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Commercial Analytics Sr Mgr

Amgen

Commercial Analytics Sr Mgr

Amgen

India - Hyderabad

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

Learning Budget

Healthcare

Learning

Required Skills

Commercial analytics

Data analysis

Problem solving

Leadership

Communication

Project management

Career Category

Sales & Marketing Operations:

Job Description

Senior Manager, Commercial Analytics

Amgen India (AIN)

Amgen is seeking a Senior Manager of Commercial Analytics to deliver high-quality analyses and insights that strengthen US commercial performance. This role is part of Amgen’s growing analytics capability in India and works closely with US-based Commercial and CD&A teams to execute analytical work, generate insights, and support decision-making across the business.

The Senior Manager leads a team of analysts, guides analytical approaches, oversees day-to-day delivery, and collaborates frequently with US stakeholders. The role demands strong commercial analytics expertise, hands-on problem solving, and the ability to translate data into clear, actionable insights.

1.

Performance Analytics & Insight Delivery:

  • Lead performance analytics to understand brand drivers, payer/access shifts, promotional impact, field dynamics, and competitive trends.

  • Translate US business questions into structured analytical approaches and apply appropriate methods and datasets.

  • Develop clear, actionable insights that support brand planning, portfolio discussions, and commercial execution.

  • Apply strong US commercial understanding to ensure insights are relevant and strategically grounded.

  • Lead the production, quality, and interpretation of standard performance reports and dashboards (weekly, monthly, quarterly).

  • Own key secondary datasets by understanding data sources, business rules, and caveats, ensuring confidence and accuracy in all outputs.

2.

Cross-Functional Collaboration & Communication:

  • Partner with US teams across forecasting, market research, value and access, decision science, and reporting/visualization.

  • Communicate findings clearly, synthesizing complex analysis into concise narratives for US stakeholders.

  • Engage regularly with counterparts to refine requirements, validate assumptions, and align outputs to provide an objective data-driven perspective on performance to senior leadership

  • Proactively identify emerging trends, risks, and performance signals, ensuring timely collaboration with US teams.

  • Maintain consistency in methods, KPI definitions, and analytical standards across CD&A partners.

3. Analytics Execution, Quality & Team Leadership

  • Oversee analytical execution within the team, ensuring accuracy, rigor, and reproducibility.

  • Contribute to automation and productization efforts that reduce manual effort and speed up insights.

  • Support AI-enabled analytics by preparing data, identifying use cases, and partnering on automated outputs.

  • Ensure analytical work adheres to applicable legal, regulatory, and compliance SOPs across internal teams and vendor partners.

  • Lead, coach, and develop analysts, building capability in analytics, interpretation, and communication.

  • Foster a culture of curiosity, accountability, inclusion, and continuous improvement across the India team.

.

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About Amgen

Amgen

A biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.

10,001+

Employees

Thousand Oaks

Headquarters

$138B

Valuation

Reviews

3.8

2 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

3.0

Career

4.0

Management

3.0

70%

Recommend to a Friend

Pros

Professional development opportunities

Exposure to diverse functions and projects

Large-scale project experience

Cons

Understaffed with high output expectations

Limited permanent job opportunities

Temporary contract limitations

Salary Ranges

1,544 data points

L2

L3

L4

L5

L6

L2 · Financial Analyst L2

0 reports

$94,068

total / year

Base

$37,627

Stock

$47,034

Bonus

$9,407

$65,848

$122,288

Interview Experience

3 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 33%

Negative 67%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Round Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience