Senior Customer Analyst, Nutrafol

• You are highly analytical, detail-oriented, and comfortable working directly with large datasets in Snowflake (or similar environments)
• You know how to translate data into stories, dashboards, and recommendations that influence strategy
• You enjoy digging into customer behavior, identifying patterns, and answering ambiguous business questions with structured analysis
• You thrive in fast-paced, cross-functional environments and take pride in data accuracy, consistency, and clarity
• 4–6+ years of experience in data analytics, customer analytics, or business intelligence within an eCommerce company
• Advanced SQL skills with hands-on experience querying large datasets
• Strong experience analyzing customer, subscription, or lifecycle data
• Proven ability to translate complex data into clear insights and recommendations for non-technical stakeholders
• Experience working with metrics such as retention, churn, LTV, cohort analysis, and engagement
• High attention to detail and strong ownership of data accuracy and reporting quality
• Excellent communication and stakeholder management skills
• Comfortable working in a fast-paced, cross-functional environment

Desirable

• Nutrafol is looking for a Senior Customer Analyst - Marketing Analytics to join our Retention & Loyalty organization
• In this role, you will own customer reporting, analysis, and insight generation across the full customer lifecycle — from acquisition through subscription, retention, and churn
• You’ll partner closely with Retention Marketing, Loyalty, Product, and Data teams to turn complex customer data into clear, actionable insights that drive decision-making
• You'll own customer reporting and analysis across key lifecycle metrics including acquisition, retention, churn, engagement, and lifetime value
• Write, maintain, and optimize complex SQL queries in Snowflake to support recurring reporting, ad hoc analysis, and experimentation
• Build and maintain standardized customer datasets, metrics, and reporting frameworks to ensure consistency across teams
• Partner with Retention, Lifecycle, Loyalty teams to define analytical requirements and answer strategic business questions
• Analyze customer behavior trends, cohort performance, and subscription dynamics to surface insights and growth opportunities
• Support experimentation and testing by defining success metrics, building measurement frameworks, and analyzing results
• Create clear, executive-ready dashboards, summaries, and readouts that translate data into actionable recommendation
• Ensure data accuracy and quality through validation, documentation, and ongoing QA of reports and queries
• Contribute to best practices for customer analytics, reporting standards, and metric definitions