Staff Marketing Strategy Analyst

Malvern, PA, US • Posted 25 days ago • Updated 6 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Brand
  • Modeling
  • Strategist
  • Marketing Analytics
  • Optimization
  • Advanced Analytics
  • Sales
  • Data Engineering
  • Management
  • Clarity
  • Decision-making
  • Strategic Thinking
  • Mentorship
  • Stakeholder Management
  • Training
  • Roadmaps
  • Dashboard
  • Apache Velocity
  • Partnership
  • Analytical Skill
  • Financial Services
  • Marketing Strategy
  • Statistics
  • Data Science
  • Economics
  • Applied Mathematics
  • SQL
  • Python
  • Data Wrangling
  • Evaluation
  • A/B Testing
  • Statistical Models
  • Regression Analysis
  • Time Series
  • Predictive Modelling
  • Marketing
  • KPI
  • Return On Investment
  • Digital Marketing
  • Communication
  • Writing
  • Leadership
  • Analytics
  • Innovation
  • Accountability
  • Finance
  • Collaboration

Summary

Job Description

At Vanguard Personal Investor Marketing, we re on a mission to help individuals achieve financial well-being by connecting them with our world-class investment products and services. Our team plays a critical role in shaping how we engage with prospects and clients bringing the power of Vanguard s trusted brand to life through data-driven, personalized marketing. \n \nTo elevate our impact, we re investing in cross-functional Marketing Analytics initiatives that drive meaningful transformation and unlock scalable impact across the organization. This team will serve as a strategic connector across the marketing organization to unlock opportunities for optimization, measurement and experimentation.

We are seeking a Staff Marketing Strategy Analyst to drive step-change improvements in marketing performance through advanced analytics, marketing strategy, experimentation design, and predictive/causal modeling. This role operates as an analytical strategist - owning ambiguous, high-complexity problems end-to-end and shaping the analytics agenda across multiple workstreams and stakeholders.

The ideal candidate thrives at the intersection of marketing strategy, analytics, and data science setting direction, aligning partners, and influencing outcomes at all levels of the organization. They can translate complex data into actionable narratives for both technical and executive audiences, ensuring insights are implemented and measurably improve business outcomes.

Core Responsibilities (Strategy Design + Analytics and Data Science Execution + Leadership):

1) Own ambiguous, complex problem spaces end-to-end

  • Frame unclear business needs into well-scoped analytical problem statements, hypotheses, and decision pathways
  • Define success metrics, measurement strategy, and evaluation methodology tied to business OKRs
  • Drive work independently across multiple concurrent priorities with minimal oversight

2) Set analytical strategy and scalable frameworks

  • Establish and evolve the marketing analytics framework for optimization, measurement, and experimentation at scale
  • Architect repeatable approaches for:

-Enhanced campaign reach and effectiveness

-Measurement and experimentation

-Incremental lift and causality

-Optimization and scenario planning

  • Translate strategy into operational playbooks and scalable data products (data blocks, model scores, operationalization pipelines, experimentation standards)

3) Deliver advanced analytics that changes business decisions

  • Lead advanced analyses using statistical modeling, predictive approaches, and experimentation/causal inference techniques to identify drivers of ROI and customer outcomes
  • Perform what-if and sensitivity analyses to quantify tradeoffs, risks, and expected impact
  • Diagnose performance issues across funnel stages (awareness conversion retention), translating findings into concrete action plans

4) Lead through influence

  • Serve as a strategic connector across Marketing, Sales, MarTech, Data Science, Data Engineering, Data Strategy, and other analytics teams
  • Facilitate alignment on approach, methodology, governance, scope, requirements, and roadmaps
  • Build coalitions, negotiate tradeoffs, and drive decisions when stakeholders have competing priorities

5) Executive-ready communication and storytelling

  • Create crisp, compelling narratives that communicate:

-What we learned

-What it means for the business

-What we recommend

-How we will measure impact

  • Present insights to senior leaders and executives; proactively manage risk, uncertainty, and methodology limitations with clarity

6) Raise the bar for analytics maturity

  • Proactively identify opportunities to improve marketing effectiveness through better data, tools, or processes
  • Evangelize data-driven decision-making, strategic thinking, and experimentation best practices across the organization
  • Mentor peers and junior analysts on analytical rigor, storytelling, and stakeholder management
  • Identify capability gaps and propose solutions (tooling, data, operating model, training, governance)

What success looks like (first 6-12 months)

  • Establish subject matter expertise in full data ecosystem internal and 3rd party
  • Established a clear roadmap aligned to marketing OKRs and adoption by key stakeholders
  • Ship at least 1 2 scalable analytics assets (e.g., Analytical and Data Science approach and roadmap, Standardized KPI framework, experimentation playbook, Client insights using data, self-serve executive dashboard with ongoing enhancements) that reduce ad-hoc effort and improve decision velocity.
  • Delivered quantified business impact (e.g., improved ROI, conversion, cost efficiency, or incremental lift) supported by robust measurement
  • Built strong cross-functional partnerships and credibility as a go-to analytical leader

The ideal candidate will have:

  • 10+ years experience within Financial Services, 8+ years experience in marketing strategy analytics, with demonstrated progressive scope and influence
  • Undergraduate degree in Marketing, Statistics, Data Science, Economics, Applied Mathematics, or related field (Graduate degree preferred)
  • Advanced proficiency in SQL and at least one analytics language (Python preferred); strong command of data wrangling and reproducible analysis
  • Strong knowledge of:

-Experimentation design and evaluation (A/B testing, power, guardrails, inference)

-Statistical modeling (regression, segmentation, time series, predictive modeling)

-Marketing/funnel KPIs (ROI, LTV, CAC, attribution, engagement, conversion)

-Deep understanding of digital marketing ecosystems (channels, platforms, and measurement strategies)

  • Proven ability to cross influence across multiple stakeholder groups
  • Excellent executive communication ability to distill complexity into clear decisions and recommendations. Strong deck writing skills to influence senior leadership.
  • Entrepreneurial mindset, building and scaling new analytics capabilities from the ground up while balancing innovation, rigor, and enterprise level accountability

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: zipfeed
  • Position Id: 34ed82505478ead9
  • Posted 25 days ago
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