Director, Data Analytics & Intelligence
- Compensation
- Not disclosed
- Location
- Woodland Hills, California, United States
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data analytics
- Posted
Skills
Must have
- You are equally comfortable discussing marketing strategy with a CMO, measurement methodology with an analytics team, data architecture with technical partners, and campaign performance with media pra
- You understand that no single measurement methodology provides a complete answer. You know when to apply MMM, experimentation, closed-loop attribution, platform measurement, or user-level analysis—and
- You enjoy building capabilities, not simply delivering analyses. You can establish frameworks, develop teams, improve processes, and create repeatable solutions that scale across multiple clients.
- You are intellectually curious, commercially minded, and comfortable challenging established approaches when better data or methodology suggests a different direction.
- 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 sim
- 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.
- Experience working with DTC, commerce, lead-generation, or other data-rich clients.
- Strong understanding of media platforms, advertising technology, measurement platforms, and media terminology.
- Familiarity with major ad servers, DSPs, search platforms, social platforms, and analytics environments, including platforms such as Campaign Manager 360, DV360, The Trade Desk, Google Ads, Meta, and
- Experience developing dashboards, reporting frameworks, and business intelligence solutions.
- Strong executive communication and presentation skills.
- Ability to explain highly technical concepts in clear business language.
- Proven ability to manage multiple workstreams in a fast-paced agency environment.
Nice to have
- 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.
Full description
Director, Data, Analytics & Intelligence
Job Summary
Bloom Ads is seeking a highly strategic, technically fluent, and client-focused Director, Data & Analytics to lead the continued evolution of our data, measurement, analytics, and media intelligence capabilities.
This role will report to the SVP, Agency Integration and will provide leadership across three interconnected disciplines:
- Analytics & Insights
- Data Operations
- Media Activation & Intelligence
The Director will be responsible for building an integrated measurement ecosystem that connects media investment to business outcomes, enabling Bloom Ads and its clients to make faster, smarter, and more accountable marketing decisions.
The ideal candidate brings deep experience in agency or marketing consulting environments and understands the modern advertising measurement landscape, including Marketing Mix Modeling (MMM), closed-loop attribution, incrementality testing, experimentation, customer journey analytics, media intelligence, and multi-touch/user-level measurement where appropriate.
This individual will help establish scalable frameworks for collecting, integrating, analyzing, and activating marketing data across paid media, CRM, commerce, web, app, and client-owned data environments. The role combines strategic leadership with hands-on analytical expertise and requires the ability to translate complex data into clear business recommendations for clients, agency leadership, account teams, and media teams.
Prior experience leading marketing analytics and measurement engagements within a marketing agency, media agency, advertising consultancy, or similar environment is required.
In-Office Work Schedule This is a hybrid role, requiring a minimum of 4 days in-office per week.
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.