Analyst - ROI Operations (Practice Account Analyst) assists in analyzing and interpreting data to provide valuable insights to drive all support aspects, focusing on troubleshooting and resolving issues remotely via the phone, email, and available software. Responsibilities: General Proficient verbal and written communication skills. Ability to Work in night shifts. Strong ability to work under pressure, and dedication to maintaining data integrity. Ability to research, analyze, and sort information as needed. Operational Support Troubleshoot issues to determine root cause, identify solutions, or escalate appropriately. Ability to follow instructions and excellent communication skills for rectifying problems and providing feedback. Investigate discrepancies, fill gaps in incomplete records, and resolve other problems. Performs all duties as assigned and meets project compliances. Skills and Experience: Experience 0-3 years with excellent written, verbal, and interpersonal communication skills. Strong time management skills. Ability to key, scan, and transcribe high volumes of data from various sources. Review data being entered from sources to ensure accuracy and completeness. Strong understanding of accuracy and efficiency in managing large volumes of data. Proficiency in Microsoft Office, including Word, Outlook, and Excel, and knowledge of or ability to quickly learn other computer applications. US Healthcare domain experience will be an added advantage. Effective problem-solving skills. Ability to thrive in a small team in a fast-paced and deadline-driven environment. Ability to take ownership of tasks through resolution. Ability to work under minimum supervision. Skilled in utilizing various data entry software / ticketing tools will be an added advantage.
As a Senior Analyst ROI Quality, you will play a critical role in ensuring the accuracy and efficiency of transactional processing within the organization. You will work closely with the Quality Manager to design a Quality Management System that standardizes and documents all processes. - **Quality Assurance:** Monitor and evaluate the quality of ROI processing activities, identify errors, and recommend corrective actions. - **Data Analysis:** Analyse data to identify trends, patterns, and areas for improvement in processing workflows. - **Process Improvement:** Develop and implement process improvements to enhance the efficiency and accuracy of processing. - **Reporting and Documentation:** Prepare reports on quality metrics, analyse trends, and document findings for management review. - **Collaboration:** Work with various teams, including logging, assigning, abstracting, and IT, to resolve issues and implement quality initiatives. - **Training and Development:** Provide training and guidance to team members on quality standards and best practices in healthcare data processing. - **Staying Updated:** Stay informed about industry best practices, regulatory changes, and new technologies related to healthcare operations. **Skills Required:** - **Strong Analytical Skills:** Ability to analyse complex data, identify trends, and develop solutions to improve quality. - **Healthcare Knowledge:** Understanding of US healthcare processing, documents, key stakeholders, and regulations (e.g., HIPAA). - **Communication Skills:** Ability to communicate effectively with team members, stakeholders, and management. Good comprehension and English writing skills are essential. - **Problem-Solving Skills:** Ability to identify and resolve issues related to processing. - **Proficiency in MS Office Suite:** Especially Excel for data analysis and reporting. - **Attention to Detail:** Accuracy and thoroughness in reviewing and analysing data. **Qualifications:** - Must possess at least a Bachelor's/College Degree in any field or equivalent. - Must have at least 5+ years of work experience in Quality. In addition to the above requirements, you should have practical knowledge of transactional Quality Audits and a minimum of 6+ years of experience in BPO/KPO projects.,
The Senior Supervisor – Software Engineering manages staffing strategy, ensuring team members are fully dedicated and teams remain long-lived. They conduct performance reviews, align goals, and plan careers by integrating inputs from multiple sources, delivering feedback with minimal oversight. In collaboration with relevant HR partners, they help attract and acquire new talent, while also managing labor and technical vendors where appropriate. Using data, they assess, develop, and deploy talent capabilities, maintain familiarity with the specific work of team members, and ensure adherence to job family standards across teams. Key Responsibilities: Excellent understanding of databases and how partitioning, pruning, clustering, etc works. Experience in Tableau will be mandatory. Write clean, maintainable, and efficient code following best practices, design patterns, and coding standards. Debug, troubleshoot, and optimize existing applications, ensuring high availability and performance. Participate in the full software development lifecycle : planning, design, development, testing, deployment, monitoring, and maintenance. Collaborate with cross-functional teams to gather requirements and deliver technical solutions. Occasionally work with C# for specific project needs. Stay updated with emerging technologies, frameworks, and industry trends , bringing innovative solutions to the team. Perform peer code reviews , mentor junior developers, and promote knowledge sharing. Work Experience Required - 10 to 12 years. Ensures teams have the capabilities required to meet business objectives and focuses on delivering short-term outputs while maintaining effective integration with other work areas. Provides input into workforce planning and recruitment activities, executes job family processes, and contributes to procedure development. Applies policies and procedures to complete tasks of moderate scope and complexity, determining the appropriate course of action. Enables, cultivates, and reinforces the organizational culture model across at least one domain.
