Manager, Data Strategy & Analytics
kepler
| Company | kepler |
| Category | Data & Analytics |
| Location | Philadelphia |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 29 May 2026 |
| Last verified | 1 Aug 2026 |
| Source | Employer career page (greenhouse) |
Description
Kepler executes engineered marketing, where every message and ad delivered helps create a more personalized and productive relationship between brands and their consumers. We do this by acting as clients’ agency of record, as their in-house team, or some hybrid of the two – and by harnessing data and technology across all paid digital media and data-driven CRM channels.
Kepler prides itself on being a great place to work. In fact, we’re proud to share that AdAge recognized Kepler among the Best Places to Work in 2022, and Digiday named Kepler the Most Innovative Media Agency in 2025, validating our investment in our team and our clients.
We're transparent with our employees. You'll hear updates on company financials, how we're performing against bonus goals, and how we're responding to challenges we face.
We're growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company.
We're fun. You'll work with and learn from the smartest people in the industry and have a blast doing it.
The Role:
Kepler is seeking a growth-oriented and data-driven Manager of Data Strategy & Analytics for Retail to support our initiatives across a portfolio of Retail marketing clients. This role requires a leader with a deep understanding of the paid media ecosystem, exceptional data acumen, and the ability to translate complex analytics and insights into strategic opportunities. You’ll have opportunities to build knowledge and expertise in specific solutions across analytics, measurement, and advertising technology, as well as opportunities to teach and mentor analysts and peers.
The position requires strong quantitative and communication skills, business acumen to understand and advance client marketing strategy, a technical mind to operate and leverage the latest adtech platforms, and a desire to be part of a tightly-knit team that’s out to change the industry.
Key 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.
Desired Skills and Experience:
2-4+ years of experience in Retail-oriented paid media/marketing analytics, working with data from Retail Media Networ
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