Lead Data Analyst - Contract

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, and drive efficiencies across our 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: 

• Data Leadership: Provide strategic direction using data insights to shape business initiatives, identify growth opportunities, and 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, and forecasting to inform product and marketing strategies.
• E-commerce Focus: Leverage your experience in e-commerce to develop actionable insights that improve customer acquisition, retention, and overall user experience in a subscription-based model.
• Business Intelligence (BI) Tools: 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.
• Cross-functional Collaboration: Partner with teams from Engineering, Marketing, and Product to influence strategy and drive execution. Build strong relationships to align business needs with data initiatives.
• People Leadership: 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.
• 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.

Qualifications: 

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

Nice to Have: 

• Advanced Education: Master’s degree or higher in a quantitative field.
• Technical Proficiency: Hands-on experience with machine learning, A/B testing, and experimental design.
• Industry Knowledge: Deep understanding of e-commerce KPIs, personalization techniques, and subscription models.
• Leadership Skills: Strong leadership and stakeholder management abilities with the capacity to influence at various organizational levels.

What we offer:

• Flexible Work Hours
• Competitive Salaries
• Professional Development Opportunities