Description:

As a Lead Data Analyst, you will be pivotal in shaping data-driven strategies that enhance the experiences offered to members.
Your insights will support business growth, inform product decisions, and drive efficiencies across the e-commerce subscription platform.
You will collaborate closely with various teams, including Marketing, Product, Merchandising, Engineering, and Finance, to provide actionable data insights that influence decision-making and future roadmaps.
This role focuses on leveraging advanced analytics and statistical techniques to support personalization, acquisition, retention, and growth strategies.
Responsibilities include providing strategic direction using data insights, applying rigorous analytical methods, leveraging e-commerce experience, building and maintaining BI tools, partnering with cross-functional teams, mentoring analysts, and translating complex data into compelling stories.

Requirements:

A Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field is required.
You must have 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, is essential.
Expertise in advanced analytics, statistical methods, and hands-on experience with tools like Tableau, Snowflake, SQL, Python, or R is required.
Strong communication skills are necessary to articulate both technical details and high-level business strategies to various stakeholders.

The position offers flexible work hours to accommodate different schedules.
Competitive salaries are provided to ensure fair compensation for your expertise.
Professional development opportunities are available to help you grow and advance in your career.