Staff Marketing Strategy Analyst

We are seeking aStaffMarketing Strategy Analystto drive step-change improvements in marketing performance through advanced analyticsmarketingstrategy experimentation design and predictive/causal modeling. This roleoperatesas 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 sciencesetting 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 (StrategyDesignAnalytics and Data ScienceExecution Leadership):

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

• Frame unclear business needs into well-scopedanalyticalproblem statements hypotheses and decision pathways
• Define success metrics measurement strategy and evaluationmethodologytied to business OKRs
• Drive work independently across multiple concurrent priorities with minimal oversight

2) Set analytical strategy and scalable frameworks

• Establish and evolve themarketinganalytics 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 dataproducts (data blocks model scores operationalizationpipelines experimentation standards)

3) Deliveradvanced analyticsthat changesbusinessdecisions

• Lead advanced analyses using statistical modeling predictive approaches and experimentation/causal inference techniquestoidentifydrivers 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 SalesMarTech Data Science Data EngineeringData Strategy and other analytics teams
• Facilitate alignment onapproachmethodology governance scope requirements and roadmaps
• Build coalitions negotiate tradeoffs and drive decisions when stakeholders have competing priorities

5) Executive-readycommunication andstorytelling

• Create crisp compelling narratives that communicate:

-What we learned

-What it means forthe business

-What we recommend

-Howwe will measure impact

• Present insights to senior leaders and executives; proactively manage risk uncertainty andmethodologylimitations with clarity

6) Raise the bar for analytics maturity

• Proactivelyidentifyopportunities 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
• Identifycapability gaps and propose solutions (tooling data operating model training governance)

What success looks like (first6-12months)

• Establish subject matterexpertisein full dataecosystem internal and 3rdparty

• Established a clear roadmap aligned to marketing OKRs and adoption by key stakeholders

• Ship at least 12 scalable analytics assets ( and Data Science approach and roadmapStandardized KPI framework experimentation playbookClient insights using dataself-serveexecutive dashboardwith 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 yearsexperiencewithin Financial Services8 yearsexperience in marketingstrategyanalytics withdemonstratedprogressive scope and influence
• Undergraduatedegree in Marketing Statistics Data Science Economics Applied Mathematics or related field (Graduate degreepreferred)
• Advancedproficiencyin 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 communicationability to distill complexity into clear decisions and 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

About Vanguard

At Vanguard we dont just have a missionwere 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.