Sr Associate - Marketing Mix/Investment Analytics

If you feel like you’re part of something bigger, it’s because you are.

At Amgen, our shared mission—to serve patients—drives all that we do.

Senior Associates in Investment Analytics serve as the execution and quality control backbone of the IA function—ensuring that analytical outputs are accurate, well‑validated, and ready for decision‑making, while also supporting capability development of junior team members.

As a Senior Associate – Investment Analytics, you will be a hands‑on analytical contributor focused on quality assurance, model execution support, and translation of business context into modelling inputs.

You will work closely with Investment Analytics Managers (L5), supporting MMx and incrementality workstreams and ensuring analyses meet MIO quality standards.

You will: 

• →QA/QC, Validation and Readiness    

• →Perform quality assurance and validation across:
  • →MMx input datasets
  • →Control variables and assumptions
  • →Model outputs (impactables, ROI, mROI)
• →Review outputs for logic, stability, and reasonability, flagging data or modelling risks early.
• →Ensure analyses meet IA quality standards before stakeholder review.

• Partner with L5 Managers to:
  • • Translate brand strategy, promotional context, and known business drivers into model parameters.
    • Support decisions on variable inclusion, lags, and controls.
• Ensure business nuances are accurately reflected in MMx and incrementality setups.
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• Support Marketing Mix (MMx) Execution, Incrementality and Experimentation Analysis
  • Support MMx workflows through:
    • Data preparation and exploratory analysis
    • Parameter sanity checks (ad stock, saturation, decay)
    • Output consistency and plausibility reviews
  • Assist Managers with interpretation of outputs that inform optimization recommendations.
  • Support incrementality and test‑control analyses by:
    • Validating cohort definitions and baselines
    • Checking test/control comparability
  • Ensure analytical execution aligns with study design assumptions and limitations.
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• Documentation & Analytical Readiness
  • Maintain clear documentation of Model Assumptions, Input Definitions and Validation Steps.
  • Follow IA templates, checklists, and QA frameworks to support repeatability.
  • Ensure outputs are ready for QBRs, AOPs, and planning discussions.
• Mentor & Guide Associates (L3)
  • Provide day‑to‑day guidance and QA oversight for Associates (L3).
  • Review L3’s work for accuracy, clarity, and adherence to IA standards.
  • Help L3 build foundational skills in MMx, incrementality, and analytical discipline.
  • Escalate risks or development needs to L5 Managers as appropriate.

As a Senior Associate in Investment Analytics, you will operate in a high‑impact, execution‑critical role with increasing leadership responsibility. 

• Impact & VisibilityYour work directly supports MMx insights and optimization decisions used by senior stakeholders.You act as a quality gate ensuring leadership decisions are based on trusted analytics.undefined
• Cross‑Functional LeadershipGain exposure to how IA partners with MSO and Media Analytics contextually.Understand how MMx and incrementality shape brand investment decisions.undefined
• Growth & DevelopmentDevelop deep, hands‑on proficiency in marketing science and econometric model execution and validation.Develop early people‑leadership skills through mentoring Associates.undefined
• Innovation Environment Operate within robust analytical frameworks while contributing ideas to improve execution efficiency and consistency. 

BASIC QUALIFICATIONSBachelor’s or Master’s degree in Economics, Statistics, Data Science, Marketing Analytics, or a related field; 4–6 years of experience in analytics or marketing analytics roles.Strong SQL skills and hands‑on experience with Python or R.Experience working with time‑series and investment data.Demonstrated ability to perform structured QA and validation.Prior experience mentoring or guiding junior analysts is required.

Preferred QualificationsExposure to Marketing Mix Modelling (MMx) or econometric analysis.Familiarity with incrementality or experimentation analytics.Experience supporting analytics in pharma, healthcare, or regulated environments.Strong communication skills with the ability to collaborate closely with Managers to deliver high‑quality analytical outputs.