Director, Data, Analytics & Intelligence

Los Angeles, CA (On-site)

$125K/yr – $150K/yrDirector/ExecutiveFull time

Posted 10 days ago

Job Summary

Own and lead Bloom Ads' analytics, measurement, and data operations practice across MMM, attribution, and activation, guiding analytical maturity and client impact while managing a growing team.

Develop and govern analytics frameworks, MMM, and attribution models
Lead data operations and governance to ensure clean, accessible data for reporting and activation

Job Description

Responsibilities

Analytics & Insights Leadership - Lead and mentor a growing team of analysts and data professionals, establishing clear standards for analytical rigor, storytelling, and client impact.
Develop and evolve Bloom Ads' enterprise analytics and measurement framework across clients, industries, and media channels.
Lead the development and application of Marketing Mix Modeling (MMM) to quantify marketing effectiveness, identify diminishing returns, optimize channel investment, and inform scenario planning.
Develop closed-loop attribution frameworks that connect media exposures and engagements to downstream customer actions, including leads, sales, revenue, customer value, and other business outcomes.
Establish measurement strategies that appropriately combine MMM, attribution, incrementality testing, experimentation, platform measurement, and business intelligence.
Design and oversee campaign measurement, test-and-learn programs, geo experiments, holdout tests, A/B tests, incrementality studies, and other causal measurement approaches.
Develop forecasting, response curves, optimization models, propensity models, segmentation approaches, and other statistical or machine-learning applications.
Lead customer journey, CRM, digital analytics, website, mobile, app, social media, and user-level analyses where appropriate.
Identify emerging analytical methodologies, technologies, and data sources that can improve client decision-making and agency differentiation.
Data Operations - Oversee the processes and infrastructure used to collect, normalize, govern, and deliver data for reporting, analytics, modeling, and activation.

Requirements

5+ years of experience in advanced analytics, marketing science, data science, measurement, or a related discipline, preferably within a media agency, marketing agency, advertising consultancy, or similar environment.
2+ years of experience managing and developing analytics, data science, or measurement professionals.
Bachelor's degree in statistics, mathematics, economics, data science, computer science, engineering, or another quantitative discipline; advanced degree preferred.
Demonstrated experience developing and applying Marketing Mix Models in real-world marketing environments.
Experience building or managing closed-loop attribution approaches that connect media activity with leads, transactions, revenue, or customer outcomes.
Strong understanding of incrementality, experimental design, causal inference, attribution, media effectiveness, and marketing response modeling.
Advanced proficiency in Python and/or R .
Strong SQL skills and experience working with large, complex datasets.
Experience with data wrangling, regression analysis, statistical modeling, machine learning, forecasting, and optimization techniques.
Demonstrated experience translating analytical outputs into marketing and media investment recommendations.

Preferred

Master's degree in statistics, mathematics, economics, data science, analytics, or a related quantitative discipline.
Experience with cloud data environments and modern data stacks.
Experience with customer data platforms, identity solutions, data clean rooms, or privacy-enhancing measurement technologies.
Familiarity with APIs, automated data pipelines, ETL/ELT workflows, and marketing data infrastructure.
Experience with commerce media or retail media measurement.
Knowledge of modern attribution, identity, and privacy frameworks.
Experience developing proprietary analytics products, methodologies, or agency intellectual property.
Certifications or advanced familiarity with major advertising, analytics, and cloud platforms.