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Retail Analytics Program Lead

Job in Warren, Macomb County, Michigan, 48091, USA
Listing for: Talascend
Full Time position
Listed on 2026-02-21
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Security
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Talascend is currently seeking a Retail Analytics Program Lead for an opportunity in Warren, MI

The Retail Analytics Program Lead will play a critical role in managing DDS digital program initiatives and analytics capabilities. This individual will act as the primary liaison with our analytics agency partner and other vendor relationships, providing oversight for product analytics, data integrity, dashboard platform performance, and other analytics-related initiatives.

RESPONSIBILITIES
  • Serve as the business owner for DDS relationship with the analytics agency partner.
  • Develop and maintain project roadmaps, manage enhancement requests, and determine feature prioritization based on business impact and technical feasibility.
  • Lead requirements gathering efforts and project plans across cross-functional teams to inform development roadmaps and prioritize initiatives.
  • Conduct Privacy Impact Assessments and support data categorization and flow mapping to ensure compliance with privacy and data governance standards.
  • Partner with Product Managers to define success metrics, MVP criteria, and timelines for integrating new features into DDS Analytics dashboard.
  • Mine for insights to make recommendations on how dashboard data can be supplemental to dealer consulting opportunities, including RDPM/DDPM training and DSI overviews.
  • Facilitate the execution of pilot programs and feedback workshops for product enhancements.
  • Oversee the implementation, usage and ongoing optimization of the T3 Retail Customer Data Platform (CDP), DDS Analytics Dashboard, Website Scraper, and other analytics-program tools as they are made available.
  • Evaluate product performance to recommend and implement ongoing improvements.
  • Track and report on project milestones, scopes, risks, and resource allocations.
  • Present business updates and performance trends to internal and external stakeholders.
  • Collaborate with the Operations Manager, analytics agency, and vendors to oversee tag implementation, troubleshoot tracking issues, and ensure alignment across providers and campaigns.
  • Partner with Operations Manager for DPE support tasks, ad-hoc audits, process documentation, and other tasks as needed.
  • Maintain DDS reporting inbox (i.e. recurring reports, rules).
  • Develop and maintain process for DDS vendor contact information to support distribution lists, including those for DPE.
  • Develop and maintain process for distribution lists related to cadenced reports.
  • Initiate and own workflows that support program-wide analytics needs (i.e:
    Spend details for audits, vendor-related integrations or data sets that are ingested to support DDS program analytics, etc.).
QUALIFICATIONS
  • Bachelor's degree in Marketing, Advertising, Business, or a related field.
  • 4+ years of experience in digital product management or a similar role.
  • Strong project management, communication, and organizational skills.
  • Experience with a variety of the following automotive retail tools/platforms:
    Call Tracking, Vehicle Merchandising, Reputation Management, Chat Tools, Trade-In Tools, and/or Digital Retailing tools.
  • Experience with the dealer-vendor ecosystem (e.g. , Dealer Inspire, Marchex, Gubagoo, , Edmunds, Impel, Shift Digital, or similar).
  • Strong grasp of all paid digital advertising channels and tactics (SEM/Display/Social/Video/CTV/etc.). Familiarity with CDPs, digital media analytics, and audience curation is a plus.
  • Proficiency in Microsoft Office Suite, particularly Excel (pivot tables, v-lookups) and PowerPoint.
  • Comfortable managing and interpreting complex datasets and dashboards.
  • Excellent analytical and problem-solving skills with a strong attention to detail.
  • Experience with data management processes, data ownership categorization, and onboarding processes is a plus.
  • Experience with less structured teams, independent work, and fluctuating priorities.

Retail Analytics Program Lead
• Warren, Michigan, US

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