Advanced Analytics Manager

Amgen Technology

Hyderabad

On-site

INR 1,800,000 - 2,400,000

Full time

3 days ago
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Job summary

Amgen Technology in Hyderabad seeks a Marketing Mix Modeling lead to design and execute MMM studies, evaluate promotional effectiveness, and guide investment decisions. You will analyze channel trends, inform resource allocation, and translate model outputs into actionable business recommendations through compelling visuals and storytelling.

You will build dashboards and presentations for brand leadership, collaborate with US teams, finance, and vendors, and mentor junior analysts while working

Qualifications

  • Masters degree in Economics, Data Science, Applied Statistics, or related field.
  • Experience building or applying MMM in pharma or healthcare context.
  • Strong Python and SQL skills with Databricks or equivalent cloud-based environments.
  • Excellent communication and presentation skills, with ability to influence commercial decision-makers.
  • Ability to translate technical analyses into business-friendly insights.

Responsibilities

  • 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 guide resource allocation and return on marketing investments.
  • Translate model outputs into actionable insights and business recommendations through storytelling.
  • Build dashboards, PowerPoint summaries, and talking points for brand leadership and US-based stakeholders.
  • Collaborate with US brand teams, marketing, finance, and vendors to align on inputs and interpretations.
  • Work hands-on in Databricks using Python/PySpark and SQL to clean, transform, and model large datasets.
  • Mentor junior analysts in marketing measurement and coding best practices.

Skills

Python
SQL
Databricks
Communication
Presentation
Data storytelling

Education

Masters degree or Bachelors with equivalent experience

Tools

Databricks
PowerPoint

Job description

HOW MIGHT YOU DEFY IMAGINATION
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
  • Masters degree (or Bachelors with equivalent experience) in Economics, Data Science, Applied Statistics, or related field.
  • 812 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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