About the Role: As a Lead Data Analyst, you will be pivotal in shaping data-driven strategies that enhance the experiences we offer our members. Your insights will support business growth, inform product decisions, & drive efficiencies across our e-commerce subscription platform. You will collaborate closely with various teams, including Marketing, Product, Merchandising, Engineering, & Finance, to provide actionable data insights that influence decision-making & future roadmaps. This role focuses on leveraging advanced analytics & statistical techniques to support personalization, acquisition, retention, & growth strategies. 

At FabFitFun, you will have the opportunity to make a significant impact by guiding the analytics that support our growth, retention, & customer satisfaction. You will own data initiatives from end to end & help create a lasting influence on the way we make data-driven decisions.

Location: FabFitFun is based in Beverly Hills, CA. This position is expected to work hybrid (3 days) from our HQ & is not eligible for remote.

Key Responsibilities: 

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

Minimum Qualifications: 

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field. 
• 5+ years of experience in data analytics or related fields, with 2+ years providing technical support & guidance to teams. 
• Proven experience in an e-commerce environment, preferably subscription-based business models. 
• Expertise in advanced analytics, statistical methods, & experience with tools such as Tableau, Snowflake, SQL, Python, or R. 
• Strong ability to communicate both technical details & high-level business strategies.

Preferred Qualifications: 

• Masters degree or higher in a quantitative field. 
• Hands-on experience with machine learning, A/B testing, & experimental design.
• Deep knowledge of e-commerce KPIs, personalization techniques, & subscription models. 
• Strong leadership & stakeholder management skills with the ability to influence at various organizational levels. 

The expected base salary range for this position is $135K to $160K + bonus. The compensation package will also include an initial equity grant, in addition to a range of generous medical, dental, vision & other perks & benefits. Compensation decisions are determined using a variety of job-related factors such as skill set, geographic location, market demands, experience, & education / certifications. If we extend an offer for employment, we will consider all individual qualifications.