Director, Data Strategy & Analytics, Retail

Responsibilities

• Be the senior analytics and data leader for a portfolio of Retail brands, requiring hands-on client management, and exceptional communication and prioritizations skills.
• Build and maintain day-to-day relationships with senior client stakeholders across marketing and analytics teams, and act as a point of escalation on all data and analytics matters.
• Partner with internal and external stakeholders to determine business goals and analytics opportunities, developing comprehensive Retail-focused measurement strategies.
• Utilize your natural curiosity and drive to innovate to advance client-specific measurement programs and create new solutions to apply across clients.
• Translate complex analytics and data into clear, cohesive insights for senior clients, and guide your team on how to do the same.
• Guide the evolution of Kepler’s internal technology platform, Kip, establishing a feedback loop of client needs and applied learnings from new tools that set the development roadmap for our engineering team.
• Inspire, coach, and mentor staff across multiple disciplines, and shape Kepler culture through your leadership.
• Be the trusted expert internally. Leverage your experience and knowledge to shape the department’s approach to Retail analytics and assist Kepler in driving new business growth in pitches and RFPs.

Requirements

• 6-8 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).
• Experience managing and building client relationships, highlighting the role of data strategy and analytics by developing and delivering strategic solutions for clients.
• Proven success at translating complex insights and analytics into materials for executive-level audiences.
• Advanced proficiency in retail measurement, with 4-6+ years of experience working with data from Retail Media Networks, including Amazon Advertising, Walmart Connect, and Target Roundel to gain product and customer insights that drive program-level strategy.
• 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.
• Experience with advanced analytics and modeling (e.g. forecasting, marketing mix modeling, LTV), and the design and execution of media tests including audience and geo-based incrementality experimentation.
• Comfort with full stack of modern marketing data infrastructure (ETL tools, data storage and querying solutions), understanding the data’s downstream impact on analytics and insights.
• Demonstrated understanding of adtech’s influence on targeting and measurement, with a specific focus on the use of CDPs and online-to-offline solutions
• Appetite for learning new technologies and leveraging AI daily to drive efficiency and innovation.
• Expertise in using data and modeling to shape audience segments and predict LTV.

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