Job Description :

We are seeking a highly skilled Data Analyst Lead to own and scale analytics, reporting, and insights for a cloud-native US Healthcare Revenue Cycle Management (RCM) platform.

This expert-level role combines hands-on data analysis, BI strategy, AI/ML insights, Power BI/Power Automate workflows, and advanced reporting.

You will drive actionable analytics across Claims, Prior Authorization, Scheduling, Coding, Collections, Payments, Denials, AR, and EDI, ensuring real-time dashboards, alerts, and executive reporting.

You will collaborate with Product, Engineering, Data Engineering, DBA, AI/ML, RPA, DevOps, Compliance, and Operations teams to deliver secure, scalable, and compliance-ready analytics.

Analytics Strategy & Ownership :

- Define and execute analytics roadmap aligned with business outcomes and RCM workflows.

- Establish standardized KPIs, dashboards, and alerts, integrating AI/ML and predictive insights.

- Serve as primary escalation point for all analytics issues and decisions.

Hands-On Data Analysis & BI :

- Build and maintain Power BI dashboards, reports, and semantic models for internal and external stakeholders.

- Analyze EDI transaction data (837, 835, 270/271, 276/277, 278) to drive operational and financial insights.

- Develop advanced SQL queries on SQL Server, Snowflake, Redshift, and other databases.

- Integrate BI with enterprise workflows via Power Automate and automated reporting pipelines.

AI/ML & Automation Enablement :

- Partner with AI/ML, GenAI, Agentic AI, and RPA teams to define metrics, monitor model performance, and track workflow automation success.

- Build dashboards and visualizations that capture predictive insights, anomaly detection, and automation exceptions.

Reporting, Presentation & MS Office Enablement :

- Create stakeholder-ready reports and dashboards using Excel (pivot tables, Power Query, formulas), PowerPoint presentations, and Word documentation.

- Translate complex analytics into clear, actionable insights for business leaders and executives.

- Support self-service analytics for operational teams and enable data storytelling.

Team Leadership & Mentorship :

- Lead and mentor a team of BI Developers, Data Analysts, and Junior Analysts.

- Establish BI development standards, review processes, and quality benchmarks.

- Manage sprint planning, delivery timelines, and stakeholder expectations.

Security, Compliance & Governance :

- Ensure analytics and BI solutions comply with HIPAA, SOC 2, and internal security policies.

- Implement RBAC, PHI masking, and audit-ready reporting.

- Maintain clear documentation of metrics, dashboards, and data sources for transparency and audit readiness.

Candidate Requirements :

- Bachelor's or Master's in Data Analytics, Computer Science, Information Systems, or related fields.

- 8 - 12+ years in data analytics, BI, or related roles; 3+ years in a lead/manager role.

- Hands-on experience with Power BI, Tableau, Looker, and SQL Server, Snowflake, Redshift.

- Strong Excel, PowerPoint, and Word skills for advanced reporting and executive presentations.

- Experience in US Healthcare, RCM, or other regulated domains preferred.

- Exposure to AI/ML, GenAI, RPA, or predictive analytics is a strong plus.

Technical Expertise :

- Databases & Querying : SQL Server, Snowflake, Redshift, PostgreSQL, Advanced SQL.

- BI & Visualization Tools : Power BI, Tableau, Looker, D3.js, Power Automate.

- Data Modeling : Star schema, snowflake schema, semantic layers.

- Cloud Platforms : AWS, Azure, GCP (analytics & security awareness).

- RCM & EDI Analytics : 837, 835, 270/271, 276/277, 278.

- Integration & Data Pipelines : Microservices, APIs, event-driven pipelines.

- AI/ML & Agentic AI : Predictive analytics dashboards, model performance tracking, autonomous workflow integration.

- Security & Compliance : HIPAA, SOC 2, RBAC, PHI masking, audit-ready reporting.

- Office Productivity & Reporting : Advanced Excel (pivot tables, Power Query, formulas), PowerPoint, Word documentation, and stakeholder-ready reports.

Skillset :

- Strong leadership with hands-on data analytics, BI, and MS Office expertise.

- Ability to connect analytics, AI insights, and automation to business outcomes.

- Excellent stakeholder management, mentoring, and presentation skills.

- Strong problem-solving ability in complex, regulated environments.

- Compliance-first mindset with focus on trust, accuracy, and audit-readiness.

Strategic Impact :

- Transform analytics into actionable intelligence across Healthcare RCM modules.

- Enable real-time visibility, automated alerts, and AI-driven insights.

- Support AI, automation, and intelligent operations with measurable metrics and predictive dashboards.

- Reduce revenue leakage, improve collections, and enhance operational transparency.

- Strengthen audit readiness and executive confidence in analytics outputs.