EHR Data Analyst

Site: Mass General Brigham Incorporated

 

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

 

 

Job Summary

The Opportunity

Join a skilled team to help impact MGB's data and transform complex healthcare data into actionable insights!

• Full Time
• Comprehensive Benefits
• PTO accrues day 1
• Hybrid Working Model

We are looking for those who have experience working with EHR systems, healthcare data is highly preferred for this role. Data Analyst experience 2-3 years required

The Hospital Integrated Research Organization (HIRO) at Mass General Brigham is a strategic, data-driven initiative focused on streamlining industry-sponsored research and generating high-quality real-world evidence (RWE). We are seeking a highly motivated and detail-oriented Data Analyst to join our team. This teammate will play a key role in supporting HIRO’s RWE initiatives by transforming complex healthcare data into actionable insights.

The ideal candidate is passionate about healthcare data and analytics, thrives in a collaborative and fast-paced environment, and brings a strong blend of technical expertise and communication skills. Reporting to the Director of Data Science and Analytics (DSA), the Data Analyst will work cross-functionally to support research and operational goals through data extraction, analysis, and visualization.

 

Qualifications

Key Responsibilities

• Extract, clean, and analyze large-scale healthcare datasets from diverse sources (e.g., EHRs, pharmacy data, claims, registries).
• Ensure data quality, integrity, privacy, and security in compliance with HIPAA and institutional policies.
• Develop and maintain data models, dashboards, and reports to support research and operational decision-making.
• Identify trends, patterns, and anomalies to generate actionable insights.
• Conduct ad hoc analyses and respond to data requests from internal stakeholders.
• Communicate findings clearly through visualizations and presentations tailored to both technical and non-technical audiences.
• Collaborate with cross-functional teams to support data-driven strategies and initiatives.
• Stay current with healthcare data standards, analytics tools, and industry best practices.

Qualifications

• At least 2 years of experience in a data analyst or similar role, preferably in a healthcare or clinical research setting.

• 1-2 years experience extracting healthcare EMR data using SQL

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Health Informatics, or a related field.

• Strong SQL skills required for data extraction, transformation, and reporting. Candidates must demonstrate advanced proficiency in writing, optimizing, and troubleshooting complex queries, with working familiarity with SQL Server environments.
• Proficiency in at least one analytical programming language such as Python or R.
• Experience working with healthcare data (e.g., EHRs, claims, registries); familiarity with data standards such as OMOP is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Advanced proficiency in Microsoft Office tools, including Excel, PowerPoint, and Word.
• Strong analytical thinking, attention to detail, and problem-solving skills.
• Excellent organizational and time management abilities; capable of managing multiple priorities in a fast-paced environment.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively within a team-based structure.

 

Additional Job Details (if applicable)

Working Model

• M-F Eastern Business Hours required

• Hybrid Onsite Flexible working model required weekly includes onsite in office (1-2 days per week weekly, must be flexible for business needs)

• Remote working days require stable, secure, quiet, compliant working station using MGB issued equipment, including use of Teams Video

 

Remote Type

Hybrid

 

Work Location

399 Revolution Drive

 

Scheduled Weekly Hours

40

 

Employee Type

Regular

 

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