Exemplis LLC

Manager, Customer Analytics

Exemplis LLC

full-time

Posted on:

Location Type: Hybrid

Location: Cypress • California • 🇺🇸 United States

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Salary

💰 $126,547 - $196,148 per year

Job Level

Mid-LevelSenior

Tech Stack

CloudPythonSQL

About the role

  • Own the customer‑data roadmap and future centralized warehouse: set ingestion priorities, define schemas, and enforce data‑quality SLAs.
  • Oversee, QA, and evolve marketing‑performance dashboards covering CAC, ROAS, LTV, cohort curves, and contribution margin.
  • Lead design and analysis of lift tests and incrementality studies, translating findings into channel‑budget and offer recommendations.
  • Build and iterate multi‑touch or geo‑based attribution models that balance statistical rigor with business usability.
  • Partner with the Performance Marketing Manager to set measurement plans for new channels, audiences, and creative tests.
  • Collaborate with the Lifecycle Marketing Manager on segmentation, churn prediction, and personalized‑offer scoring.
  • Manage and mentor one Data Analyst; establish priorities, QA processes, and professional‑development plans.
  • Present monthly insight read‑outs and opportunity backlogs to senior leadership.
  • Evaluate and implement new analytics & tools that improve data capabilities.

Requirements

  • 5+ years of marketing or customer‑analytics experience in DTC or ecommerce.
  • Deep understanding of advanced marketing-measurement frameworks (MMM, geo-incrementality, cross-channel attribution) and proven ability to apply them.
  • Advanced proficiency in SQL and BI tools and data‑modeling for cloud warehouses.
  • Proficiency in Python, R, or similar modeling languages for statistical analysis, forecasting, and machine-learning pipelines.
  • Proven track record building attribution models and cohort‑based LTV analyses.
  • Experience designing A/B or geo‑lift tests and communicating out results.
  • Expectation of being in office 2-3 days a week along with core members of team.
  • Preferred: Familiarity with Shopify, GA4, and Klaviyo data structures or comparable stacks.
  • Preferred: Hands-on experience building data pipelines into a centralized warehouse or CDP.
  • Preferred: Understanding of contribution‑margin and order‑economics frameworks.
  • Preferred: Comfort applying AI/ML techniques to solve marketing problems.
Benefits
  • Competitive Salary: Our compensation philosophy is to be externally competitive, internally fair, and not win or lose on compensation. Salary ranges are developed with the support of national benchmarks and industry best practices that adjusts to your cost of labor, years of relevant experience, skill set, and education.
  • Hybrid Work Schedule: We support employee needs and their work/life balance so we offer the flexibility to work remotely while being onsite as needed for “collaboration days.”
  • Health Insurance: We offer a variety of health insurance options (medical, dental, vision, etc.) for all of our team members. Eligible the first month following your start date.
  • 401(k): We match 100% up to 3% and then 50% of the next 2% deferred.
  • Time Off: Paid time off starts accruing day 1.
  • Observed Holidays: 10 company observed holidays (New Years, Martin Luther King, President’s Day, Good Friday, Memorial Day, Independence Day, Labor Day, Thanksgiving, Day after Thanksgiving, Christmas Day).
  • Employee Discounts: We offer discounts to our employee across all of our product lines.
  • Hit our Numbers Lunch: When we hit our monthly milestones, we all celebrate!
  • Tuition Scholarships: Partnership with UMASS Global for 10%-20% off tuition for you and/or your family.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonRdata modelingattribution modelscohort-based LTV analysisA/B testinggeo-lift testsmachine learningstatistical analysis
Soft skills
leadershipmentoringcommunicationcollaborationdata quality assurancepresentation skillsanalytical thinkingproblem-solvingprioritizationprofessional development
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