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Marketing Attribution Experimentation Analyst

Vanguard

Marketing Attribution Experimentation Analyst

Vanguard

Charlotte, NC; Malvern, PA

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Hybrid Work

Required Skills

Marketing Analytics

A/B Testing

Causal Inference

Statistical Modeling

Data Analysis

Marketing Mix Modeling

Multi-Touch Attribution

Responsibilities:

  • Engages with internal partners to understand business strategy, questions and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads complex projects through completion.
  • Delegates tasks and provides tactical and strategic guidance to peers. Serves as the analytics expert on cross-functional teams for large strategic initiatives.
  • Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness.
  • Performs analyses of historical data to surface trends and insights using advanced analytical methods. Validates analytical techniques employed by other analysts.
  • Prepares and delivers expert level visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.
  • Develops, owns and manages recurring analytic or reporting processes.
  • Actively develops the analytics community at Vanguard by mentoring, coaching and connecting others with resources and training. Participates and presents during scheduled analytics seminars.
  • Participates in special projects and performs other duties as assigned.

Qualifications:

  • Minimum of eight years of related work experience with five years in marketing experimentation, causal inference, or advanced analytics
  • Deep understanding of digital marketing ecosystems, including channels, platforms, and measurement strategies
  • Proven experience designing and analyzing A/B tests, holdout tests, and other causal inference methods
  • Familiarity with Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) frameworks
  • Strong technical fluency in data, analytics, and statistical modeling; ability to collaborate effectively with data scientists and engineers
  • Exceptional communication and stakeholder management skills
  • Undergraduate degree or equivalent combination of training and experience

Special Factors
Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work:

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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About Vanguard

Vanguard

A client-owned investment company that offers low-cost mutual funds, ETFs, advice, and related services to institutional and individual investors, and financial professionals.

10,001+

Employees

Kelayres

Headquarters

Reviews

3.4

3 reviews

Work Life Balance

2.5

Compensation

3.2

Culture

2.8

Career

3.5

Management

3.0

45%

Recommend to a Friend

Pros

Competitive compensation package with bonuses

Good foundation for career development

Interesting programs aligned with education

Cons

Long commute requirements (2.5 hours)

Mandatory on-site presence multiple days

Pay below industry standards

Salary Ranges

1,532 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Processing Associate

135 reports

$57,471

total / year

Base

$53,433

Stock

-

Bonus

$4,038

$45,260

$73,912

Interview Experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter/HR Phone Screen

3

Technical/Case Study Round

4

Final Round Interview

5

Offer

Common Questions

Behavioral/STAR

Technical Knowledge

Case Study

Past Experience

Culture Fit