Lead Data Analyst

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, 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.

Key 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.

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 and guidance to teams.
● Proven experience in an e-commerce environment, preferably subscription-based business models.
● Expertise in advanced analytics, statistical methods, and experience with tools such as Tableau, Snowflake, SQL, Python, or R.
● Strong ability to communicate both technical details and high-level business strategies.

 Preferred Qualifications:

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

Employment Benefits: 

• Family health insurance cover.
• Education / Certification reimbursement.
• Best work Culture.
• Flexible work schedule.
• Work from home policies (on need base)