Remote Lead Data Analyst

Summary

Join our team as a Lead Data Analyst and shape data-driven strategies that enhance member experiences, support business growth, and drive efficiencies across our e-commerce subscription platform.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field
• 5+ years of experience in data analytics or related fields, with at least 2 years providing technical support and guidance to teams
• Proven experience in an e-commerce environment, ideally within subscription-based business models
• Expertise in advanced analytics, statistical methods, and hands-on experience with tools like Tableau, Snowflake, SQL, Python, or R
• Strong ability to articulate both technical details and high-level business strategies to various stakeholders

Responsibilities

• Provide strategic direction using data insights to shape business initiatives, identify growth opportunities, and address potential challenges
• Apply rigorous analytical methods to drive key business decisions. Lead efforts in hypothesis testing, A/B testing, regression analysis, and forecasting to inform product and marketing strategies
• Leverage your experience in e-commerce to develop actionable insights that improve customer acquisition, retention, and overall user experience in a subscription-based model
• Build, maintain, and improve data products, including dashboards, reports, and ad hoc analyses using Tableau and Snowflake, to enable data-driven decision-making across the company
• Partner with teams from Engineering, Marketing, and Product to influence strategy and drive execution. Build strong relationships to align business needs with data initiatives
• Mentor and inspire a team of analysts, fostering a data-driven culture. Guide junior analysts on best practices and technical expertise, upskilling the team to enhance overall impact
• Translate complex data sets into compelling stories. Present insights clearly to stakeholders at all levels, providing actionable recommendations that align with business goals

Preferred Qualifications

• Master’s degree or higher in a quantitative field
• Hands-on experience with machine learning, A/B testing, and experimental design
• Deep understanding of e-commerce KPIs, personalization techniques, and subscription models

Benefits

• Flexible Work Hours
• Competitive Salaries
• Professional Development Opportunities