bachelor’s degree required. Focus in Data Science, Computer Science, Business, Math, Science, or Engineering preferred.
8 years of work experience preferred / 4 years of pharma or health care analytical work experience preferred.
Advanced degree, such as M.Sc., may be substituted for experience as appropriate.
Strong problem solving and analytical skills required.
Experience with analytics tools such as Tableau or PowerBI required.
Coding experience in e.g., Python, R, SQL, etc. preferred.
Required knowledge related to machine learning, including supervised, unsupervised, reinforced (deep) learning methods and ensemble learning methods. Specifically, algorithms such as k-NN, Linear and Generalized Linear Models, naïve Bayes, SVM, and Random Forest.
Preferred knowledge related to how pharmaceutical companies market and sell products, market forces that impact decisions made to improve commercial outcomes, and how machine learning models can improve such outcomes.
Experience setting up generative AI models preferred. Experience with agentic AI models is plus.
Strong Microsoft Office skills – including building PowerPoint presentations - required.
Experience working with IQVIA data preferred.
Creative problem solving; ability to organize/manipulate data and see big picture from scattered pieces of information.
Strong writing, presentation, and project management skills required.
Demonstrated ability to manage multiple projects with conflicting deadlines.
Positive and eagerness to learn, collaborate and partner with internal business colleagues.
Compensation and Benefits The base compensation range for this position is $120,300 to $222,600. 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. Novo Nordisk offers long-term incentive compensation and/or company vehicles depending on the position's level or other company factors. 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, flexible vacation policy, and parental leave policy.
Equal Employment Opportunity Novo Nordisk is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.
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Compétences linguistiques
- English
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