Lead Analyst - Data Visualization - eCommerce Domain

We are looking for a Lead Analyst to drive strategic, data-driven decision-making across the organization. This role demands a hands-on leader who can blend analytics, data science, and stakeholder collaboration to solve complex business problems. You will mentor a team of analysts while also contributing as an individual contributor on high-impact projects. Key Responsibilities : - Lead a team of 4-5 analysts, offering mentorship, technical guidance, and project oversight. - Partner with business and product teams to develop analytics solutions that address core business challenges. - Build and deploy advanced analytics models and machine learning algorithms. - Design robust data models and create insightful dashboards for various stakeholders. - Work hands-on with tools such as SQL, Python, and visualization platforms like Metabase, Tableau, Power BI. - Ensure end-to-end ownership of projects, from data collection and cleaning to analysis, modeling, and reporting. - Maintain data integrity and quality across reports and models. - Stay current with the latest developments in data science and analytics to continuously enhance team output. Skills & Qualifications Required : - 4+ years of experience in analytics/data science, preferably in fast-paced, high-growth environments. - Bachelor's or Masters degree in Engineering, Statistics, Data Science, or a related field. - Strong programming skills in SQL and Python; experience in building data models and ML solutions. - Solid understanding of statistics, probability, and machine learning concepts. - Experience in Product Analytics and building solutions for eCommerce platforms is a must. - Expertise in data visualization tools (Metabase, Tableau, Power BI) for dashboarding and reporting. - Proven track record of leading mid-sized teams and delivering projects on time. - Excellent communication skills with the ability to translate data insights into business actions. - Masters in Business, Business Analytics/Data Science is preferred, but not mandatory