About Birla Pivot:
In a short span of 2.5 years since inception, Birla Pivot has evolved into a comprehensive B2B e-commerce platform offering integrated procurement and financial solutions that help businesses become efficient and grow. We offer products across 35 categories, 40,000+SKUs from 300+ brands across Building Material, Chemicals & Metals. We launched private labels in 3 categories : Tiles, Ply and Bath ware. With a robust network of suppliers and transporters, we have delivered to 4,000+ pin codes across 375 cities. Our customer base now spans top-tier EPC companies, civil contractors, real estate developers, OEMs, fabricators, manufacturing companies, dealers, and retailers. We connect Sellers, Buyers, Logistics service providers, Lending partners, Payment solution providers on a unified digital backbone thereby creating end to end visibility and providing a B2C like fulfilment experience for the B2B ecosystem.

The evolution of B2B ecommerce is expected to mirror the B2C ecommerce journey, where technology transformed discovery, pricing, fulfilment, and customer experience at scale. Digital penetration today in B2B ecommerce is still under 2%, indicating massive headroom for scalable digital-first platforms. As the Aditya Birla Group, we are uniquely positioned to transform and shape the way commerce is done across these verticals by leveraging our deep industry expertise and scale. We have built a unique Quote based, Credit linked commerce journey that solves for the needs of B2B commerce with a diverse team that is a mix of deep industry expertise and experience of building complex technology platforms from the ground up. Our goal is to drive this digital adoption and create a distribution platform that can become the most trusted B2B ecommerce platform in the country.

Job Purpose:
A strategic leadership role responsible for shaping the sales analytics agenda and accelerating business growth across the organization. This role owns the end-to-end analytics strategy for sales and purchase efficiency, leads a team of analysts, and partners with senior leadership to convert data into enterprise-wide decisions. The role is accountable for building scalable BI and AI-driven capabilities, driving high-impact incentive and growth programs, and mentoring a team to deliver actionable, forward-looking insights.

Key Responsibilities:

Sales Analytics Strategy & Insights

• Own and drive the enterprise sales analytics strategy, aligning KPI frameworks with organizational growth objectives.
• Lead advanced descriptive, diagnostic, predictive, and prescriptive analytics to solve complex, high-stakes business problems.
• Lead root-cause investigations on KPI shifts, synthesizing internal and external factors into strategic recommendations for senior leadership and CXO forums.
• Identify enterprise-level growth levers and translate them into a prioritized roadmap of actionable initiatives.
• Partner with cross-functional and senior leadership teams to embed analytical insights into strategic and operational decision-making.
• Architect scalable frameworks, dashboards, and SOPs that institutionalize KPI monitoring across the organization.

Driving Programs & Business Growth

• Own the design and strategic direction of large-scale incentive plans and sales growth programs spanning multiple stakeholder groups.
• Set governance and success metrics for programs, and drive execution through cross-functional teams to ensure business impact.
• Evaluate program ROI and effectiveness, presenting strategic recommendations and business cases to senior leadership.
• Continuously refine program design based on market, competitive, and performance signals to maximize sales and purchase efficiency.
• Build and nurture senior stakeholder relationships to ensure programs remain aligned with evolving business priorities.

Digitalization & AI-led Innovation

• Define the digitalization and BI roadmap in partnership with product and technology leadership, prioritizing automation of data collection, processing, and reporting.
• Champion a culture of automation, identifying and scaling opportunities that eliminate manual, repetitive analytics work.
• Lead the development of the organization's predictive and prescriptive analytics capability.
• Drive the design, deployment, and scaling of AI and Agentic AI use cases end-to-end — from model development and data pipelines through integration and production — establishing best practices for the wider analytics function.

Team Leadership & Stakeholder Management

• Lead, mentor, and develop a team of analysts, building analytical capability and fostering a high-performance, insight-driven culture.
• Act as a trusted analytics partner to senior leadership, translating complex data into clear, decision-ready narratives.
• Represent the analytics function in cross-functional and leadership forums, influencing strategic decisions with data-backed perspectives.
• Set priorities, review quality, and ensure timely delivery of the team's analytical outputs against business goals.