Senior Manager, eCommerce Analytics

Hoxton Circle; United States; Remote; USD 150,000 - 175,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Tuition assistance

Disability insurance

Job summary

An established eCommerce company is hiring a fully remote Senior Manager of eCommerce Analytics. In this leadership role, you will manage a team, optimize website performance, and analyze customer journeys. You must have over 5 years of analytics experience, especially in eCommerce. The position offers a base salary between $150k and $175k, along with a cash bonus and competitive benefits.

Qualifications

• 5+ years of experience in ecommerce analytics, marketing analytics, product analytics, or similar.
• Strong proficiency in GA4, GTM, server‑side tagging, and ecommerce tracking best practices.
• Deep understanding of attribution models, hypothesis testing, and test-control design.

Responsibilities

• Optimize website design and flow based on performance metrics.
• Create experimentation frameworks for A/B testing.
• Track customer conversion metrics for optimization.

Skills

eCommerce analytics

Marketing analytics

SQL

Tableau

GA4

GTM

Tools

Snowflake

Python

R

Job description

Position Summary

Fully Remote - eCommerce Analytics Leadership Role

I'm working on a fully remote Senior Manager, eCommerce Analytics at an established but growing eCommerce brand (part of a public company that's a household name). This is a leadership role, managing a team with daily exposure to the c‑suite.

The opportunity is unique because the company is the perfect size - it's small enough to actually make an impact and catch significant upside, but big enough to have resources, a strong tech stack, and established infrastructure (it's around $500m in annual revenue and 475 employees).

You’ll sit at the intersection of analytics, marketing, and merchandising, and build measurement frameworks, optimize website design, and analyze performance across the customer journey, turning complex website and marketing data into clear & actionable recommendations.

By bringing deep e‑commerce experience and an experimentation‑driven mindset, you will create models, tools, and dashboards that transform marketing campaigns and customer experiences. You will be equally at home designing page‑tagging methodologies and creating marketing‑attribution approaches — and you will collaborate with merchandisers, pricing modelers, and marketing experts to drive top and bottom line growth.

More about the role

• Website Optimization: Quantify how well our page‑structures and site‑layouts are performing, and identify clear routes for improving website design and flow
• A/B Testing: Create experimentation frameworks and deploy test-and-control methodologies to find the right product positioning, website‑copy, and cross‑item flows
• Marketing Analytics: Understand the customer conversation funnel from beginning to end, tracking CAC / LTV / Conversion / Retention for our shoppers
• Clustering and Segmentation: Create quantitative segments for our Consumers and our Products, enabling better targeting, stronger merchandising organization, and more efficient marketing
• Dashboarding & Reporting: Design a new generation of dashboards and tools, bringing transparency to ecommerce performance dynamics across the full customer journey
• Financialization: Transform simple metrics like clicks, views, and visits into financially interpretable size‑of‑price metrics, allowing the business to optimize ecommerce strategy day in and day out
• Insights: Fulfill ad‑hoc research and analytic requests across a wide variety of domain spaces and present core insights to stakeholders and business leaders

Must haves

• 5+ years of experience in ecommerce analytics, marketing analytics, product analytics, or similar at a Direct to Consumer Brand
• Strong proficiency in GA4, GTM, server‑side tagging, and ecommerce tracking best‑practices
• Strong proficiency in both SQL and Tableau
• Deep understanding of attribution models and approaches, with a strong foundation in hypothesis testing and test‑control design
• Excellent relationship management, communication, and data‑presentation skills, including a strong eye for the creation of compelling visual narratives
• The ability to take initiative, act independently, and function under ambiguity

Helpful, but not required

• Experience with Snowflake and associated tools
• Exposure to CDP platforms, marketing automation tools, and the Amperity ecosystem
• Hands‑on data‑scientific modeling experience in R or Python for advanced analytics
• Experience building or managing data pipelines with engineering partners
• Understanding of Marketing Mix Modeling, incrementality quantification, and similar paradigms
• Experience in UI/UX design and optimization

Compensation

• $150k–$175k base salary + cash bonus + competitive benefits
• Flexible for the perfect candidate

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Marketing and Information Technology

Industries

Online and Mail Order Retail and Retail

Benefits

• Medical insurance
• Vision insurance
• 401(k)
• Paid maternity leave
• Paid paternity leave
• Tuition assistance
• Disability insurance