Lead - Data Insights

Job Purpose: We are looking for a Lead - Data Insights who is passionate about transforming raw data into actionable intelligence. This role is critical in digitizing untapped data, building a robust data repository, and embedding insights into business decision-making. The ideal candidate will drive data-driven transformation, enabling internal and external stakeholders (buyers, sellers, and teams within Birla Pivot) to make informed decisions that drive growth and efficiency. Key Accountabilities & Support Actions Digitize the Undigitized & Build a Strong Data Repository: Identify and integrate previously untapped data sources into the company s data ecosystem. Develop and implement strategies to digitize business processes, enabling seamless data capture. Work closely with tech teams to build scalable, high-quality data infrastructure. Establish Insights as a Workstream: Drive insights generation across buyers, sellers, and internal users within Birla Pivot. Develop real-time dashboards, predictive analytics, and business intelligence reports to optimize decision-making. Partner with product, category, and customer teams to leverage data for personalization, pricing, and performance improvement. Mentor Teams to Deliver Measurable Outcomes: Lead, coach, and upskill the data analytics and insights team, fostering a high-performance culture. Implement frameworks for data-driven decision-making, ensuring insights translate into tangible business impact. Establish clear KPIs and continuously track the effectiveness of insights-driven initiatives. Build Strong Cross-Functional Collaboration: Act as the data champion across Sales, Operations, Category, Finance, and Credit teams. Work closely with stakeholders to understand business challenges and develop data backed solutions. Promote a data-first culture by ensuring that all critical business decisions are backed by insights. Qualifications and Experience: 7+ years of experience in data insights, business intelligence, or analytics roles. Strong expertise in SQL, Python/R, BI tools (Tableau, Power BI, Looker), and data warehousing solutions. Proven track record in building data repositories, reporting frameworks, and predictive analytics models. Experience working cross-functionally and influencing business decisions using data. Excellent leadership, mentoring, and stakeholder management skills. Qualifications: MBA Minimum Experience Level: 8-9 Years Report to: Chief Product Officer