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

Looking to get Placed? Try our Placement Guarantee Plan

Get Hired
• 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.