Remote job / Direct hire / Full-time
Department: IT
Reports To: E-Commerce Product Manager
SUMMARY
We're hiring a Senior Digital Analyst to own measurement and decision-support across our digital business. You'll be the person our team relies on when conversions move unexpectedly, when we need to determine whether a site change actually worked, or when we need to hold a marketing channel accountable for real outcomes. This is not a data engineering role - it's an ownership role. You're responsible for the accuracy and trustworthiness of our analytics data, the dashboards and narratives that surface leadership insights, and the cross-functional relationships that turn data into action.
ESSENTIAL DUTIES AND RESPONSIBILITIES include, but are not limited to, the following:
- Decision Support and Insights
- Build and maintain core e-commerce KPI dashboards: conversion rate, revenue per visit, AOV, funnel drop-off rates, site search performance, and campaign rollups.
- Produce a weekly performance narrative - a concise written summary with recommended actions, not just charts - distributed to the VP of Digital Product and key stakeholders.
- Analyze site changes, A/B test results, and UX experiments; advise on metric selection and hypothesis framing before tests launch, then own the readout.
- Partner with Marketing to define campaign success metrics upfront and deliver post-campaign analysis tied to business outcomes, not vanity metrics.
- Provide seasonal and competitive context that frames performance data in a broader story. Anomaly Detection and Data Quality
- Design and maintain monitoring alerts for traffic, conversion, and revenue anomalies - define the thresholds, own the system.
- Develop a repeatable root-cause playbook to distinguish between tracking failures, behavioral shifts, marketing mix changes, and inventory, pricing, or promo effects.
- Investigate unexpected patterns proactively; don't wait for a stakeholder to notice something is wrong.
- Flag and escalate tagging or data integrity issues to Engineering with enough context to act on immediately.
Measurement & Instrumentation
- Conduct regular audits of the GA4 implementation: event taxonomy, conversion configurations, data layer values - identify what's misfiring, missing, or inconsistent.
- Translate audit findings into developer-ready specs: document exactly what's broken, what correct behavior looks like, and what Engineering needs to fix at the application level.
- Run a tagging QA checklist after every significant Engineering release to catch regressions before they corrupt reporting data.
- Validate conversion tracking accuracy after site updates; communicate urgency and prioritize fixes by reporting impact.
- Where GTM access is granted, execute straightforward implementation changes directly - tag updates, trigger adjustments, GA4 event configurations. Escalate data layer changes to Engineering with a written spec. Dashboard & Reporting
- Own Tableau as the primary reporting layer for the business; build dashboards that executives and stakeholders can use independently, not just analysts.
- Use SQL for ad-hoc analysis, data validation, and enriching analytics data - joins, aggregations, and filtering, not pipeline engineering.
- Establish and document KPI definitions to maintain a single source of truth across Product, Marketing, and Leadership.
- Deliver insights in plain language with clear recommendations; raw data tables without narrative are not a deliverable.
SKILLS AND QUALIFICATIONS
Qualifications
- Graduate with a bachelor's degree in Data Analytics, Statistics, Business Analytics, Information Systems, Marketing Analytics, or any related field. Expert-level proficiency in Google Analytics 4: event-based data model, custom explorations, segments, conversion configuration, and implementation quality assessment.
- Proficient in SQL for data validation, ad-hoc analysis, and cross-source data joining - aggregations, filters, joins, CTEs.
- Hands-on Tableau experience building executive-ready dashboards.
- Demonstrated ability to conduct e-commerce funnel analysis, multi-channel performance analysis, and structured root-cause investigation.
- Self-directed with a clear point of view about how data should inform decisions; comfortable pushing back when the data doesn't support a conclusion.
Experience and Certifications
- Minimum 5 years of experience in digital analytics, web analytics, or marketing analytics; e commerce or direct-to-consumer experience is strongly preferred.
- Ecommerce or Marketing certifications are a plus. Technical or specific skills (e.g. technical, computer)
- Strong written and verbal communication skills; able to translate analysis into executive-ready recommendations without leaning on jargon or raw output.
- Able to write clear, developer-ready measurement requirements and QA analytics instrumentation against a data layer spec - you don't need to write JavaScript, but you need to know what correct tracking looks like and document the gap precisely.
Nice to Have
Hands-on Google Tag Manager experience: building and modifying tags, triggers, and custom variables; using GTM Preview and GA4 DebugView to validate events; executing GA4 configuration changes in GTM independently without developer involvement.
Familiarity with GA4's BigQuery export for analysis outside the standard GA4 interface.
Experience supporting or analyzing A/B tests and UX experiments: defining metrics, sizing samples, interpreting results, and presenting findings to non-technical stakeholders.
Adobe Analytics experience as a secondary platform.
Exposure to attribution modeling concepts and their practical limitations in a direct e-commerce context.
Experience with site search analytics and on-site merchandising performance measurement.
