Manager, Commercial Analytics - Brand Marketing & Sales

Role Summary

The Manager, Commercial Analytics supports US brand leadership by developing advanced analytics solutions to improve the strategy and tactics of the marketing and sales organization. The role will consult with Sales, Marketing and Market Insights leaders to understand their business strategy and critical needs, and determine appropriate advanced analytic solutions aligned with operating procedures that enable better and more efficient customer focus and ROI on commercial strategies and tactics. Business knowledge, analytics expertise, and the ability to apply analytics to real-world data are required, with knowledge of data mining techniques and information systems. 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 that field analytics are used effectively to address knowledge gaps for the portfolio of brands and to ensure a more complete picture of marketing execution and customer engagement.
• Collaborate with Sales Planning team as needed 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: Bachelor degree in a quantitative sciences field (statistics, operations research, mathematics, engineering, econometrics, Management Science or other related area)
• Preferred: Advanced degree in a quantitative sciences field (statistics, operations research, mathematics, engineering, econometrics, Management Science or other related area)
• Required: Minimum 5 years related Analytical experiences within pharmaceutical/healthcare industry.
• Preferred: 7 years related Analytical experiences within pharmaceutical industry.

Skills

• Experience with SQL and in-database processing in a Teradata environment required. Proficiency in SAS or Python strongly preferred.
• Experience with MS Office applications (particularly Excel and PowerPoint)
• Proficient in BI platforms such as Tableau, Qlik, etc.
• Experience with IMS data such as Xponent, Xponent Plantrak and DDD.
• Proficient at Statistical Analysis

Education

• Bachelor degree in a quantitative sciences field (statistics, operations research, mathematics, engineering, econometrics, Management Science or other related area)
• Advanced degree in a quantitative sciences field (statistics, operations research, mathematics, engineering, econometrics, Management Science or other related area)