Amgen

Associate Director, Marketing Investment Optimization

Amgen

full-time

Posted on:

Location Type: Hybrid

Location: Thousand Oaks • California, Illinois • 🇺🇸 United States

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Salary

💰 $182,167 - $219,985 per year

Job Level

Senior

Tech Stack

PySparkPythonSQLTableau

About the role

  • 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

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data scienceanalyticspredictive modelsprescriptive modelsstatistical estimation techniquesoptimization techniquesmarketing mixmulti touch attributionlarge datasetsdistributed computing
Soft skills
organization skillsplanning skillscollaborationinfluencecommunicationproblem solvingdecision makingproject managementanalytical insightspassion for learning
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