April 14, 2026

Sr Mgr of Marketing and Media Analytics

Love's Travel Stops & Country Stores Oklahoma City, Oklahoma

This role functions as the analytical engine behind how Love’s evaluates customer engagement, marketing effectiveness across channels, and advice both the impact and return from the retail media network with our participating partners. Own, define, and evolve a holistic marketing measurement framework across channels (paid media, CRM, digital, out-of-home and brand channels)Lead campaign performance analysis including reach, engagement, conversion, efficiency, ROAS, and incremental impactLead the evolution of attribution, incrementality and marketing mix modeling (MMM) to ensure insights directly inform investment decisions and align with strategic prioritiesPartner with Loyalty team to integrate loyalty program metrics into marketing measurement frameworks, ensuring attribution models capture the full customer journey from casual acquisition through loyalty enrollment and engagementLead the development of a multi-year measurement roadmap that identifies gaps in current capabilities, prioritizes new measurement approaches, and informs/guides investment in analytics infrastructureDevelop measurement plan that quantifies media's impact on loyalty program sign-ups, active membership, and guides future investment prioritizationOversee experimentation and A/B testing to support continuous optimizationContinually refine the marketing analytics strategy to align with evolving business priorities, establishing frameworks for analyzing performance and identifying growth opportunities Establish and maintain standards for tagging, tracking, attribution logic, and measurement consistencyPartner with analytics engineers (or IT/data teams) to improve data pipelines, modeling, and automationDevelop and own comprehensive marketing KPIs and measurement roadmap, including defining metrics, establishing naming conventions, and setting measurement standards that evolve with business prioritiesDefine requirements for cross-source data integration and partner with analytics engineering and IT teams to ensure seamless connectivity between marketing platforms, CRM systems, retail media data, and enterprise systems Ensure marketing data architecture decisions align with measurement needs Act as the primary analytics advisor to the CMO and organization’s expert on media analytics and marketing effectivenessWork cross-functionally with broader Marketing team, Merchandising, CX/Product, IT/Data, Finance, and external agenciesBuild and scale a high-performing marketing analytics organization, defining roles, career paths, and operating norms that attract and retain top analytical talentLead a team of marketing analysts, seen as a trusted strategic partner, known for proactive insights and create thought leadership, not simply a reporting functionFoster a culture of analytical rigor, experimentation, curiosity, and continuous improvementCollaborate cross-functionally with Marketing, Merchandising, CX/Product, Finance, IT/Data, and external agencies to drive adoption of insights Bachelor’s degree in Data Science, Business, Economics, Statistics, Engineering, or related field (Master’s preferred)Extensive experience leading marketing or business analytics in complex, data-rich environments, with demonstrated impact on growth and investment decisions, with 5+ years in a managerial or team lead role6+ years applying advanced or marketing analytics to business decision-making; MMM experience preferred5+ years working with performance media data; retail media experience strongly preferredExperience with retail media networks, clean rooms, CDPs, or loyalty dataStrong experience with attribution, incrementality, experimentation, and large-scale datasetsProficiency with SQL and BI tools (Tableau, PowerBI, Sigma); familiarity with GA4 and major ad platformsProven ability to communicate complex findings clearly to senior, non-technical stakeholdersAbility to work in a fast-paced environment and manage multiple projects and stakeholders at oncePreferred

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