Sr. Electronic Health Record Data Analyst

Access•Peabody, MA

About The Position

We are looking for an EHR Data Analyst -Team Lead with strong expertise in EHR/EMR systems (Epic, Athena Health, Cerner, Meditech, Allscripts, etc.) as well as data analysis tools and databases. As a Team Lead, you would be both an individual contributor and a guide to a team of international EHR Data Analysts (locations of TMs could change but are likely US and India).The role involves analysing and migrating healthcare data (SQL, HL7, CCDA, CSV), ensuring accuracy, compliance, and data integrity throughout the conversion process. You will work with stakeholders to gather requirements, map and validate data, resolve data issues, and document processes. You will work with Product and Engineering teams to continually evolve our products and services. Strong knowledge of healthcare standards, HIPAA compliance, and prior experience in EHR conversions are essential.

Requirements

2+ years of experience of coaching and mentoring junior team members
5+ years of experience working with healthcare data
5+ years of experience working with EHRs/EMRs
Fluent in English with strong verbal and written communication skills
High technical proficiency with database concepts such as tables, fields, keys, indexes, normalization, etc., required
Knowledge of data privacy (HIPAA), retention policies and best practices for archiving healthcare records.
Prior involvement in EHR/EMR conversions
Experience working with the HL7 standard
Familiarity with a variety of database types and interfaces (MS SQL Server, Oracle, various text formats, EDI, HL7 )
Direct experience in bridging the gap between end user requirements and technology solutions
Bachelor’s degree in computer science, data science, or similar field
Advanced proficiency with relational databases, noSQL databases, and other data stores
Hands-on experience with EHR/EMR systems (Epic, Athenahealth, Cerner, Meditech, Allscripts, etc.)
Strong knowledge of healthcare data standards: HL7, CCDA/CDA, CSV, hierarchical databases
Data mapping and conversion expertise across EHRs
Data reconciliation and validation techniques: row counts, checksums, hashes, record sampling, automated quality checks
Experience with data governance practices, PHI classification, HIPAA compliance, and de-identification/masking
Familiarity with healthcare terminology and industry standards
Proficiency in handling structured and unstructured data across formats (SQL, Oracle, EDI, text files)
Strong documentation skills for technical and business processes
Leadership and Accountability
Communication
Stakeholder Collaboration
Analytical & Problem-Solving Skills
Continuous learning
Ability to work on multiple, customer projects at the same time

Nice To Haves

Healthcare-related certification(s): CDIP, RHIA/RHIT, Certified Health Data Analyst (CHDA) or equivalent — helpful but not required.

Responsibilities

This is a hands-on position working with healthcare customer data to complete data migration, conversion, and archival projects. Customer satisfaction is a must.
Analyze healthcare data using common data analysis tools, ETL tools, and data visualization tools
Be proficient with SQL (relational database), hierarchical database, CSV, HL7, CCDA formats for extraction, transformation, and import
Have experience in one or more EHR like Athena health, Epic, Meditech, Cerner, Allscripts etc.
Be familiar with the terminology and standards in the healthcare industry, especially as it related to EHR, such as SNOMED, ICD-10, etc..
Have an excellent understanding of master data mapping between EHRs, including common industry coding systems
Facilitate meetings with multiple internal and external stakeholders to gather requirements, identify data conversion needs, provide ongoing updates, and ensure high customer satisfaction
Will perform peer reviews on data conversion work, verify data integrity and identify data cleanliness issues and reconcile converted data to ensure accuracy
Parse, validate and normalize healthcare messaging and document standards (SQL,HL7,CCDA/CDA), and ensure clinical data fidelity during conversions.
Perform reconciliation and validation between source and target/archive: row counts, checksums/hashes, key metrics, record sampling, and automated data quality tests. Document and triage data issues with stakeholders
Support data governance: classify PHI, apply de-identification/masking when required, and ensure compliance with retention, privacy and audit requirements.
Develop and update technical and business process documentation for data conversions (internal and customer-facing)
Partner with Product and Engineering organizations to continually evolve our products and services based on real-world experience
Lead and participate in informal internal training as part of ongoing team improvement
Be a champion of quality and performance for the team, positively encouraging growth of each member, coaching and mentoring
Be accountable for results