Senior Manager Performance Analytics - Remote Opportunity

Do you want to join a team where the mission is meaningful, the challenges are complex, and you can directly see the results of your hard work? Lundbeck is a global biopharmaceutical company focusing exclusively on brain health. With more than 70 years of experience in neuroscience, we are committed to improving the lives of people with neurological and psychiatric diseases. Lundbeck employees are inspired and driven by our purpose to advance brain health and transform lives. Join us on our journey of growth!

Remote opportunity - Open to candidates anywhere in the greater United States

The Sr Manager of Performance Analytics will have primary responsibility for personal and non-personal promotion performance analytics using both secondary analytics and machine-learning techniques for assigned customer groups such as marketing and sales, including analyzing, identifying and summarizing data insights of syndicated, secondary market data and omnichannel customer activity data for targeting, segmentation and performance measurement as well as market understanding purposes across omni-channels and sales force tactics.

Essential Functions:

• Develop, lead and conduct predictive analysis and deep-dive analysis on omni-channel promotional impact, sales force effectiveness, targeting and customer segmentation to answer key business questions.

• Synthesize data insights and statistical results into actionable insights and visualize the findings to enable compelling storytelling on brand performance and marketing resource optimization opportunity

• Communicate the insights to cross functional partners

• Define, track and monitor the key performance indicators for various marketing promotional channels including sales force driven metrics to better reach and serve the physicians and patients

• Leverage rigorous statistical and machine-learning algorithms to evaluate and predict various marketing promotions and sales force analytics efficiently and accurately

• Provide data and analytics inputs including modeling data preparation, exploratory data analysis and meta data analysis to internal analytics leads and business partners to enable timely delivering of insights for QBR and tactical planning sessions  

• Coordinate and manage daily activities of vendor support or technical staff effectively by interpreting customer/business needs and translating to technical requirements for the team. Provides direct guidance when technical issues arise

• Partner seamlessly with other members of the Advanced Analytics and Omnichannel Customer Engagement team and identify collaboration opportunity and increase operation efficiency.

• Work with cross functional partners on targeting, segmentation, sales force alignment and call planning as needed

Required Education, Experience, and Skills:

• Accredited Bachelor's degree 

• 6+years of data science experience for marketing, sales and/or commercial initiatives.

• Demonstrated competencies across descriptive, diagnostic and predictive analytics.

• Proven expertise in statistical modeling and data analysis techniques including cluster analysis, multivariate regression/tree-based analysis, unsupervised/supervised ML, Bayesian/Monte Carlo/Bootstrapping etc 

• High proficiency in programming languages such as SAS, R, Python, or SQL.

• Demonstrated ability and expertise in manipulating, analyzing complex data and visualizing data via standard tools, automated process and charting methods

• Strong communication and presentation skills with the ability to translate complex analysis into actionable insights

• Demonstrated excellent analytical skills and business acumen

• Demonstrated strong process planning and organizational skills

• Self-learner, strong critical thinker and problem-solving capability.

• High proficiency in MS Office (Excel/Access/PowerPoint).

• Ability to work independently and complete deadline without direct authority and navigate in ambiguous environment and agility to adapt changing priorities of the organization.

• Ability to travel to the Deerfield office monthly or bi-monthly

Preferred Education, Experience, and Skills:

• Accredited Bachelor's degree in quantitative field or Master’s Degree in Quantitative field 

• Previous experience in Pharmaceutical/Biotech industries

• Demonstrated expertise in prescription commercial data processes and reporting analytics

• Experience with media agencies, data partners and analytics consultants to onboard data &