Role Overview: As a member of the Data Operations team, your role will involve designing, developing, and maintaining data extraction, transformation, and loading processes to ensure efficient data flow and integration. Key Responsibilities: - Perform BAU operational activities for client onboarding as per agreed timelines using Standard Operating Procedures - Ensure all operational tickets are kept updated at regular intervals using the ITSM tool - Highlight/escalate tasks stuck due to dependencies from other teams (internal/external) to the Team Lead - Assist the Team Lead/Operational Lead in explaining problems so that appropriate solutions can be derived - Provide timely and accurate updates of timesheets - Document and analyze current and future processes - Assist in testing during installations, upgrades, and patches - Ensure all data complies with legal regulations - Follow all prescribed operational processes Qualifications Required: - Education: BE-IT/CS, BCS/BCA - Work Experience: Fresher Additional Details: The company values teamwork and flexibility in its employees. Strong written communication skills and the ability to grasp concepts quickly are highly regarded. Technical skills in areas such as SDLC, MS SQL programming, Python programming, XML Parsing, and understanding of EHR setup are essential for success in this role.,
Analyst - Operations ROI (Practice Account Analyst) assists in analyzing and interpreting data to provide valuable insights to drive all support aspects, focusing on troubleshooting and resolving issues remotely via the phone, email, and available software. Responsibilities: General Proficient verbal and written communication skills. Ability to Work in night shifts. Strong ability to work under pressure, and dedication to maintaining data integrity. Ability to research, analyze, and sort information as needed. Operational Support Troubleshoot issues to determine root cause, identify solutions, or escalate appropriately. Ability to follow instructions and excellent communication skills for rectifying problems and providing feedback. Investigate discrepancies, fill gaps in incomplete records, and resolve other problems. Performs all duties as assigned and meets project compliances. Skills and Experience: Experience 0-3 years with excellent written, verbal, and interpersonal communication skills. Strong time management skills. Ability to key, scan, and transcribe high volumes of data from various sources. Review data being entered from sources to ensure accuracy and completeness. Strong understanding of accuracy and efficiency in managing large volumes of data. Proficiency in Microsoft Office, including Word, Outlook, and Excel, and knowledge of or ability to quickly learn other computer applications. US Healthcare domain experience will be an added advantage. Effective problem-solving skills. Ability to thrive in a small team in a fast-paced and deadline-driven environment. Ability to take ownership of tasks through resolution. Ability to work under minimum supervision. Skilled in utilizing various data entry software / ticketing tools will be an added advantage.
We are looking for a Senior Analyst – Clinical Data Abstraction with hands-on experience in EHR/EMR systems and strong knowledge of medical terminology. Job Responsibilities: Accurately and efficiently abstract medical data from various sources for specified disease areas/ projects Analyze and interpret complex medical information to provide meaningful insights from EHR/ EMR Familiarity with Inpatient Medical records/ discharge summary data Self-report activities like time spent on medical records and audits completed Participate and contribute to team meetings and learning sessions Maintain confidentiality and adhere to HIPAA guidelines when handling sensitive information. Collaborate with team members to achieve project goals and objectives. Maintain a high level of medical knowledge and expertise of electronic medical record systems Intermediate proficiency in MS Office Excel Quality Assurance: Consistently comply with minimum quality levels indicated in the QA plan Receive feedback from Quality Analyst and ensure timely reconciliation of errors Participate in quarterly inter-rater reliability assessments Support quality assurance processes for data integrity Qualification: Any Life Sciences degree (BDS, MDS, MBBS, BAMS, BHMS, BPharm, Nursing) Experience: 1-4 years in any Medical Area Abstraction. Oncology/ Cardiovascular domain experience preferred Basic Anatomy and Physiology Knowledge mandatory