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Kepler Group

Data-driven marketing consulting with Kip technology

Manager – Data Strategy & Analytics - Retail

Data ScienceConfirmed live in the last 24 hours
Full-timePhiladelphia, PA, USA$90k - $110kIn-person

About the Job

Requirements

  • 2–4+ years of experience in retail-oriented paid media or marketing analytics, working with data from Retail Media Networks including Amazon Advertising, Walmart Connect, and Target Roundel.
  • 3–5+ years of experience working with data for major digital media platforms such as Google Marketing Platform, Meta, and LinkedIn, across Search, Display, Social, Video, and Email.
  • Proficiency in retail measurement and developing insights from marketing and product data.
  • Hands-on experience using data clean rooms for measurement and insights around customer and media efficiency.
  • Proven success communicating complex insights and analytics to clients and establishing direct relationships with client stakeholders.
  • Experience with advanced analytics and modeling, including forecasting and marketing mix modeling, and designing and executing media tests such as A/B, audience incrementality, and matched market tests.
  • Comfort with modern marketing data infrastructure, including ETL tools, data storage, and querying solutions, and understanding downstream impacts on analytics and insights.
  • Familiarity with adtech's influence on targeting and measurement and its applications for retail marketers.
  • Experience managing a team of two or more direct reports.
  • Strong listening, written, and verbal communication skills.
  • Effective time management, including the ability to prioritize and meet deadlines.

Responsibilities

  • Partner with clients and cross-functional internal teams to develop an actionable, data-driven narrative grounded in client business realities and brand objectives.
  • Support the DS&A leader and work with peers across departments to contribute to each client's Retail-focused measurement roadmap.
  • Design and execute tests to quantify marketing campaign impact, leveraging advanced statistical techniques and platform technologies such as A/B testing, Brand and Conversion Lift Tests, and Geo Experimentation.
  • Develop, manage, and execute custom analyses to uncover insights supporting media optimizations and strategic client recommendations, including Lifetime Value and Propensity Modeling, Creative Fatigue, and Product-Level Modeling, often in clean room environments.
  • Advance client-specific measurement programs and create solutions that can be applied across clients.
  • Collaborate with the team to transform complex analytics findings into client-ready narratives.
  • Own the full data technology stack for client teams, ensuring accurate data feeds into automated Kepler tools, the visualization platform, and analytics workstreams.
  • Present account learnings to the DS&A department and provide feedback on department tools and Kepler's internal technology platform, Kip.
  • Develop expertise in clients' technology stacks and how retail data assets fit together across platforms and support targeting and measurement.
  • Manage one or more Analysts or Senior Analysts and contribute to Kepler culture.

Desired Qualifications

  • Amazon Marketing Cloud experience is preferred; transferable experience with similar platforms such as LiveRamp will be considered.
  • Interest in learning new technologies and building solutions with Kepler tools, cross-team collaboration, and AI support.

About the Company

Kepler Group

Data-driven marketing consulting with Kip technology

Kepler Group helps global brands improve their marketing using a mix of data analytics and human creativity. It analyzes data to uncover insights about audiences and how they respond to campaigns, then turns those insights into tailored marketing strategies and creative executions. The Kip technology system is used to convert complex data into usable recommendations and actions for campaigns. Revenue comes from consulting fees, licensing its technology, and performance-based incentives tied to results. The company differentiates itself by combining deep data science with creative execution and by offering integrated solutions across strategy, technology, and creative work. Its goal is to demystify the digital marketing landscape for brands and drive measurable, data-driven results.”}$

Company size
501-1,000
Company stage
Acquired
Total funding
Not listed
Headquarters
New York City, New York
Founded
2012

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