DTC Growth Data Analyst for U.S. DTC E-commerce Brand

OVERVIEW

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About Our Clients

We are looking for someone who has directly worked on a DTC brand, owning or influencing CAC, LTV, paid channels, and conversion funnel performance.

If your experience is mainly in BI, data infrastructure, consulting, marketplace, or B2B analytics, this role is not a fit.

Job Description

Our client is a growing direct-to-consumer e-commerce brand focused on delivering high-quality products and strong customer experiences. As the business scales, they are looking for a hands-on Growth & Marketing Analytics professional to support data-driven decision making across acquisition, conversion, and retention.

This role is focused on improving marketing and funnel performance. You will work closely with Growth and Marketing teams to analyze CAC, LTV, and channel performance, identify opportunities, and drive actionable improvements.

This is not a pure reporting role. The expectation is to use data to influence real business decisions and help optimize revenue-driving initiatives across the funnel.

This role is best suited for someone with direct experience in DTC or e-commerce environments, working closely with marketing or growth teams.

Responsibilities

• Analyze and optimize CAC, LTV, conversion rates, and retention across key channels (paid, CRM, lifecycle)
• Identify performance gaps and recommend concrete actions (budget shifts, targeting, funnel fixes)
• Work with marketing team to evaluate channel performance (Meta, Google, etc.) and improve ROAS
• Support and analyze A/B tests and experiments tied to revenue or conversion impact
• Monitor and improve end-to-end funnel (traffic → conversion → repeat purchase)
• Identify drop-offs and propose specific fixes (landing pages, targeting, offers, segmentation)
• Partner with Growth/Marketing to prioritize high-impact opportunities
• Build and maintain simple, actionable dashboards for marketing performance tracking
• Ensure data accuracy and consistency for key KPIs (CAC, LTV, conversion, retention)
• Automate recurring reporting where needed (keep it lean, not over-engineered)
• Translate data into clear, actionable recommendations (not just insights)
• Support weekly/monthly performance reviews with focused, decision-ready analysis
• Proactively flag risks, inefficiencies, and growth opportunities

Requirements

• Direct experience working with a DTC / e-commerce brand (in-house), not marketplace, consulting, or pure BI roles
• Hands-on ownership or strong involvement in marketing performance (paid channels, CRM, or lifecycle)
• Proven experience optimizing CAC, LTV, conversion rate, and/or ROAS through actual initiatives (not just reporting)
• Experience analyzing and improving full funnel performance (acquisition → conversion → retention)
• Strong SQL + experience using data to drive real business or marketing decisions
• Experience working closely with Growth / Marketing teams on campaigns, experiments, or budget decisions

Nice to have

• Experience running or analyzing A/B tests tied to revenue or conversion impact
• Exposure to attribution modeling or channel performance analysis (Meta, Google, etc.)
• Basic predictive modeling (LTV, churn, forecasting) in a marketing or growth context
• Experience in fast-scaling DTC or high-growth e-commerce environments

Benefits

• Remote flexibility – Work remotely while collaborating with a globally distributed team.
• Earn between $40,000 to $60,000 per year, depending on experience and expertise.
• Strategic leadership role – Direct exposure to executive leadership and key decision-making processes.
• Opportunity to build and scale the company’s data strategy and infrastructure from the ground up.