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Job Description
Job Description:
Level: Associate (L3)Role: Marketing Investment Optimization – Media Analytics
MIO OVERVIEW:
The Marketing Investment Optimization (MIO) vertical at Amgen is responsible for enabling data‑driven, decision‑grade marketing investment decisions across brands, channels, and portfolios.
MIO brings together Investment Analytics (IA), Media Analytics (MA), and Marketing Science Operations (MSO) to measure effectiveness, quantify incrementality, and optimize marketing investments.
MIO focuses on marketing mix modelling (MMx), Experimentation and Causal Measurement, Optimization, Media and Campaign analytics, Scenario Planning, ensuring that marketing dollars are allocated to maximize business impact. The team partners closely with Brand Marketing, GCC/Agencies, CD&A, and MSO to translate complex analytics into actionable investment decisions.
Role Summary
The Associate – Media Analytics role is an entry‑level analytics position within the Media Analytics team. This role is ideal for candidate who are excited about applying analytical thinking, structured problem solving, and data skills to real‑world business questions.
The team will provide structured learning and on‑the‑job exposure. What matters most is curiosity, critical thinking, and a strong learning mindset.
LIVE | WHAT YOU WILL DO
As an Associate, you will work under guidance from Senior Associates and Managers to support analytical deliverables and build strong foundations in applied analytics.
You will:
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Support campaign and media performance reporting across TV, digital, and other paid media channels
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Assist in data extraction, cleaning, validation, and reconciliation from multiple media data sources
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Build and maintain tables, charts, and dashboards to track key media KPIs
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Perform quality checks (QA) on media metrics to ensure accuracy and consistency
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Help analyze trends in delivery, reach, frequency, engagement, and outcome proxies
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Assist in preparing weekly and monthly readouts, summaries, and presentation materials
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Collaborate with team members to meet project timelines and quality standards and actively communicate project status updates.
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Engage in ongoing learning to develop industry knowledge, and technical capabilities.
BASIC QUALIFICATIONS
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Bachelor's (3 to 6 Yrs) or master's (2 to 4 Yrs) degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering.
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Experience in any analytical, data, or problem‑solving role.
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Experience with Excel, SQL, or any data analysis tool.
Preferred Qualifications
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Demonstrated ability to perform structured QA and validation.
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Familiarity with dashboards, KPIs, or reporting; Interest in media, digital marketing, or performance measurement
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Experience supporting analytics in pharma, healthcare, or regulated environments.
Strong communication skills with the ability to collaborate closely with Senior Associates to deliver high‑quality analytical outputs.
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About Amgen

Amgen
PublicA biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.
10,001+
Employees
Thousand Oaks
Headquarters
$138B
Valuation
Reviews
3.6
10 reviews
Work-life balance
3.2
Compensation
4.1
Culture
3.4
Career
2.8
Management
3.5
65%
Recommend to a friend
Pros
Excellent benefits and health benefits
Good pay and compensation
Supportive management and strong leadership
Cons
Limited career growth and promotion opportunities
Work-life balance challenges and long hours
Bureaucratic processes
Salary Ranges
1,244 data points
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist
0 reports
$100,368
total per year
Base
-
Stock
-
Bonus
-
$85,234
$115,502
Interview experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
40%
Experience
Positive 20%
Neutral 80%
Negative 0%
Interview process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical/Role-Specific Interview
5
Panel Interview
6
Offer
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
Data Analysis/Statistics
Culture Fit
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