EHR Data Analyst at MASS GENERAL BRIGHAM INCORPORATED

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

07 Feb, 26

Salary

90750.0

Posted On

09 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Extraction, Data Analysis, Data Visualization, Python, R, Healthcare Data, EHRs, Claims, Dashboards, Data Quality, HIPAA Compliance, Analytical Thinking, Problem-Solving, Communication Skills, Time Management

Industry

Hospitals and Health Care

Description

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 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, 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 1-2 years experience extracting healthcare EMR data using SQL highly preferred Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Health Informatics, or a related field. Minimum of 2 years of experience in a data analyst or similar role, preferably in a healthcare or clinical research setting. 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 Work Shift Day (United States of America) Pay Range $62,400.00 - $90,750.40/Annual Grade 6 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: Mass General Brigham Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline. Combat disease. Hold a hand. Help people. Impact the world. Mass General Brigham is a passionate, welcoming community where minds meet caring hearts. Come be a part of the world’s most powerful force in medicine, where every role is important in changing lives. Are you ready? Our history includes New England hospitals founded over 200 years ago, some of the first and most prestigious hospitals in the world. Built on the legacy of two leading academic medical centers, we’re more than a system—we’re leaders in the practice of medicine. Mass General Brigham is committed to serving the community. We are dedicated to enhancing patient care, teaching and research, and taking a leadership role as an integrated health care system. We recognize that increasing value and continuously improving quality are essential to maintaining excellence.

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Responsibilities

The Data Analyst will extract, clean, and analyze large-scale healthcare datasets to support research and operational goals. They will develop data models, dashboards, and reports, and communicate findings through visualizations tailored to various audiences.