Marketing Analytics Manager

Paleovalley is a company dedicated to providing real food that can heal people, animals, and the planet. As a Marketing Analytics Manager, you will analyze marketing data to support decision-making and improve customer engagement and retention, while collaborating with various teams to enhance performance.

Responsibilities:

• Analyze marketing, acquisition, and lifecycle performance data, including repurchase rates, customer retention, funnel drop-offs, and LTV trends
• Build, maintain, and optimize Mixpanel dashboards, funnels, and behavioral reports
• Diagnose and resolve tracking issues across pixels, scripts, UTMs, events, and server-side integrations (Meta CAPI, TikTok Events API, Mixpanel server-side)
• Develop unified reporting and dashboards that combine data from Shopify, Mixpanel, GA4, Klaviyo, MySQL, and ad platforms
• Identify insights that drive improvements in ROAS, retention, acquisition efficiency, and customer experience
• Partner with paid media, email, demand and supply planners, and product teams to refine KPIs, improve tracking, and establish clean data flows
• Conduct regular data quality checks and maintain processes that ensure accuracy, consistency, and reliable attribution
• Translate complex analytical findings into simple, actionable insights for stakeholders across the company

Requirements:

• Bachelor's degree in statistics, mathematics, computer science, data analytics, or equivalent hands-on experience
• 5+ years of marketing analytics experience
• Minimum 3 years within e-commerce or subscription-based DTC
• 2 years of hands-on Mixpanel, Pendo or Amplitude experience (funnels, dashboards, behavioral analysis)
• Strong proficiency in SQL and MySQL, including building and troubleshooting queries and workflows
• Strong skills with GA4, Google Tag Manager, and server-side tracking (Meta CAPI, TikTok Events API)
• Understanding of pixels, scripts, event tracking, UTMs, and platform integrations
• Experience with email marketing systems such as Klaviyo (preferred) or Mailchimp
• Ability to turn complex data into simple, actionable recommendations for non-technical teams
• Proactive, autonomous working style with strong communication skills
• Analytical rigor with experience in customer segmentation, retention analytics, and LTV modeling
• Experience in CPG, supplements, wellness, or organic/healthy consumer brands
• Advanced Klaviyo experience (segmentation, attribution troubleshooting, deliverability)
• Subscription-model analysis (cohorts, churn, LTV forecasting)
• Experience supporting high-volume paid acquisition environments
• Familiarity with Monday.com, Microsoft, Elevar, and AppLovin' are a big bonus
• Familiarity with Connected TV (CTV) advertising and performance measurement, including understanding of attribution, incrementality, and cross-channel impact
• Hands-on experience with Google BigQuery, including querying large datasets using SQL and supporting marketing performance reporting/attribution