Data Analyst

Product Development

Overview
We are seeking a highly skilled Data Analyst to design, develop, and deliver actionable analytics for a cloud-native US Healthcare Revenue Cycle Management (RCM) platform. This role focuses on data analysis, BI, dashboards, automation, and reporting across Claims, Prior Authorization, Scheduling, Coding, Collections, Payments, Denials, AR, and EDI. You will work closely with Product, Engineering, Data Engineering, DBA, AI/ML, RPA, DevOps, Compliance, and Operations teams to deliver real-time, secure, and compliance-ready analytics.

Job Roles Responsibilities

Data Analysis Reporting

- Analyze operational, financial, and clinical data across RCM workflows to provide actionable insights.
- Write advanced SQL queries and generate reports from SQL Server, Snowflake, and Redshift.
- Develop Power BI dashboards and reports for internal teams and external stakeholders.
- Leverage Excel, Power Query, pivot tables, and formulas for deep-dive analysis.
- Prepare stakeholder-ready PowerPoint presentations and Word documentation summarizing trends and insights.

AI/ML Automation Enablement

- Collaborate with AI/ML, GenAI, Agentic AI, and RPA teams to provide curated datasets for model training and validation.
- Build dashboards tracking predictive insights, AI model outputs, and automation exceptions.
- Enable actionable insights to trigger operational workflows through Power Automate and enterprise automation.

RCM EDI Analytics

- Work with Claims, Prior Authorization, Coding, Collections, Payments, Denials, AR, and EDI (837, 835, 270/271, 276/277, 278) data to deliver operational intelligence.
- Conduct root-cause analysis to identify revenue leakage,



payer performance issues, and process inefficiencies.

Collaboration Stakeholder Engagement

- Partner with Product Managers, Operations, Finance, and AI/ML teams to align analytics with business goals.
- Support self-service analytics adoption for operational and management teams.
- Communicate insights effectively using data storytelling, dashboards, and presentations.

Data Governance Compliance

- Ensure analytics solutions comply with HIPAA, SOC 2, and internal security policies.
- Implement role-based access controls (RBAC), PHI masking, and audit-ready reporting.
- Document data sources, metrics definitions, and reporting logic to maintain traceability.

Experience
Bachelor's or Master's degree in Data Analytics, Statistics, Computer Science, Information Systems, or related fields.
3-6+ years of experience in data analysis, BI, or analytics roles.
Hands-on experience with Power BI, Tableau, SQL Server, Snowflake, Redshift.
Strong proficiency in Excel, Power Query, pivot tables, formulas, and PowerPoint presentations.
Exposure to AI/ML, GenAI, Agentic AI, or RPA-driven analytics is a plus.
Experience in US Healthcare, RCM, or other regulated domains is preferred.
Technical Expertise:
Database Querying: SQL Server, Snowflake, Redshift, PostgreSQL, Advanced SQL
BI Visualization Tools: Power BI,



Tableau, Looker, Power Automate
RCM EDI Analytics: 837, 835, 270/271, 276/277, 278
AI/ML Automation: Dashboarding for model outputs, predictive analytics, RPA workflow monitoring
Cloud Awareness: AWS, Azure, GCP (analytics security awareness)
Data Governance Security: HIPAA, SOC 2, RBAC, PHI masking, audit-ready reporting
Office Productivity: Advanced Excel, PowerPoint, Word, including pivot tables, formulas, dashboards, and presentations
Integration Pipelines: Microservices, APIs, event-driven data pipelines Skillset:
Solid data analysis, problem-solving, and visualization skills.
Ability to translate complex RCM workflows, AI outputs, and analytics into actionable insights.
Experience collaborating with cross-functional teams including AI, RPA, DevOps, and product.
Excellent communication, presentation, and stakeholder engagement skills.
Attention to detail, compliance awareness, and audit-ready reporting mindset.
Strategic Impact:
Deliver accurate and actionable analytics to improve operational efficiency, collections, and payer transparency.
Support AI/ML adoption and automation workflows with curated data and performance dashboards.
Enable real-time insights and data-driven decision-making across RCM modules.
Improve operational KPIs, reduce revenue leakage, and strengthen compliance and audit readiness.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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