Job
Description
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. Show more Show less
