Sr Data Analyst

Job Summary This position is a data analyst/programming position for the Cardiovascular Genetics Center and the Amyloidosis Program within the Cardiovascular Division. The primary role of the Sr. Data Analyst will include database creation and improvement, data management, and data cleaning as well as report generation for ongoing clinical epidemiological research projects, including large cohort studies and genetic-epidemiological studies. Key duties include programming (Stata, R, SAS), database creation (REDCap or SQL), data management, data harmonization and cleaning, report design and generation, user interface design, and creation and maintenance of standard operating procedures (SOPs)/documentation. The Data Analyst will oversee the merging and tracking of multiple streams of data, including demographic data, longitudinal cardiac imaging, clinical data, and genomics data, create specific analytic datasets, assist in statistical analyses, provide input on quality improvement processes related to data capture, implementation and oversight, assist with intermediate and final report generation, provide quality assurance monitoring, conduct basic statistical analyses, create visuals (tables and figures) and assist with preparation of manuscripts and grant applications. Patient Care No Responsibilities Collect, clean, and transform large and complex data sets from various sources for analysis. Partner with aligned senior leaders to determine and plan for data analytics/reporting needs of a business unit or functional area(s). Mentor and train other data analysts. Identify trends, correlations, and anomalies in data and provide explanations or recommendations based on findings. Create clear, concise, and visually compelling data visualizations, dashboards, and reports. Present complex data and analytical findings in a meaningful and understandable manner to both technical and non-technical stakeholders. Perform comprehensive quality assurance, ensuring that data and reports meet end-user specifications and are accurate and reliable. Responsible for collecting, analyzing, and interpreting complex data sets to provide actionable insights and support data-driven decision-making. Qualifications Bachelor's Degree in Analysis or a related field of study. Experience in lieu of a degree is acceptable. 5-7 years of experience in data analysis. Strong knowledge of relational databases, SQL, data visualization, and Business Intelligence tools such as Tableau. Strong proficiency with Microsoft Office Suite, including Word, Excel, and PowerPoint. Ability to communicate complex workflows and data to a variety of audiences. Project management skills and/or experience are a plus. Knowledge and application of statistical analyses including variance analysis and statistical significance preferred. Healthcare knowledge, particularly as it pertains to electronic medical record data, is preferred but not required. Additional Job Details Remote type: Hybrid Work Location: 75 Francis Street Scheduled weekly hours: 40 Employee Type: Regular Work Shift Day (United States of America) Pay Range: / Grade 7 EEO Statement 2200 The Brigham and Women's Hospital, Inc. 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 View phone number on click.appcast.io. #J-18808-Ljbffr