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Data & Tracking Specialist

Job Title: Data & Tracking Specialist

Location: Remote

Language: English

Working Days: Monday through Friday

Working Hours:

Eastern Standard Time (EST): 8:30 AM – 5:30 PM

About the Role:

We are seeking a highly analytical and technically fluent Data & Tracking Specialist who can bridge business performance with deep technical tracking expertise. This role is ideal for someone who understands ecommerce metrics at a granular level—from top-of-funnel acquisition through retention, subscription lifecycle, and LTV—and can confidently audit, validate, and optimize our entire tracking ecosystem. You will not just report on numbers; you will ensure their integrity, interpret their meaning, and translate store data into clear strategic insight.

Key Responsibilities:

1. Business & Funnel Performance Analysis

  • Conduct full-funnel analysis across acquisition, conversion, retention, and subscription lifecycle
  • Analyze channel performance across paid media, organic, email, and retention programs
  • Monitor and interpret ecommerce KPIs including CAC, MER, ROAS, AOV, CVR, LTV, churn, renewal rate, MRR, and contribution margin
  • Diagnose revenue shifts, conversion changes, and customer behavior trends
  • Provide actionable recommendations to improve profitability and store health

2. Ecommerce Platform & Store Health Intelligence

  • Evaluate overall business performance using store data
  • Identify revenue leaks, attribution gaps, or funnel inefficiencies
  • Create dashboards and reports that clearly communicate performance to leadership
  • Reconcile performance across Shopify, GA4, and attribution tools such as Triple Whale

3. Subscription & Retention Analytics

  • Analyze subscription lifecycle metrics including churn, retention curves, and cohort LTV
  • Support optimization of subscription flows and retention strategies
  • Integrate subscription data with overall ecommerce performance analysis

4. Email & Lifecycle Performance (Klaviyo)

  • Analyze campaign and flow performance within Klaviyo
  • Evaluate deliverability, segmentation, automation, and revenue attribution
  • Ensure data consistency between Shopify, Klaviyo, and tracking platforms

5. GA4, Attribution & Advanced Tracking Analysis

  • Expert-level understanding of GA4 structure, events, and ecommerce tracking
  • Analyze user behavior, pathing, attribution, and engagement metrics
  • Identify discrepancies between Shopify, GA4, and ad platforms
  • Work with attribution platforms (e.g., Triple Whale) to validate blended performance
  • Build custom reports and explorations in GA4 to uncover actionable insights

6. Technical Tracking & Tag Management

  • Manage and optimize Google Tag Manager implementations
  • Configure and validate web pixels and customer event tracking
  • Implement and audit tracking across GA4, Meta Pixel, TikTok Pixel, Google Ads, and server-side tracking
  • Ensure proper configuration and data flow across Shopify, GA4, Triple Whale, Recharge, and Klaviyo

7. Technical Tracking Audit (Critical Requirement)

  • Conduct comprehensive audits of Shopify tracking infrastructure
  • Review all tracking implementations across store and analytics platforms
  • Validate event firing, parameter accuracy, and ecommerce data structure
  • Identify tracking gaps, duplication issues, inflated numbers, or broken flows
  • Document findings and deliver clear remediation plans
  • Implement fixes or collaborate with developers to resolve technical issues

Qualifications:

  • 3+ years of experience in ecommerce analytics, preferably within Shopify environments
  • Deep understanding of ecommerce financial metrics and performance drivers
  • Hands-on expertise with Shopify analytics, GA4, GTM, web pixels, Recharge, Klaviyo, and attribution platforms
  • Strong SQL skills preferred
  • Experience conducting technical tracking audits
  • Highly detail-oriented with strong problem-solving skills
  • Ability to translate complex data into clear business insights

What Success Looks Like in This Role:

  • Leadership has complete confidence in the accuracy of store data
  • All tracking systems and attribution platforms are properly configured, documented, and validated
  • Business decisions are driven by clean, reliable analytics
  • Revenue growth opportunities are proactively identified
  • Attribution discrepancies are minimized and explained
  • Subscription and retention performance is continuously optimized

Who You Are:

You are both analytical and technical. You understand numbers deeply and can read the health of a business by looking at its full ecommerce data ecosystem, not just one platform. You are as comfortable debugging a broken pixel as you are presenting performance insights to leadership. You don’t just report data—you ensure its integrity, interpret its meaning, and use it to drive strategic growth.

Job Type: Full-time

Work Location: Remote

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