Advanced Analytics Manager
About this opportunity
Career Category
Engineering
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. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together, researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.
Live | What you will do
Lead the design and execution of marketing mix models (MMM) to evaluate brand promotional effectiveness and inform investment decisions.
Analyze trends across channels and campaigns to provide guidance on resource allocation and return on marketing investments.
Translate complex model outputs into actionable insights and business recommendations through compelling visual and narrative storytelling.
Build dashboards, PowerPoint summaries, and talking points for brand leadership and US-based commercial stakeholders.
Collaborate with US brand teams, marketing, finance, and vendor partners to align on inputs, assumptions, and interpretation of results.
Work hands-on in Databricks using Python/PySpark and SQL to clean, transform, and model large marketing and sales datasets.
Mentor junior analysts in marketing measurement and coding best practices as needed.
Thrive | What you can expect
As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.
Basic Qualifications
Master’s degree (or Bachelor’s with equivalent experience) in Economics, Data Science, Applied Statistics, or related field.
8–12 years of experience in analytics, with direct experience building or applying MMM in a pharma or healthcare context.
Strong Python and SQL skills with experience using Databricks or equivalent cloud-based environments.
Excellent communication and presentation skills, with ability to influence commercial decision-makers.
Demonstrated ability to translate technical analyses into business-friendly insights.
Preferred Qualifications
Exposure to media measurement, marketing channel optimization, or omnichannel campaign analysis.
Experience collaborating with cross-functional teams across marketing, finance, and vendors.
Familiarity with causal inference methods or simulation techniques.
Strong business acumen and comfort presenting to senior stakeholders in commercial or brand leadership.
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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 225 comparable Manager Information Technology roles across 30 biopharma companies.
Salary context
42 of 225 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 225 comparable roles
+ 11 more countries
Seniority mix
225 of 225 peers have a known seniority level
Therapeutic area mix
0 of 225 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
No peers with a known therapeutic area yet.
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.
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.