Senior Marketing Sciences Analyst, Enterprise Accounts

Company description Welcome to Our World We’ve been leading the charge in the affiliate industry from day one—establishing performance marketing and paving the way for future innovations. We're known for maintaining one of the largest, most reliable partnership platforms with impeccable, personalized service. Founded in Santa Barbara, California in 1998, CJ (formerly Commission Junction) stands as the most trusted name in performance marketing. We specialize in building partnerships between top brands and reputable publishers to drive revenue and business growth. CJ’s industry-leading solutions make us the platform of choice for over 3,800 global brands across sectors like retail, travel, finance, technology, and home services. As part of Publicis Groupe, our savvy data capabilities, cutting-edge tech, and strategic expertise facilitate genuine connections, allowing brands to reach consumers wherever they are. A Quick Peek at Affiliate Marketing Think back to your last online purchase. Did an influencer tip you off about a great product and offer a discount? Or perhaps you relied on a trusted review site to make your decision? Whatever path you took, affiliate publishers likely played a role by influencing, informing, or helping you find the best deal. CJ connects brands with these publishers, creating valuable resources for shoppers like you. Overview In this client-facing Senior Marketing Sciences Analyst role at CJ, you will serve as a dedicated analytics and measurement partner to enterprise advertisers, leading advanced analytical initiatives that drive marketing performance, optimization, and business growth. You will play a critical role in onboarding new enterprise clients, developing scalable reporting and measurement solutions, and building trusted relationships with key stakeholders. As a senior member of the Data Science & Analytics team, you will combine hands-on technical expertise with strategic consulting to translate complex marketing challenges into actionable insights. You will lead initiatives across incrementality testing, marketing mix modeling (MMM), forecasting, and performance measurement while mentoring junior analysts and collaborating with cross-functional teams to deliver innovative solutions. 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. Qualifications 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. Ability to identify opportunities to improve analytical methodologies, streamline processes, and develop scalable solutions that improve efficiency and consistency across client engagements. Preferred qualifications Must have experience within AdTech, MarTech, or an advertising agency, particularly supporting enterprise advertisers in e-commerce, retail, travel, or financial services. Additional information This is a hybrid role