Data Management Specialist

Key Responsibilities

• Design, develop, and maintain dashboards and reports to support RCMS operations, including work allocation, production efficiency, and performance tracking.
• Partner with the U.S. 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)