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Lead - Data Analytics (Product)

0 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Job Type

Part Time

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 BirlaPivot) to make informed decisions that drive growth and efficiency. Key Accountabilities: 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 BirlaPivot.​ 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.​ Show more Show less

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