Strategic Analytics Lead, US Commercial Ops

CSL

King of Prussia (PA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

CSL Behring seeks a senior analytics professional to partner with Commercial Operations, Marketing and Patient Services. You will design and lead analytics initiatives using secondary and primary data to optimize patient journeys and CSL services.

You will develop metrics and tools to connect strategic intent with execution, applying SAS, R, SQL and Tableau, with cloud/AWS and AIML capabilities. Strong business acumen and leadership are essential for success.

Qualifications

  • Bachelor degree with quantitative focus required (maths, engineering, stats, economics). MBA preferred.
  • 7+ years’ in pharmaceutical commercial analysis using secondary data (Claims, EMR, Sales).
  • 5+ years’ experience with SAS, R, SQL, Tableau and relational databases.

Responsibilities

  • Plan and execute commercial data modeling and scenario analysis using secondary and primary research.
  • Deliver insights that characterize opportunities and risks for management recommendations.
  • Conduct broad quantitative analyses to inform brand forecasts and market dynamics.
  • Present insights to senior leadership in an easily interpreted format to aid decisions.
  • Collaborate with vendors for secondary data research and with internal teams to align strategies.
  • Leverage data from multiple sources to optimize patient journeys and CSL services.

Skills

Data analytics
Strategic partnership
Business acumen
Leadership
Entrepreneurial mindset

Education

Bachelor's degree in quantitative field
MBA

Tools

SAS
R
SQL
Tableau
AWS
AIML
Predictive modeling

Job description

CSL Behring seeks a senior analytics professional to partner with Commercial Operations, Marketing and Patient Services. You will design and lead analytics initiatives using secondary and primary data to optimize patient journeys and CSL services.

You will develop metrics and tools to connect strategic intent with execution, applying SAS, R, SQL and Tableau, with cloud/AWS and AIML capabilities. Strong business acumen and leadership are essential for success.

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