Hrishikesh Sharma
BI - Data Analytics Manager - [MIS/CLIENT MANAGEMENT] || CAPGEMINI || Ex WNS || Ex METLIFE || Ex AMEX || Ex BOFA
- Role
- Senior Professional - Bi Team Manager at Capgemini Engineering
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Hrishikesh Sharma
Seasoned BI and Project Manager with 13+ years of experience in Data Analytics…
Experience
Senior Professional - Bi Team Manager
Apr 2021 — Present · Gurugram, IN
Business Intelligence|| Client Management || Resource planning/forecasting and management (MIS). Heading a 14-member BI & Data Analytics team, responsible for end-to-end data management, reporting, and insights delivery for a business span covering employees Provide strategic thought leadership by aligning global analytics practices, identifying business opportunities, and promoting consistency across teams. Drive large-scale data modernization projects in the Insurance domain, ensuring delivery within budget, timeline, and quality standards Integrate machine learning model outputs into dashboards to drive predictive analytics for operations and engagement. Automate 400+ Excel-based reports, improving reporting accuracy to over 98% and saving more than 400 hours annually. Manage customer segmentation and retention analysis, enabling smarter targeting and reduced acquisition costs. Facilitate training sessions and feedback loops with analysts and data scientists to iterate and enhance analytics solutions. Deliver insights and presentations during WBR, MBR & QBRs’ with internal and external leadership. Collaborate with cross-functional stakeholders on Hoshin Kanri / X-Matrix planning, executing analytics initiatives with measurable business impact. Define and implement client billing and buffer utilization models, negotiating KPIs, penalties, and performance-based pricing. Govern a comprehensive Workforce Management (WFM) framework including headcount planning, resource allocation, and attrition analytics Develop and manage spend analysis dashboards, forecasting models, and performance KPIs to support data-driven decision-making. Build and maintain interactive dashboards and executive-level reports using Power BI, Tableau, and Excel (Power Query/VBA). Consistently earn recognition from global stakeholders for excellence in automation, analytics innovation, and team leadership.
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