Serve as Analytics lead within Amgen’s Decision Sciences (CD&A) to engage with and influence senior stakeholders
Translate analytical outputs into meaningful recommendations for business partners
Focus on marketing investment optimization: understand customer needs, market trends, and competitive landscape to make data-driven investment decisions
Collaborate with cross-functional teams (Sales, Marketing, Value & Access, Media, Forecasting, Finance) to optimize marketing spend and drive ROI
Develop predictive and prescriptive models, prototypes and proofs of concept using Python or R
Oversee building of high-performance algorithms and predictive models
Identify business needs, propose and execute analytical approaches
Communicate analysis, progress and results to leadership and business partners
Measure spend efficiency and recommend optimization of future spend across brands, tactics, channels, and audience types
Collaborate with Marketing, Media, Finance and other CD&A teams to create marketing budgets and monitor spending
Analyze the financial impact of marketing initiatives and drive business impact through advanced analytical techniques
Requirements
Doctorate degree and 3 years of data science and/or analytics experience OR Master’s degree and 5 years of data science and/or analytics experience OR Bachelor’s degree and 7 years of data science and/or analytics experience OR Associate’s degree and 12 years of data science and/or analytics experience OR High school diploma / GED and 14 years of data science and/or analytics experience
Excellent organization/planning skills and talent for simultaneously managing multiple large and complex projects
Ability to collaborate and influence collaborators, business partners and IS resources to drive analytic projects end-to-end
A proven track record of interpreting and communicating analytical insights to non-technical & technical partners and stakeholders using clear and concise language
Technical proficiency with strong logical, problem solving, and decision-making skills
Passion for learning and staying on top of current developments in advanced analytics
Marketing Mix and/or Multi Touch Attribution experience
Expertise in using analytic tools such as Excel, R, SQL, Python, Tableau
Experience with the application of statistical estimation techniques and/or optimization techniques
Expertise in pharmaceutical data sets, such as prescriber-plan data, patient-level data, transactional claims, EMR/EHR data, SPP Hub data, media data, etc.
Experience working with large datasets, experience working with distributed computing tools (Databricks, PySpark)
Willingness/ability to work on-site a minimum of 2-3 days a week (Flexible Commuter role to Thousand Oaks, CA or Deerfield, IL office)
Benefits
A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
Group medical, dental and vision coverage
Life and disability insurance
Flexible spending accounts
A 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
Health and welfare plans for staff and eligible dependents
Financial plans with opportunities to save towards retirement or other goals
Work/life balance and career development opportunities
ATS Keywords
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