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Business Intelligence Analyst

Flairchase
Multiple Locations
6 - 9 Years

Posted on: 25/11/2025

Job Description

Description :


The core responsibilities for the job include the following :


Business Analysis and Performance Monitoring :


- Evaluate trends in denial codes, claim rejections, and underpayments to identify process improvement opportunities.


- Track payer-wise behaviour, including turnaround time, rejection rates, and appeal effectiveness, to optimize payer relations.


- Perform variance analysis between expected vs. actual collections at the CPT, provider, or facility level.


- Conduct root cause analysis on recurring AR issues and collaborate with the Engineering team to build analytics within the product to address inefficiencies.


- Provide comparative benchmarking analysis across clients, facilities, or billing teams to identify high and low performers.


- Analyse operational data to uncover gaps in performance and revenue leakage.


- Monitor team productivity, payment velocity, and claim lifecycle metrics to enable proactive management.


- Build and automate monthly and quarterly performance reports for internal review and client delivery.


- Support the creation of early warning systems using thresholds and alerts to flag potential revenue risks before they escalate.


Data Modelling and Reporting Optimization :


- Build optimized data models and star schemas for efficient querying and reporting.


- Ensure data integrity, accuracy, and consistency across all reports and dashboards.


- Design and maintain semantic layers and calculated measures to standardize KPIs across reports.


- Develop performance-tuned data models to handle large datasets from EMRs, clearinghouses, and payer feeds.


- Work with data engineering and ETL teams to define data transformation logic and join relationships between tables.


- Conduct periodic audits and validations to ensure report outputs match source system data.


- Create data dictionaries and metadata documentation to support self-service BI and cross-functional reporting adoption.


Client-Facing Reporting :


- Create client-specific dashboards aligned with contractual SLAs, performance KPIs, and custom reporting formats.


- Participate in client calls, review meetings, or QBRs to explain BI findings, answer queries, and gather feedback for improvements.


- Tailor reports to meet the unique operational and financial goals of each client based on their specialty (e. g., radiology, physical therapy, behavioral health).


- Support onboarding of new clients by designing initial reporting templates and walkthroughs based on contractual agreements.


- Collaborate with client-facing teams to identify and implement report automation and scheduling based on client preferences.


- Maintain a repository of client reporting templates and historical performance data to support renewals, audits, and strategic discussions.


Collaboration and Cross-Functional Support :


- Partner with Data Analysts to integrate deeper insights (e. g., predictive denial risk models, claim lag analytics) into business dashboards.


- Work closely with Client Services Managers to understand specific client expectations and customize reporting accordingly.


- Collaborate with the technology team to align data infrastructure, APIs, data refresh schedules, and build Technology for RCM.


Dashboard Development and Visualization :


- Design, develop, and maintain interactive dashboards and reports using BI tools (Power BI, Tableau, QlikView, or Looker).


- Visualize trends across critical RCM KPIs such as denial rates, net collection rate, clean claim rate, first-pass resolution, and AR > 90 days.


- Create intuitive, user-friendly interfaces with filter-based drilldowns (by payer, provider, region, facility, CPT, etc. ).


- Develop dynamic and parameterized dashboards that allow stakeholders to customize views based on their specific needs.


- Incorporate visual indicators and alerts (color codes, trend arrows, threshold flags) to help users quickly interpret performance issues.


- Ensure dashboards are responsive and optimized for various screen sizes and devices, especially for client facing reports.


- Perform regular updates and enhancements to dashboards based on evolving client requirements, stakeholder feedback, or data model changes.


Data Quality and Governance :


- Ensure accuracy, consistency, and security of healthcare data in compliance with HIPAA and company standards.


- Participate in ETL/data validation and cleansing tasks as required.

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