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Partner with clients and cross-functional internal teams to develop an actionable, data-driven narrative for your clients, grounded in client business reality and brand objectives. - Support your DS&A leader and work with peers cross-department to contribute to each client’s Retail-focused measurement roadmap. - Design and execute tests to quantify the impact of marketing campaigns, leveraging advanced statistical techniques, and working with platform partners to fully utilize available technologies (A/B Testing, Brand and Conversion Lift Tests, Geo Experimentation, etc.). - Develop, manage, and execute against, a queue of custom analyses to uncover insights that support media optimizations and offer strategic recommendations to clients (Lifetime Value & Propensity Modeling, Creative Fatigue, Product-Level Modeling); these will often be developed in clean rooms environments
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Utilize your natural curiosity to advance client-specific measurement programs and create new solutions to apply across clients. - Collaborate with your team to transform complex analytics findings into client-ready narratives. - Own the full data tech stack for your client teams, ensuring accurate data feeds into automated Kepler tools, our visualization platform, and your own analytics workstreams. - Grow the collective knowledge of the DS&A department, presenting learnings from your accounts to rest of the team and providing feedback on department tools and Kepler’s internal technology platform, Kip. - Become an expert on your clients’ tech stacks and how retail data assets fit together across platforms, and are leveraged for targeting and measurement. - Have the opportunity to manage 1 or more Analyst/Senior Analyst, and contribute to overall Kepler culture. Desired Skills and Experience:
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2-4+ years of experience in Retail-oriented paid media/marketing analytics, working with data from Retail Media Networks, including Amazon Advertising, Walmart Connect, and Target Roundel. - 3-5+ years of experience of working with data for major digital media platforms (e.g. Google Marketing Platform, Meta, LinkedIn, etc.) across a variety of digital channels (Search, Display, Social, Video, and Email). - Proficiency in retail measurement, developing insights from a mix of marketing and product data. - Hands-on experience using data clean rooms for measurement and insights around customer and media efficiency; Amazon Marketing Cloud experience is preferred, but transferable experience with similar platforms, like LiveRamp, will be considered. - Proven success at communicating complex insights and analytics with clients, and establishing direct relationships with client stakeholders. - Experience with advanced analytics and modeling (e.g. forecasting, marketing mix modeling), and the design and execution of media tests (A/B, audience incrementality, matched market). - Comfort with modern marketing data infrastructure (ETL tools, data storage and querying solutions), understanding the data’s downstream impact on analytics and insights. - Familiarity of adtech’s influence on targeting and measurement, and specific applications for Retail marketers. - Appetite for learning new technologies and interest in building solutions with Kepler tools, cross-team collaboration, and AI support. - Experience managing a team of 2+ direct reports. - Excellent listening, written and verbal communication skills. - Effective time management skills – ability to prioritize and meet deadlines. Transparency is fundamental to Kepler’s culture. Our compensation strategy is designed to attract, reward, and retain the talented employees that drive Kepler’s growth and success. We aim to offer competitive direct compensation and a rich indirect compensation program that demonstrates the value we place on our employees and their wellbeing. Total Compensation:
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Base Salary: $90,000.00 - $110,000.00
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Target Annualized Discretionary Bonus: 5% ($4,500.00 - $5,500.00)
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Target Total Cash: $94,500.00 - $115,500.00
