Director, Data Analytics & Intelligence

Responsibilities

• 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.
• 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.

Benefits

• Comprehensive medical benefits: health, dental, vision, life, and AD&D coverage
• Generous vacation policy
• Holiday PTO + Work-from-Home Fridays
• Company contributions to 401(k) retirement savings
• Paid volunteer hours to support causes you care about
• Professional development opportunities
• Extras That Make a Difference
• We foster a culture that values connection, learning, and fun!
• Free snacks (mostly healthy!)
• Coffee Thursdays to fuel creativity