Sr Analyst - Sales Analytics & Incentive Comp
Scorpion Therapeutics, Parsippany, New Jersey, United States
Role Summary
This position functions as a strategic partner from Sales Operations to the Biosimilar Account selling team, partnering with Sales Leadership and Sales Operations COEs to implement and manage sales planning strategies and measure sales force effectiveness. It also focuses on improving the efficiency, accuracy, and scalability of incentive compensation functions and provides training and support to internal teams on relevant tools and systems. Location: Parsippany, NJ (hybrid role, 3 days per week in office). Responsibilities
Conduct on-demand and/or pro-active analyses related to sales performance and promotional efforts in support of sales presentations, sales effectiveness, incentive compensation performance, and launch performance tracking. Research and respond to field data inquiries. Partner with Incentive Compensation team, Sales Leadership, and Executive Leadership to strategically align field execution & reporting with field incentive and sales contest plans. Partner with Sales Reporting COE partner and sales leadership to develop reporting requirements, communications and training standards; partner with Field Services and Field Technology COE partners to define, implement and communicate key initiatives. Qualifications
Required: Minimum 2 years of Pharmaceutical Sales Operations, Sales Planning, Sales Administration, Pharmaceutical Marketing, or similar experience in a Corporate or Line of Business function. Required: At least 2 years of hands-on experience performing analyses using Python & SQL. Preferred: Other coding languages such as SAS, R, VBA are a plus. Preferred: Knowledge of pharmaceutical sales practices and industry regulations. Education
Bachelor’s degree required in Business Administration/Analytics, Data Science, Data Engineering, Management Information Systems, Economics, Statistics, Finance or similar Skills
Strong proficiency in Microsoft Excel (advanced functions such as pivot tables, v-lookups, etc.). Hands-on experience with Python and SQL is a must. Strong attention to detail and ability to maintain data integrity in all processes. Ability to collaborate effectively across functions and achieve team goals. Ability to troubleshoot and resolve issues independently while maintaining high levels of accuracy. Analytical and quantitative skills with the ability to translate complex data analysis into actionable recommendations. Knowledge of pharmaceutical sales practices and industry regulations is a plus. Great organizational skills and flexibility to perform under multiple deadlines. Client focused, proactive and results oriented with ability to support clients across multiple locations. Prior experience supporting medical benefit brands or partnering with biosimilar account teams is a plus. Additional Requirements
Travel: Approximately 5% domestic travel throughout the US, which may include weekend and overnight trips. Physical demands: Sitting for extended periods of time at a work station or mobile equipment. Visual Acuity: Perform activities such as computer work, preparing and analyzing data, and extensive reading. Working Environment: May be required to wear personal protective equipment (PPE) on site visits (e.g., safety glasses, hearing protection, gloves).
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This position functions as a strategic partner from Sales Operations to the Biosimilar Account selling team, partnering with Sales Leadership and Sales Operations COEs to implement and manage sales planning strategies and measure sales force effectiveness. It also focuses on improving the efficiency, accuracy, and scalability of incentive compensation functions and provides training and support to internal teams on relevant tools and systems. Location: Parsippany, NJ (hybrid role, 3 days per week in office). Responsibilities
Conduct on-demand and/or pro-active analyses related to sales performance and promotional efforts in support of sales presentations, sales effectiveness, incentive compensation performance, and launch performance tracking. Research and respond to field data inquiries. Partner with Incentive Compensation team, Sales Leadership, and Executive Leadership to strategically align field execution & reporting with field incentive and sales contest plans. Partner with Sales Reporting COE partner and sales leadership to develop reporting requirements, communications and training standards; partner with Field Services and Field Technology COE partners to define, implement and communicate key initiatives. Qualifications
Required: Minimum 2 years of Pharmaceutical Sales Operations, Sales Planning, Sales Administration, Pharmaceutical Marketing, or similar experience in a Corporate or Line of Business function. Required: At least 2 years of hands-on experience performing analyses using Python & SQL. Preferred: Other coding languages such as SAS, R, VBA are a plus. Preferred: Knowledge of pharmaceutical sales practices and industry regulations. Education
Bachelor’s degree required in Business Administration/Analytics, Data Science, Data Engineering, Management Information Systems, Economics, Statistics, Finance or similar Skills
Strong proficiency in Microsoft Excel (advanced functions such as pivot tables, v-lookups, etc.). Hands-on experience with Python and SQL is a must. Strong attention to detail and ability to maintain data integrity in all processes. Ability to collaborate effectively across functions and achieve team goals. Ability to troubleshoot and resolve issues independently while maintaining high levels of accuracy. Analytical and quantitative skills with the ability to translate complex data analysis into actionable recommendations. Knowledge of pharmaceutical sales practices and industry regulations is a plus. Great organizational skills and flexibility to perform under multiple deadlines. Client focused, proactive and results oriented with ability to support clients across multiple locations. Prior experience supporting medical benefit brands or partnering with biosimilar account teams is a plus. Additional Requirements
Travel: Approximately 5% domestic travel throughout the US, which may include weekend and overnight trips. Physical demands: Sitting for extended periods of time at a work station or mobile equipment. Visual Acuity: Perform activities such as computer work, preparing and analyzing data, and extensive reading. Working Environment: May be required to wear personal protective equipment (PPE) on site visits (e.g., safety glasses, hearing protection, gloves).
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