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Associate Director, Cross-portfolio Analytics – Vaccines

Sanofi
Full-time
Remote friendly (Morristown, NJ)
United States
$125,250 - $180,916.66 USD yearly
Marketing

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Role Summary

Associate Director, Cross-portfolio Analytics – Vaccines. Based in Morristown, NJ. Reports to the Director Customer and GTM Strategy Analytics Vaccines. Responsible for reporting and presenting Sanofi's portfolio performance and integrated insights to leadership as part of the Insights and Analytics team, focusing on launched assets and preparation for future launches.

Responsibilities

  • Act as a strategic partner to the brand team leadership in key activities, such as brand planning, performance reviews, new indication launches, and assessment of new initiatives
  • Partner with the brand team to develop and measure KPIs associated with brand strategy and tactics
  • Lead development and maintenance of KPI reports for the commercial team, covering Marketing, Sales, PSS, and Market Access functions
  • Synthesize brand performance metrics into a cohesive narrative, and deliver strategic insights to Commercial leadership
  • Support new launches through the leadership of behavioral segmentation and targeting
  • Perform ad-hoc national and sub-national analyses to proactively identify areas of opportunities and threats, leveraging marketing tactic utilization, sales execution, and customer adoption metrics
  • Partner with Analytics leads across Sanofi‚Äôs portfolio to collaborate on Franchise performance insights and deep dives
  • Partner with Advanced Analytics colleagues to support optimization of promotional spend (e.g., marketing mix analyses) and better understand/impact key business levers (e.g., application of AI / ML models to understand patient conversion, predict HCP product selection, etc.)
  • Liaison with external vendors in the production of sub-national Sales Force Effectiveness reports
  • Create dashboards to synthesize information and enable business decisions
  • Coordinate with data management to ensure insights are based on reliable, high-quality information
  • Coach junior team members for onboarding, upskilling and Sanofi-specific processes/data
  • Lead the Hub team day-to-day on projects in a matrix management structure

Qualifications

  • Bachelor‚Äôs degree with a minimum of 7 years of experience in pharmaceutical Brand / Advanced Analytics, Forecasting, and/or Sales Operations; equivalent combination of education (MS / MA / MBA / PhD) and/or consulting experience may be considered
  • Proven business acumen, with strong communication & presentation skills
  • Well-developed strategic thinking ability, with the capacity to synthesize disparate sources of data to provide a coherent narrative and actionable insights
  • Strong analytical skills, with the ability to design, develop, and execute analyses to answer complex business questions
  • Life sciences analytics experience, with understanding of best practices and ability to access and manipulate large data sets via cloud-based data warehouse/analytics platforms
  • Experience with programming languages (e.g., SQL, R, Python, etc.) and data science principles
  • Experience with key pharmaceutical data sources and analytics platforms, including IQVIA NPA & NSP; longitudinal HCP & patient-level claims; Capgemini / LiquidHub data; CRM systems (Veeva, Salesforce); data management & analysis platforms (Databricks, Snowflake); and BI tools (Power BI, Tableau, Qlik); MS Office (Excel, PowerPoint, Word)

Preferred Qualifications

  • Master's Degree or MBA preferred
  • Experience in relevant Therapeutic Area
  • Ability to thrive in a fast-paced environment, comfortable with ambiguity, and with a track record of delivering exceptional results
  • Excellent project management and prioritization skills, able to deftly balance multiple projects/priorities
  • Ability to work in a matrixed environment with many cross-functional partners to understand and influence key business decisions
  • Experience in applying AI / Machine Learning/data science methodologies to address complex quantitative questions and derive action
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