Lead Data Analyst - Customer Insights (Remote)

About the Role

As a Lead Data Analyst on the Customer Insights team, you will be a key influencer responsible for advancing the organization’s understanding of customers across brands, categories, and touchpoints. This fully remote position is an Individual Contributor role where you will lead complex analytical initiatives that develop foundational customer insights, strengthen customer identity resolution, and enhance customer profiles used across the business.

What You'll Do

• Lead the analysis of complex, high-impact customer analytics problems using advanced statistical and analytical methodologies.
• Identify and interpret meaningful patterns, behavioral drivers, and anomalies in large customer datasets to uncover strategic insights across brands and categories.
• Translate analytical findings into actionable insights and recommendations that inform business decisions.
• Lead analytical initiatives that improve customer identity resolution across systems and channels.
• Develop enriched customer profiles and customer-level datasets that support a consistent Customer 360 view.
• Partner with data engineering teams to ensure the integrity and accessibility of customer data used for analytics.
• Design and maintain analytical data structures (feature sets, analytical tables, and transformation logic) that support consistent customer insights and reporting.
• Design and implement A/B tests and experimental frameworks to evaluate customer behavior, engagement strategies, and business initiatives.

Requirements

• 8+ years of experience in a hands-on data analytics or customer analytics role.
• Expert-level SQL proficiency for complex data manipulation, transformation, and query optimization across large-scale datasets.
• Advanced experience with data visualization tools (Tableau, Power BI, Looker) to develop interactive dashboards and analytical storytelling.
• Strong expertise in statistical analysis and modeling techniques, including regression analysis, hypothesis testing, and causal inference.
• Proficiency in Python or R for advanced data analysis, feature engineering, and predictive modeling.
• Exceptional communication and collaboration skills with the ability to translate complex analytical findings into business insights.
• A Bachelor’s degree in Data Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related quantitative field (or equivalent practical experience).

Nice to Have

• Experience designing analytical frameworks for customer identity resolution, customer segmentation, or behavioral analytics.
• Ability to influence cross-functional stakeholders and drive data-informed decision making.

What We Offer

• Competitive salary ranging from $120,000 to $150,000 annually.
• Fully remote work environment with flexible hours.
• Opportunities for professional development and continuous learning.
• Collaborative team culture focused on innovation and data-driven decision making.
• Access to advanced tools and technologies in data analytics.