Shilpi Jindal
Sales Intelligence Analyst @MongoDB
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WORK HISTORY
Sales Intelligence Analyst @MongoDB
ON, CA
EDUCATION
Guru Gobind Singh Indraprastha University
Bachelor of Technology - BTech, Information Technology
ABOUT SHILPI JINDAL
Data & Business Intelligence Analyst with 10+ years of overall technical experience and 5.5+ years of dedicated focus in the analytics space. I specialize in turning complex datasets into clear, actionable stories using SQL, Python, and Tableau to drive revenue and operational efficiency.Currently at MongoDB, I build tools and dashboards that empower leadership to make data-driven decisions. My background is unique because I combine modern GenAI techniques with deep experience in data governance; I understand how to build the backend \"pipes\" just as well as I understand how to analyze the frontend \"flow\".Key Areas of Impact- Modern Analytics (GenAI): Developed GenAI-powered Natural Language Querying (NLQ) interfaces using Vertex AI and Google Gemini. This initiative allowed stakeholders to query databases in plain English, reducing routine data tickets by 90%- Revenue Operations: Identified $2.5 million in at-risk revenue through advanced SQL and Python analysis. These insights directly influenced quarterly territory planning and global revenue strategy- Strategic Visualization: Engineered complex Tableau dashboards for Sales and Leadership teams to track global KPIs, performance benchmarking, and headcount analytics- Data Integrity & Governance: Maintained 99.7% data accuracy across global sales organizations. I specialize in auditing legacy datasets and implementing automated cleaning protocols to ensure high-integrity reporting- Technical Workflow: Proficient in Git for version control and collaborative code development, ensuring the scalability and reliability of analytics scripts-Stakeholder Partnership: Acted as a technical liaison between business stakeholders and engineering teams to translate high-level requirements into scalable reporting solutions.I thrive on solving \"messy\" data problems and building scalable BI solutions that bridge the gap between technology and strategy. Let’s connect to discuss Data Analytics, Revenue Ops, or the latest in GenAI.
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