OPS Lead/Assistant Manager

MRO; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

MRO in Pune, India, seeks a senior data analytics professional to lead a team of analysts in healthcare data mining and EHR data migration. You will coordinate with client teams and ensure HIPAA compliance while delivering scalable reports.

Required 6-9 years in healthcare data analytics, with 3+ years in US healthcare. Strong SQL, experience with Allscripts/Athena/eCW, and leadership are essential.

Qualifications

• 6-9 years of experience in healthcare data analytics with 3+ years in US healthcare domain
• Strong SQL skills and ability to develop queries to troubleshoot issues
• Experience with EHR systems and health information standards (HIS/EHRs, SNOMED, CPT, ICD)
• Experience in PM, Claims, Lab Systems, RIS; data modeling, ETL, and big data technologies
• Excellent leadership and communication skills; self-starter and organizer

Responsibilities

• Point of contact for data analyst team and inter-dependent teams
• Understand EHR mapping, data structures, and HIPAA regulations
• Coordinate with clinicians/experts to develop/enhance the FIGmd Healthcare Data Analytics Platform
• Identify and manage issues across project lifecycle
• Identify automation opportunities to improve quality and speed
• Review artefacts and provide qualitative feedback

Skills

SQL

People management

Healthcare data analysis

EHR systems

ETL tools

Big data technologies

Data modeling

PM/Claims/Lab/RIS

SNOMED

ICD/CPT

Data migration

Education

Graduate or equivalent qualification

Tools

Allscripts

Athena

eCW

Job description

Location: Pune

Report to: Operations Manager

Purpose of Position

• Interact with the client team to implement healthcare analytics logic on large-scale hospital datasets to organize, collect and standardize data that helps generate various analytical reports
• Lead a team of data analysts to perform clinical data mining from various health systems and transform it in the normalized form. Execute automation opportunities
• Understand the current set of applications, and processes and build a sound knowledge repository

Key Responsibilities

• Point of contact for the data analyst team as well as inter-dependent teams
• Understand EHR database mapping, data structure, documentation structure and HIPPA regulations
• Coordinate with clinical/technical experts within and outside of the organization to develop/enhance the existing FIGmd Healthcare Data Analytics Platform
• Identify, manage and reconcile issues across project lifecycle phases
• Identify and execute opportunities for automation to improve quality and speed of deliveries
• Review the artefacts created by the team members and provide qualitative feedback

Experience

Must have

• Minimum 6-9 years experience out of which a minimum of 3 years in the US Healthcare domain in EHR data migration or healthcare data analysis strongly preferred
• Effective people management and data-driven performance management skills
• Experience in the healthcare domain with strong understanding of HIS & EHRs like Allscripts, Athena, eCW, etc. Well versed with PM, Claims, Lab Systems and RIS, SNOMED, LIONC, CPT, ICD
• Strong understanding of SQL and the ability to develop queries to troubleshoot issues
• Good understanding of data modeling tools and standards, ETL tools, and big data technologies
• Self-starter and organizer with high energy and drive to meet the needs of a demanding customer and partner landscape. Good interpersonal skills with a focus on listening and questioning skills

Nice to have

• Understanding of various data formats like XML, HL7, CCDA
• Experience in R and/or Python scripting

Qualification

• Graduate or equivalent qualification with experience in recognized, global IT services / consulting companies in the healthcare domain

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.