Manager, Commercial Analytics - Brand Marketing & Sales
Teva PharmaceuticalsWant to see how your resume matches up to this job? A free trial of our JobsAI will help! With over 2,000 biopharma executives loving it, we think you will too! Try it now — JobsAI.
Role Summary
Manager, Commercial Analytics - Brand Marketing & Sales. This role is responsible for developing advanced analytics solutions to support the US brand leadership and their teams in improving the strategy and tactics of the marketing and sales organization. The Commercial Analytics Manager will consult with Sales, Marketing and Market Insights leaders to understand business strategy and critical needs and then determine appropriate analytic solutions to enable better customer focus and ROI on commercial strategies and tactics. Location: hybrid position based in Parsippany, NJ.
Responsibilities
- Provide commercial recommendations as a strategic partner with leaders in Marketing, Sales and Market Insights based on analytical insights.
- Partner with Analytics counterparts to ensure field analytics are used effectively to address knowledge gaps for the portfolio of brands and to ensure a complete picture of marketing execution and customer engagement.
- Collaborate with Sales Planning team to support sales force targeting, call planning and resource optimization, using internal or external resources.
- Identify third party data sources, where necessary, to improve the quality of analyses.
Qualifications
- Required Education: Bachelor degree in a quantitative sciences field (statistics, operations research, mathematics, engineering, econometrics, Management Science or related area).
- Preferred Education: Advanced degree in a quantitative sciences field (statistics, operations research, mathematics, engineering, econometrics, Management Science or related area).
- Required Experience: Minimum 5 years related analytical experience within the pharmaceutical/healthcare industry.
- Preferred Experience: 7 years related analytical experience within the pharmaceutical industry.
Skills
- Experience with SQL and in-database processing in a Teradata environment; proficiency in SAS or Python strongly preferred.
- Experience with MS Office applications (Excel, PowerPoint).
- Proficient in BI platforms such as Tableau, Qlik, etc.
- Experience with IMS data such as Xponent, Xponent Plantrak and DDD.
- Proficient in Statistical Analysis.
Education
- Bachelor degree in a quantitative sciences field (as listed under Required Education).
- Advanced degree (Preferred Education) in a quantitative sciences field.