- Design, develop, and maintain dashboards and reports to support RCMS operations, including work allocation, production efficiency, and performance tracking.

- Partner with the U. Director of Operations, RCMS, to align on departmental metrics, KPIs, and reporting standards.

- Collaborate with RCMS Revenue Optimization team to analyze RCM data (claims, denials, collections, AR) to identify operational trends, risks, and opportunities for improvement.

- Create scalable data models and visualizations to support customer and internal decision-making.

- Ensure data accuracy, integrity, and usability across all reporting and dashboarding tools.

- Support ad hoc reporting and advanced analytics requests from leadership and stakeholders.

- Mentor junior analysts in BI development practices, ensuring consistency and quality across deliverables.

- Collaborate with cross-functional teams (Ops, Product, Customer Success, Finance) to ensure BI deliverables meet business needs.

Success Metrics

- Delivery of accurate, timely dashboards and reports aligned with RCMS operational needs.

- Increased visibility into production, work allocation, and performance metrics.

- Improved efficiency and decision-making through actionable analytics.

- Identification and communication of RCM trends and insights that drive customer growth and retention.

Qualifications :

- Bachelor's degree in computer science, Information Systems, Healthcare Analytics, or related field.

- 4+ years of experience in business intelligence, reporting, or analytics within healthcare, RCM, or EHR domains.

- Advanced SQL skills and strong hands-on experience with Snowflake (mandatory).

- Strong experience with BI/dashboard tools (e.g., Power BI, Tableau, Looker, or equivalent).

- Knowledge of RCM workflows and healthcare billing data (claims, remittances, AR, denials, payer codes, etc.

- Familiarity with healthcare billing codes (ICD, CPT, HCPCS, NPI) preferred.

- Strong understanding of dimensional data modeling and ETL concepts.

- Experience with data pipeline tools (e.g., Airflow, DBT) and scripting languages (Python/R) preferred.

- Proven ability to translate business requirements into actionable technical solutions.

- Strong analytical, problem-solving, and communication skills.

- Ability to manage multiple priorities in a fast-paced environment and work collaboratively across geographies.

Core Technical Skills :

- Advanced SQL proficiency for complex querying and data manipulation.

- Expertise in Snowflake for data warehousing and analytics (mandatory).

- Handson experience with BI tools such as Power BI, Tableau, Looker, or equivalent.

- Dimensional data modeling and understanding of ETL processes.

- Data pipeline development using tools like Airflow or DBT.

- Scripting knowledge in Python or R for advanced analytics and automation.

Healthcare & RCM Domain Knowledge :

- Indepth understanding of Revenue Cycle Management (RCM) workflows.

- Familiarity with healthcare billing data (claims, remittances, AR, denials, payer codes).

- Knowledge of medical coding standards (ICD, CPT, HCPCS, NPI).

- Experience working with EHR systems and healthcare analytics.

Business Intelligence & Analytics :

- Ability to design and maintain dashboards that drive operational insights.

- Experience in data visualization and storytelling for decisionmaking.

- Proven track record of translating business requirements into technical solutions.

- Strong focus on data accuracy, integrity, and usability.

Leadership & Collaboration :

- Experience managing and mentoring BI/MIS teams.

- Strong crossfunctional collaboration with Ops, Product, Finance, and Customer Success teams.

- Ability to align with senior leadership on KPIs, metrics, and reporting frameworks.

- Skilled in stakeholder communication and presenting insights to nontechnical audiences.

Soft Skills & Work Ethic :

- Excellent analytical and problemsolving abilities.

- Strong verbal and written communication skills.

- Ability to prioritize and manage multiple projects in a fastpaced environment.

- Collaborative mindset with a global team orientation.

Location : Vadodara (on-site work required).

Shift : Night shift (India time).