Commercial Analytics Manager

AmgenThousand Oaks, CA
$149,843 - $162,305Hybrid

About The Position

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Requirements

  • Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Management Information Systems, Data Analytics or related field and 4 years of experience in the job offered or in a project lead – related occupation.
  • 4 years in Data Analytics utilizing SQL and Python
  • 4 years in Data Visualization including Tableau or Power BI
  • 4 years in identifying multiple secondary data sources including IQVIA, CMS, Lab Data to address various key business questions to enable brand performance.
  • 4 years in understanding the strengths and limitations of different analytical approaches and their findings and customize and implement how to use the various data sources for each use case
  • 4 years in Project Management for managing relationships with external vendors to prioritize business needs and enable execution of analytics
  • 4 years in providing leadership and brand teams with an objective and rigorous perspective on secondary data analytics and performance management
  • 4 years in consolidating multiple insights to create an impactful story to drive strategic business decisions
  • 4 years in leveraging data to identify and recommend areas of opportunity to enhance business performance.

Responsibilities

  • Design approach and perform secondary data analytics to support strategic decision making.
  • Lead analytical execution by implementing solutions, ensuring progress per timelines and scope, and coordinating readout of results.
  • Work cross functionally to synthesize findings, develop recommendations and articulate actionable insights to stakeholders.
  • Provide senior leadership and brand teams with an objective and rigorous perspective on secondary data analytics and performance management.
  • Develop and deliver analysis using complex data sources including hcp and account level demand data, claims data, electronic medical records data, specialty pharmacy data to generate a holistic, objective and detailed understanding of the brand.
  • Manage relationships with external vendors to prioritize business needs and enable effective execution of analytics.
  • Enhance the capabilities of the commercial data and analytics team by researching and implementing new analytical tools, methodologies, internal and external best practices and new data sources.

Benefits

  • stock
  • retirement
  • medical
  • life and disability insurance
  • eligibility for an annual bonus or for sales roles, other incentive compensation
  • health and welfare plans for staff and eligible dependents
  • financial plans with opportunities to save towards retirement or other goals
  • work/life balance
  • career development opportunities
  • Retirement and Savings Plan with generous company contributions
  • group medical, dental and vision coverage
  • flexible spending accounts
  • discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models, including remote and hybrid work arrangements, where possible
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