Senior Marketing Sciences Analyst, Enterprise Accounts

Responsibilities

• Serve as a primary analytics and measurement partner for enterprise clients, developing strong relationships, understanding business objectives, and providing strategic recommendations that drive performance and growth.
• Lead the analytical onboarding of new enterprise advertisers, establishing data integrations, reporting infrastructure, measurement frameworks, and analytical capabilities to support long-term client success.
• Own end-to-end advanced analytics and marketing science initiatives, including project scoping, data exploration, statistical modeling, validation, and presentation of actionable insights.
• Design and execute advanced measurement methodologies, including incrementality testing, lift studies, marketing mix modeling (MMM), and elasticity analysis to evaluate marketing effectiveness and optimize investment.
• Develop and implement statistical and predictive models, including forecasting, regression analysis, and performance optimization, to support strategic business decisions.
• Analyze large-scale e-commerce and advertising datasets to identify performance trends, competitive dynamics, growth opportunities, and opportunities to improve marketing efficiency.
• Develop scalable reporting solutions, dashboards, and analytical workflows that provide clients with accurate, actionable performance insights.
• Present complex analytical findings, measurement strategies, and recommendations to client stakeholders and internal leadership, translating technical concepts into clear business outcomes.
• Provide technical mentorship and guidance to junior analysts, supporting analytical development, technical best practices, and quality of client deliverables.

Requirements

• 5+ years of experience in Marketing Science, Data Science, Marketing Analytics, or a related analytical discipline, with strong hands-on statistical modeling and analytical experience.
• Strong proficiency in SQL and Python, PySpark, or Scala, with experience working with large datasets and developing production-ready analytical solutions.
• Demonstrated experience with marketing measurement methodologies, including incrementality testing, experimental design, lift studies, and marketing mix modeling (MMM).
• Experience developing and applying statistical and predictive models, including regression analysis, forecasting, and optimization techniques.
• Experience working directly with enterprise clients or complex marketing organizations, translating business requirements into analytical solutions and strategic recommendations.
• Strong understanding of digital advertising and performance marketing, including attribution, customer journeys, conversion measurement, and marketing investment optimization.
• Experience with modern data platforms such as Databricks and business intelligence tools such as Tableau.
• Proven ability to independently manage complex analytical projects, identify opportunities for improvement, develop solutions to ambiguous business challenges, and prioritize competing business needs while delivering high-quality results.
• Strong communication, presentation, and relationship management skills, with the ability to engage both technical and non-technical stakeholders.
• Experience mentoring or providing technical guidance to other analysts or data scientists.

Preferred

• Must have experience within AdTech, MarTech, or an advertising agency, particularly supporting enterprise advertisers in e-commerce, retail, travel, or financial services.

Benefits

• Flexible time off without the hassle of accrual
• A generous number of paid holidays
• Company-sponsored team-building events
• An Employee Referral Program
• Annual recognition awards
• Hybrid work arrangements for optimal work-life balance
• Parental bonding leave
• Backup care options for children and elders
• An employee discount program
• International SOS program for global support