Lead Data Analyst

Must Have skills Note: Very Strong SQL with Tableau and Python hands on experience.

QUALIFICATIONS:

• 9+ years of professional experience in data analytics, with a track record of using insights to shape business strategy in high-growth e-commerce or digitally enabled retail environments.
• Minimum of 2 years of professional experience managing and developing junior team members.
• Strong e-commerce domain expertise, including digital funnel optimization, omnichannel performance, customer segmentation, and merchandising analytics.
• Strong business acumen and executive presence, with the ability to influence senior stakeholders through data storytelling.
• Advanced SQL and proficiency in Python or R; strong grasp of experimentation design, statistics, and data modeling.
• Proficiency in BI tools like Tableau or Thoughtspot; able to build scalable, intuitive dashboards from the ground up.
• Experience collaborating with Data Science teams to build, deploy, and evaluate predictive models (e.g., forecasting, churn, LTV).
• Familiarity with AI/ML applications in analytics, including generative AI (e.g., prompt engineering, LLMs), and AI-based tools for business decision support.
• Self-starter with excellent communication and prioritization skills; comfortable managing projects with ambiguity and shifting priorities.