Manager, Data Strategy & Analytics

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. 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 Responsabilities: 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 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: Base Salary: $90,000.00 - $110,000.00 Target Annualized Discretionary Bonus: 5% ( $4,500.00 - $5,500.00) Target Total Cash: $94,500.00 - $115,500.00 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. Annual Work From Anywhere 4 weeks per year. Kepler is a people first organization. If this roles piques your interest but you may not check every box, we still encourage you to apply! Studies show that imposter syndrome can prevent women and people of color from applying unless they meet every single qualification. We welcome all who are interested to apply, you just might be a great candidate for this role or others. Protect yourself from recruitment fraud. The only way to apply for a position at Kepler is by submitting a direct application via the Keplergrp.com website or working with a recruiter employed by Kepler with a @ keplergrp.com email address. Learn how to stay safe by clicking here

{
  "content_hash": "ad8ed4e8c7c5fc0451096942e15e720898da9c6767ba09068ca9e6cd277a9ae2",
  "source_hash": "d4b28ca1fb5630ce03f5873290b1b7e8dfba141e9d9093cf5b3e45a98b099b03",
  "last_changed_at": "2026-06-04T11:16:45.166Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "New York",
    "city": "New York",
    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": 110000,
  "salary_min": 90000,
  "inferred_at": "2026-06-06T07:35:24.923Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "New York",
      "city": "New York",
      "region": "NY",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}

{}

{
  "title": "Manager, Data Strategy & Analytics",
  "offices": [
    {
      "id": 5155,
      "name": "New York",
      "location": "New York, NY, United States",
      "child_ids": [],
      "parent_id": null
    },
    {
      "id": 5156,
      "name": "Philadelphia",
      "location": "Philadelphia, PA, United States",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "New York"
  },
  "metadata": [],
  "updated_at": "2026-06-03T19:12:03-04:00",
  "departments": [
    {
      "id": 16103,
      "name": "Data Strategy & Analytics",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "Kepler Group",
  "requisition_id": 3458574,
  "first_published": "2026-05-29T12:16:54-04:00",
  "application_deadline": null
}