Sr Associate - Marketing Mix/Investment Analytics
About this opportunity
Career Category
Operations
Job Description
HOW MIGHT YOU DEFY IMAGINATION?
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.
LIVE | WHAT YOU WILL DO
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.
Translate Business Context into Model Inputs
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.
THRIVE | WHAT YOU CAN EXPECT
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.
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Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 592 comparable Senior Information Technology roles across 56 biopharma companies.
Salary context
75 of 592 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 592 comparable roles
+ 25 more countries
Seniority mix
592 of 592 peers have a known seniority level
Therapeutic area mix
4 of 592 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.