Responsibilities

• 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
• 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.

Requirements

• 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.

Benefits

• Healthcare/Dental/Vision.
• Unlimited PTO.
• 401k Contributions.
• $75/mo Wellness Stipend.
• $100/mo Mobile Phone Stipend.
• $50/mo Internet Stipend.
• $500/yr Annual Learning Stipend.
• $2,000/yr Annual Tuition Stipend.
• One-time $200 New Hire Home Office Equipment Stipend.
• Parental Leave - 16 week primary caregiver / 6 week secondary caregiver leave.