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Staff Marketing Analytics Strategist

Vanguard

Staff Marketing Analytics Strategist

Vanguard

Charlotte, NC; Malvern, PA

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Flexible Hours

Flexible Hours

Required Skills

Marketing analytics

Attribution modeling

Stakeholder management

We are seeking a Principal Marketing Analytics Strategist to drive strategic use of our marketing attribution products, including Marketing Mix Models (MMM), Multi-Touch Attribution (MTA) models, and Experimentation. This role is ideal for someone who thrives at the intersection of marketing strategy, analytics, and data science, and who can translate complex business questions into scalable analytic solutions.
In this role you will:

  • Execute flawlessly on marketing attribution products to build analytic insights that shape marketing strategy.

  • Partner with marketing, data science, and data engineering teams to define and deliver attribution solutions that drive business impact.

  • Translate marketing and business questions into analytical approaches, ensuring alignment with data availability, modeling capabilities, and business goals.

  • Evangelize attribution methodologies and experimentation best practices across the organization.

  • Run monthly marketing performance assessments and "what if" scenarios.

  • Build consensus and influence senior stakeholders to gain confidence in methodology and drive towards a solution.

  • Ensure attribution products are scalable, accurate, and actionable across digital and offline channels.

  • Participate in special projects and perform other duties as assigned.

What it takes:

  • Minimum of ten years of related work experience with five years in advanced marketing optimization

  • Undergraduate degree or equivalent combination of training and experience.

The ideal candidate will have:

  • Deep understanding of digital marketing ecosystems, including channels, platforms, and measurement strategies.

  • Proven experience with Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and A/B testing or causal inference frameworks.

  • Strong technical fluency in data, analytics, and modeling concepts; ability to collaborate effectively with data scientists and engineers.

  • Exceptional communication and stakeholder management skills.

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

Junior/L3 · Client Relationship Associate

529 reports

$60,018

total / year

Base

$55,076

Stock

-

Bonus

$4,942

$46,375

$78,763

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