Data Scientist I - Advanced Analytics

About The Department

The Finance & Operations department brings insights and intelligence to inform decision making & drives digitalization and business solutions to attain NNI goals. Finance & Operations works closely across the organization to guide enterprise-wide resource allocations, investment choices, drive core operations and develop insights to drive growth and operational excellence across the value chain while innovating for future capabilities. Our focus on innovation ensures we're constantly building future capabilities. We're responsible for regulating accounting, upholding workplace safety, managing our supply chain and sampling, supporting technological and data innovation, maintaining our facilities and assuring the integrity and completeness of all business transactions. At Novo Nordisk, you will have the opportunity to build a career in a global business environment. We encourage our employees to make the most of their talent, and we reward hard work and dedication with opportunities for continuous learning and personal development. Are you ready to maximize your potential with us?

The Position

As a member of the Enterprise Data & Advanced Analytics team, collaborates with team members and other F&O and IT departments to deliver advanced data and analytics solutions to NNI Commercial Stakeholders, to the benefit of patients, prescribers and other stakeholders. Works across the F&O organization, with stakeholders across the broader NNI organization and applicable consultants and partners, to implement advanced data and analytics solutions to critical business questions. Applies statistical and machine learning methods to deliver solutions leveraging internal and syndicated commercial datasets such as Xponent Plantrak, LAAD, Experian, Veeva, ICM and other. Collaborates with Novo Nordisk commercial functions to help measure and optimize promotional investments, inclusive of marketing mix, test & control, and promotional targeting related initiatives.

Relationships

Member of the Advanced Analytics team within Enterprise Data & Advanced Analytics department, reporting to a Director-level manager (depending on specific assignment). Internal relationships include directors and members of other F&O teams, Commercial Operations, IT, Marketing brand leads, extended brand teams and other Marketing stakeholders, omni-channel & Entrise Insights External relationships include secondary data vendors and consultants. Senior-level (VP and higher) exposure through presentations on stakeholder targeting, impact analysis and other related topics

Essential Functions

Collaborates with ED&AA team members, F&O colleagues, and/or LoB stakeholders to de-fine advanced analytics/ML opportunities, determine appropriate datasets and algorithms, identify patterns and formulate solutions, experiment and deliver analytics and models.

Communicates findings and recommendations to non-technical stakeholders via visualizations and reports with an ability to present their highly technical work in a simple and engaging manor.

Collaborate with internal and/or external resources (i.e., consultants and partner) to de-fine and deliver innovative data and analytics solutions and services in response to busi-ness requirements and priorities. Areas of focus will include, but not be limited to: promotional impact analytics (incl. test vs. control, A/B testing, test-and-learn methodologies), patient analytics, HCP Targeting, PLTV, HCP analytics, and related topics in support of our commercial and enabling functions

In collaboration with ED&AA colleagues, IT, and external resources, support the development of infrastructure to support promotional impact assessment. This includes development of more predictive/efficient modelling techniques, establishment of reusable da-ta pipelines, building out of reusable code repository, and establishment of dash-board/PPT-based reporting infrastructure

Provide support for marketing investment projects, inclusive of NN stakeholder engagement, collaboration with IT on data processing, project management support, data trend QC, development and delivery of presentations, etc

Explores and evaluates new data driven approaches to generating insights and solutions to address business issues

Works with other ED&AA team members, IT, and data engineers to acquire and trans-form datasets (e.g., NPP, LAAD) that deliver critical business insights. Defines and creates metrics that can be leveraged by ED&AA and Enterprize insights analysts to deliver in-sights to their stakeholders

Applies skill in data science and statistical analysis in support of organization-wide pro-jects and programs

Provides guidance and QC oversight to more offshore junior team members, and col-leagues in other ED&AA areas in use and delivery of analytics and analytical tools

Physical Requirements

Up to 10% overnight travel required.

Qualifications

Bachelor's degree in Math, Computer Science, Statistics, Data Analytics, o