Senior Business Intelligence Analyst (Healthcare)

Team: Analyst

Location: India

Commitment: Full-time

Workplace Type: remote

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.