Senior Business Intelligence Analyst (Healthcare)

Accountabilities: Design, develop, and maintain AI-assisted dashboards, KPIs, and executive reports using Power BI, Tableau, SQL, and Excel to monitor pipeline, bookings, revenue, and sales performance. Leverage AI and agentic AI tools to accelerate analytics, automate recurring reports, streamline data preparation, and generate insights while validating outputs for accuracy and reliability. Analyze historical, current, and pipeline data to identify trends, develop forecasts, and support revenue planning and business strategy. Build revenue, cost, and deal-margin models, and contribute to pricing analysis for healthcare data products and services. Prepare analytical data, insights, and demonstration materials for healthcare solutions, including payment integrity, medical cost management, value-based care, population health, risk adjustment, and HEDIS/Star programs. Provide accurate, well-supported data and analytics for RFPs, proposals, and commercial opportunities. Monitor healthcare payer, market, competitive, and regulatory trends, translating findings into actionable recommendations for Sales, Product, and executive stakeholders. Maintain data accuracy, consistency, and integrity across business systems, reports, and dashboards. Maintain CRM documentation and data quality, troubleshoot CRM and sales technology issues, and support pipeline management activities. Support weekly sales meetings, pipeline reviews, and ongoing sales operations. Assist Sales Directors with demo environments, sales collateral, account analysis, and deal-specific analytics. Develop executive presentations and sales materials that communicate insights through clear, compelling, data-driven narratives. Collaborate cross-functionally with Sales, Finance, and go-to-market teams to support strategic decisions and business growth. Requirements: 4–5 years of relevant professional experience in analytics, business intelligence, consulting, or sales operations. At least 2–3 years of experience working in the U.S. healthcare industry or healthcare data and analytics, including payer, provider, healthcare vendor, health-tech, or consulting environments. Strong SQL skills and practical experience developing dashboards and reports using Power BI, Tableau, or similar BI tools. Hands-on experience using AI and agentic AI tools such as ChatGPT, Claude, or Copilot to develop, automate, or accelerate analytics and reporting workflows, with the ability to validate AI-generated outputs. Advanced proficiency in Excel and strong analytical capabilities. Solid understanding of business and financial concepts, including unit economics, pricing, margins, and financial reporting. Ability to transform complex datasets into actionable insights and communicate findings effectively to executive audiences, both verbally and in writing. Strong problem-solving skills, attention to detail, adaptability, and learning agility. Bachelor’s degree in Business, Economics, Analytics, or a related field. Preferred qualifications: Familiarity with payer claims data, healthcare financial concepts, or payment integrity; experience working with CRM platforms such as Salesforce or HubSpot; exposure to AI agent development, automated workflows, APIs, MCP, or low-code integration tools; and familiarity with cloud data platforms and modern data stack technologies. Ability to work remotely from India while aligning with U.S. Eastern Time business hours. Willingness to support a schedule aligned with U.S. business hours, approximately 6 PM–3 AM IST, subject to business needs. Strong collaboration skills and the ability to thrive in a fast-paced, high-growth environment. Benefits: Competitive compensation, leave, and benefits package. Comprehensive health coverage. Equity participation for every employee, offering an opportunity to share in the company’s success. Remote working arrangement. Growth-oriented environment with opportunities for professional development and career advancement. Exposure to innovative healthcare analytics, AI-powered solutions, and emerging technologies. Collaborative, inclusive, and diverse workplace culture. Standard working schedule of 9 hours per day, 5 days per week, aligned with U.S. Eastern Time.