Director, Data Analytics & Intelligence

Bloom Ads Global Media•Los Angeles, CA

3d•$125,000 - $150,000•Hybrid

About The Position

Bloom Ads is seeking a strategic, technically fluent, client-focused leader to advance its data, measurement, analytics, and media intelligence capabilities. Reporting to the SVP, Agency Integration, the Director will coordinate and develop capabilities across Analytics & Insights, Data Operations, and Media Activation & Intelligence. The role will build an integrated measurement ecosystem that connects media investment to business outcomes and supports faster, more accountable marketing decisions. The Director will develop and oversee measurement approaches spanning Marketing Mix Modeling (MMM), closed-loop attribution, incrementality testing, experimentation, customer journey analytics, media intelligence, and multi-touch or user-level measurement where appropriate. The role combines strategic leadership with hands-on analytical expertise, including the ability to translate complex findings into clear business recommendations for clients, agency leadership, account teams, and media teams. The position requires prior experience leading marketing analytics and measurement engagements in an agency, advertising consultancy, or similar environment. This is a hybrid role requiring at least four days in the office each week. The role also requires travel to and from client and vendor sites in a personal vehicle. The Director will lead and develop a multidisciplinary team, establish scalable analytical and operational processes, advise clients and agency leaders, and help create analytics products and offerings. Compensation is $125,000–$150,000 per year, depending on experience.

Requirements

At least 5 years of experience in advanced analytics, marketing science, data science, measurement, or a related discipline; agency, consultancy, or similar experience preferred.
At least 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.
Demonstrated experience developing and applying Marketing Mix Models in real-world marketing environments.
Experience building or managing closed-loop attribution connecting 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.
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 Campaign Manager 360, DV360, The Trade Desk, Google Ads, Meta, and similar technologies.
Experience developing dashboards, reporting frameworks, and business intelligence solutions.
Strong executive communication and presentation skills, including the ability to explain technical concepts in clear business language.
Ability to manage multiple workstreams in a fast-paced agency environment.

Nice To Haves

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.

Responsibilities

Lead and mentor analysts and data professionals, setting standards for analytical rigor, storytelling, and client impact.
Develop and evolve the enterprise analytics and measurement framework across clients, industries, and media channels.
Develop and apply Marketing Mix Models to evaluate marketing effectiveness, identify diminishing returns, optimize investment, and inform scenario planning.
Develop closed-loop attribution frameworks that connect media activity with customer actions and business outcomes.
Establish measurement strategies combining MMM, attribution, incrementality testing, experimentation, platform measurement, and business intelligence as appropriate.
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, website, mobile, app, social, and user-level analyses where appropriate.
Identify analytical methodologies, technologies, and data sources that can improve client decisions and agency differentiation.
Oversee data collection, normalization, governance, and delivery processes and infrastructure for reporting, analytics, modeling, and activation.
Partner with internal teams and external technology partners to improve data quality, consistency, automation, documentation, and scalability.
Establish standardized data structures and taxonomies across media platforms, ad servers, analytics environments, CRM systems, and client data sources.
Ensure analytics teams have reliable access to clean, timely, well-documented data.
Develop quality assurance and governance processes for data pipelines, campaign taxonomy, reporting datasets, and model inputs.
Reduce manual data processing and create repeatable, automated workflows with cross-functional teams.
Help define approaches to first-party data integration, identity resolution, privacy-conscious measurement, clean rooms, and data collaboration environments.
Partner with media leadership to embed data and analytics into media planning, activation, optimization, and investment decisions.
Oversee campaign activation workflows, including trafficking, naming conventions, taxonomy, UTMs, tagging, pixels, conversion events, and tracking implementation.
Establish launch QA standards for targeting, budgets, flight dates, creative assignments, destination URLs, tracking, and measurement configuration.
Manage preview links, creative proofing, campaign approvals, and coordination across media, creative, ad operations, analytics, and technology teams.
Monitor campaign delivery and data integrity to ensure key events and metrics are accurately captured.
Translate measurement and performance data into actionable media recommendations, audience strategies, and optimization decisions.
Develop scalable media intelligence, governance, and automation processes to improve campaign execution, measurement, troubleshooting, and cross-channel performance.
Serve as a senior analytics and measurement partner to key clients and work with client and agency teams to identify business challenges and analytical solutions.
Explain statistical concepts and technical findings as clear, actionable business recommendations.
Lead client discussions on measurement strategy, attribution, MMM, experimentation, data infrastructure, and marketing effectiveness.
Present findings and recommendations to senior client stakeholders, including marketing, finance, analytics, and executive leadership.
Develop relationships with measurement vendors, platform partners, technology providers, and client data organizations.
Partner with agency leadership to develop analytics products, intellectual property, capabilities, and commercial offerings.
Support new-business opportunities by demonstrating Bloom Ads' data, analytics, and measurement capabilities.
Manage, mentor, and develop a multidisciplinary team across analytics and related data functions.
Establish standards for analytical quality, methodology, documentation, and communication, and build capabilities that scale across clients.
Encourage collaboration across analytics, data operations, media, strategy, account management, creative, and technology teams.
Create a culture of experimentation, curiosity, accountability, and continuous improvement while balancing technical fluency with strategic leadership and client counsel.
Travel to and from client and vendor sites in a personal vehicle.

Benefits

Comprehensive medical benefits, including health, dental, vision, life, and AD&D coverage.
Generous vacation policy.
Holiday PTO and Work-from-Home Fridays.
Company contributions to 401(k) retirement savings.
Paid volunteer hours.
Professional development opportunities.
Free snacks.
Coffee Thursdays.
Monthly lunch-and-learns.
Quarterly town halls with food, prizes, and company updates.
Team parties and celebrations.