Advanced Analytics Manager
India - Hyderabad
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- 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 experience
- Experience collaborating with cross-functional teams across marketing, finance, and vendors.
- Familiarity with causal inference methods or simulation techniques.
Qualification wording
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.
Experience collaborating with cross-functional teams across marketing, finance, and vendors.
Familiarity with causal inference methods or simulation techniques.
Education & alternatives
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.
Tools in this posting
- Python
- SQL
- Databricks
- PySpark
Source — Tool mentions in context
- 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.
- 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.
Job description
Career Category
EngineeringJob 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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on amgen.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
India - Hyderabad
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Apr 18, 2026
- Recorded sightings
- 140
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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