CD&A - Associate Director, Marketing Investment Optimization

BioSpace; Thousand Oaks (CA); On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Health benefits

Retirement plans

Stock-based incentives

Time-off programs

Flexible work models

Job summary

A leading biotechnology company is seeking an Analytics lead within the Decision Sciences team. This role involves understanding market trends and making data-driven decisions to optimize marketing spend. Responsibilities include collaborating with cross-functional teams, building predictive models, and assessing spend efficiency. Ideal candidates will have significant data science experience and proficiency in tools like Python, R, and SQL.

Qualifications

• 3+ years of data science and/or analytics experience.
• Proficient in building predictive models.
• Able to communicate insights to technical and non-technical stakeholders.

Responsibilities

• Partner with teams to derive insights driving business value.
• Oversee building algorithms and models using Python or R.
• Accountable for measuring spend efficiency.

Skills

Data science

Analytics

Python

R

SQL

Excel

Tableau

Statistical estimation

Optimization techniques

Collaboration

Education

Doctorate degree

Master’s degree

Bachelor’s degree

Associate’s degree

High school diploma / GED

Tools

Databricks

PySpark

Job description

CD&A - Associate Director, Marketing Investment Optimization

Amgen is seeking an Analytics lead within the Decision Sciences team of Commercial Data and Analytics (CD&A). The role focuses on understanding customer needs, market trends, and the competitive landscape, and making data-driven investment decisions. You will collaborate with cross-functional teams to optimize marketing spend and drive ROI, and develop predictive and prescriptive models to deliver insights across the US Commercial Organization.

What You Will Do

• Partner with cross-functional teams on projects to derive insights that drive substantial business value for Amgen and patients.
• Oversee building high-performance algorithms, prototypes, predictive models, and proof-of-concepts using Python or R.
• Identify business needs and propose and execute analytical approaches.
• Communicate analysis ideas, progress, and results to leadership and business partners.
• Be accountable for measurement of spend efficiency and for recommendations on optimization of future spend across brands, tactics, channels, and audience types.
• Collaborate with Marketing, Media, Finance and other CD&A teams to create marketing budgets and monitor spending to maximize ROI.
• Work closely with marketing and finance teams to analyze the financial impact of marketing initiatives.

What We Expect of You

We value collaboration and the ability to contribute to a diverse team delivering patient-focused outcomes. The professional we seek will possess the following qualifications.

Basic Qualifications

• Doctorate degree and 3 years of data science and/or analytics experience
• OR Master’s degree and 5 years of data science and/or analytics experience
• OR Bachelor’s degree and 7 years of data science and/or analytics experience
• OR Associate’s degree and 12 years of data science and/or analytics experience
• OR High school diploma / GED and 14 years of data science and/or analytics experience

Preferred Qualifications

• Excellent organization and planning skills with the ability to manage multiple complex projects.
• Ability to collaborate with and influence partners and IS resources to drive analytic projects end-to-end.
• Proven ability to interpret and communicate analytical insights to technical and non-technical stakeholders.
• Technical proficiency with strong problem-solving and decision-making skills.
• Passion for learning and staying current in advanced analytics.
• Marketing Mix and/or Multi-Touch Attribution experience.
• Experience with Excel, R, SQL, Python, Tableau.
• Experience applying statistical estimation and/or optimization techniques.
• Experience with pharmaceutical data sets (prescriber-plan data, patient-level data, claims, EMR/EHR data, media data, etc.).
• Experience with large datasets and distributed computing tools (Databricks, PySpark).

What You Can Expect From Us

Amgen supports professional and personal growth and well-being through competitive benefits and a collaborative culture. The company offers a Total Rewards Plan including health benefits, retirement plans, stock-based incentives, time-off programs, and flexible work models where possible.

Equality and Inclusion

Amgen is an Equal Opportunity employer and will consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other characteristic protected by law. We provide reasonable accommodations in the application and interview process upon request.