Director, Marketing Analytics

One Park Financial

. Set and lead the marketing analytics agenda and roadmap from measurement through advanced modeling .

Posted 9/29/2026full-timeMiami • Florida • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in marketing analytics and data science, with a strong focus on attribution, media mix modeling, and predictive analytics. Proven ability to lead teams, communicate insights to executives, and integrate advanced AI tools into marketing operations.

Highest-signal resume keywords

Marketing Analytics LeadershipAttribution ModelingPredictive Marketing Data ScienceSQL and Python ProficiencyMedia Mix Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Attribution ModelingMedia Mix ModelingIncrementality TestingPredictive ROASStatistical AnalysisLead-Value ScoringValue-Based SegmentationCampaign Taxonomy DevelopmentSQLPython

Soft Skills

Executive CommunicationBusiness JudgmentTeam Leadership

Tools & Technologies

Customer Data PlatformMeta CAPIGoogle Enhanced ConversionsGA4AWSDbtSegmentHightouchCensus

Certifications & Qualifications

Bachelor's Degree in Quantitative FieldMaster's Degree in Quantitative Field

Industry Keywords

Marketing AnalyticsGrowth AnalyticsFintechLendingInsurance

Tech Stack

Tools & technologies

AWSCloudPandasPythonSQL

About the role

Key responsibilities & impact

Set and lead the marketing analytics agenda and roadmap from measurement through advanced modeling
Own attribution end to end, including multi-touch models and ROAS by channel, campaign, and creative
Lead media mix modeling, incrementality testing, and geo-lift experiments to guide budget allocation and establish causal impact
Lead predictive marketing data science, including lead-value scoring, value-based audience segmentation, and predictive ROAS
Own full-funnel marketing performance measurement from ad impression through questionnaire, funded deal, and downstream outcome
Direct the build of campaign taxonomy, naming standards, UTM governance, attribution pipeline, customer data platform, and marketing data model with data engineering
Own pre-lead funnel tracking, landing-page and questionnaire step-level analysis, and campaign drop-off analysis
Own KPI and value-realization frameworks across the marketing project portfolio
Lead, develop, and grow the data science and analytics team
Provide analytics input to marketing planning and budget decisions with quantified tradeoffs
Present recommendations and analytical findings to executives, including the CEO, in plain language with clear visuals
Partner closely with the Senior Director of Business Intelligence and marketing and growth leadership
Incorporate modern AI and LLM tooling into marketing analytics operations

Requirements

What you’ll need

8 or more years in marketing analytics, marketing data science, or growth analytics
2 or more years leading analysts or data scientists
Track record of running an analytics function or major analytics program with a high degree of autonomy
Bachelor's or Master's degree in a quantitative field such as economics, statistics, mathematics, marketing analytics, or computer science
Deep, hands-on attribution and marketing-measurement experience at real scale on paid digital, including Meta and Google, ideally TikTok, at eight-figure annual spend
Knowledge of platform reporting, conversion APIs, and return on ad spend
Experience building or leading media mix modeling, including diminishing-returns and saturation curves
Experience designing and interpreting incrementality and geo-lift testing, including holdouts and matched markets
Data-science depth in multi-touch attribution, predictive lead-value and lifetime-value scoring, value-based segmentation, and predictive ROAS
Ability to direct data science work, critically review models, stress-test assumptions, and defend methodology to executives
Strong statistical and experimental judgment
Strong SQL and working Python, including pandas or notebooks
Experience establishing campaign taxonomy, event dictionaries, UTM governance, server-side conversion tracking, Meta CAPI, Google Enhanced Conversions, GA4 or equivalent, and warehouse-based marketing data models
Experience with a customer data platform such as Segment, Hightouch, Census, or similar
Excellent business judgment and executive communication
Experience in lending, fintech, insurance, or another business with a long funnel and underwriting or qualification gate is a strong plus
Experience connecting marketing performance to downstream unit economics such as profitability, loss, or lifetime value is a strong plus
Understanding of modern AI, including LLMs, agents, and MCPs, is a plus
Experience with dbt and cloud data environments, particularly AWS, is a plus

Benefits

Comp & perks

Local & National Health Insurance
Dental and Vision insurance
Group Medical Bridge
401k with Match
ID Protection: 100% covered by the company
Life Insurance: 100% covered by the company
Generous PTO and holidays
Continuous learning opportunities
Training programs
Career advancement paths
Supportive and inclusive work environment
Cutting-edge technology and innovative environment