Assess and document quality of AR Analysts' work and call interactions (conversational skills, claims resolution, voice). Develop process documentation, provide feedback, coordinate remedial training, ensure ethical behavior and HIPAA/PHI compliance, communicate clearly, manage time, attend team meetings, and adhere to company policies.
- Review the work performed by AR Analyst team and document any quality issues.
- Review call quality issues on various parameters such as conversational skills, claims resolution, and voice quality.
- Participate in developing process documentation.
- Provide feedback and work with the training team to provide remedial training.
- Always be at the forefront of ethical behavior and never be a bystander.
JOB RESPONSIBILITIES:
- Review the work performed by AR Analyst team and document any quality issues.
- Review call quality issues on various parameters such as conversational skills, claims resolution, and voice quality.
- Participate in developing process documentation.
- Provide feedback and work with the training team to provide remedial training.
- Always be at the forefront of ethical behavior and never be a bystander.
Recognize and respect cultural diversity. - Adapt communication to an individual’s ability to understand. • Use medical terminology appropriately.
- Respond to communications received within a reasonable time frame.
- Project a professional manner and image.
- Adhere to ethical principles.
- Demonstrate initiative and responsibility.
- Work as a team member.
- Efficient Time Management.
- Prioritize and perform multiple tasks.
- Adapt to change, including new hours of operation and methodology.
- Attend functional team meetings and mandatory in-service education.
-
Maintain proper observation and adherence to company policies and procedures.
KNOWLEDGE, SKILLS, AND EXPERIENCE:
- Should have worked as a Quality Controller for AR Analysts for at least one year with AR analyst for providers or should have worked more than 6 years as AR analyst
- Must have very good knowledge of AR and be confident in process knowledge.
- Experience in the end-to-end Healthcare process
- Adapting to new situation challenges whenever required.
- Adhere to all company policies and procedure
LEGAL and COMPLIANCE: - Maintain patient and company confidentiality.
- Practice within the scope of education, training, and personal capabilities.
- Document company documents (hard copy and electronic) accurately.
- Use appropriate guidelines for releasing information.
- Maintain awareness of US federal and US state health care legislation and regulations, PHI, HIPAA
- Should be Graduate
- Should have worked as a Quality Controller for AR Analysis for at least one year with medical billing service providers or should have minimum 5 years’ experience as AR Analyst
- Must have very good knowledge of medical billing and be confident in process knowledge.
- Experience in the end-to-end Healthcare process for the audit
- Adapting to new situation challenges whenever required.
- Adhere to all company policies and procedures.
YEARS OF EXPERIENCE: - Minimum 1 year of experience as Quality Analyst or having 6+ years of experience as AR Analyst
-
POSITION RELATIONSHIPS:
-
Reports directly to the Assistant Manager
WORKING HOURS:
- 40 hours per week as Full-time employee
- Shift time: 12 PM IST - 9 PM IST
-
Weekends Off
TELECOMMUTER/INTERNET REQUIREMENT:
- High Speed internet connection at home, must be broadband with minimum of 100 MBPS Speed or above
- Must understand and adhere with telecommuter policy
- Must have power backup to mitigate power outage
EXL Chennai, Tamil Nadu, IND Office
Chennai, India
Similar Jobs
Automotive
Designs and develops resilient, event-driven platform solutions, microservices, and API integrations across enterprise systems. Partners with stakeholders to deliver technology solutions, prototypes, AI-powered agents, RAG architectures, and workflow automation. Builds cloud-native solutions on Google Cloud Platform and champions DevSecOps, CI/CD, automated testing, observability, monitoring, and continuous improvement.
Top Skills:
42CrunchCheckmarxCi/CdClaudeDevsecopsEvent-Driven ArchitectureGoogle Cloud PlatformJavaJunitMicroservicesNode.jsRestRetrieval-Augmented GenerationSeleniumSoapSonarqubeSpring BootTest-Driven Development
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Leads Global Delivery operations, managing teams, customer solutions, batch processing, modernization, migrations, compliance, and process optimization. Oversees order quality and delivery, troubleshoots processing issues, develops global standards, drives automation and efficiency initiatives, and partners with business units on requirements, implementation, and technology development. Presents solutions to leadership and clients while managing employee growth, performance, and retention.
Top Skills:
PythonSQL
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Processes and fulfills transactional and batch data requests for internal and external customers. Responsibilities include validating requirements, extracting, cleansing, and validating data, reviewing system outputs, resolving data concerns, meeting service-level agreements, handling queries, and improving process quality and efficiency. The role requires SQL and Python skills to support data processing and migration initiatives, strong attention to detail, and collaboration with customer engagement and sales teams.
Top Skills:
AutosysETLMS OfficePythonSQLUnix
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.


