Senior Data Analyst at Mass General Brigham in Somerville, Massachusetts

Posted in Other about 12 hours ago.





Job Description:

About Us:



As a not-for-profit organization, Mass General Brigham is committed to supporting patient care, research, teaching, and service to the community by leading innovation across our system. Founded by Brigham and Women's Hospital and Massachusetts General Hospital, Mass General Brigham supports a complete continuum of care including community and specialty hospitals, a managed care organization, a physician network, community health centers, home care, and other health-related entities. Several of our hospitals are teaching affiliates of Harvard Medical School, and our system is a national leader in biomedical research.


We're focused on a people-first culture for our system's patients and our professional family. That's why we provide our employees with more ways to achieve their potential. Mass General Brigham is committed to aligning our employees' personal aspirations with projects that match their capabilities and creating a culture that empowers our managers to become trusted mentors. We support each member of our team to own their personal development-and we recognize success at every step.


Our employees use the Mass General Brigham values to govern decisions, actions, and behaviors. These values guide how we get our work done: Patients, Affordability, Accountability & Service Commitment, Decisiveness, Innovation & Thoughtful Risk; and how we treat each other: Diversity & Inclusion, Integrity & Respect, Learning, Continuous Improvement & Personal Growth, Teamwork & Collaboration.



The Opportunity:



The Senior Data Analyst, within the Mass General Brigham Office of the Chief Operating Officer is responsible for identifying, querying, analyzing, and visualizing data through reports and presentations, a variety of data to support operations, quality, and performance measurement initiatives throughout the Mass General Brigham Transplant Programs. The Senior Data Analyst will be part of the Enterprise Operations Insights (EOI) team responsible for providing analytics insights to Transplant leadership at various levels within the organization. The position requires close collaboration and dialogue with clinical personnel, various analytic groups, and hospital and system leadership.


The Senior Data Analyst will interface with Transplant Center leaders and program management to provide data-driven direction to their respective teams with a focus on supporting leadership priorities as it relates to quality assurance and process improvement (QAPI), regulatory compliance reporting, business development, financial reporting, and strategic planning. Responsibilities encompass the defining a project scope, analyses, and presenting complex data in a digestible, visually appealing, way.


In addition, the Senior Data Analyst will serve as a resource and role model for other EOI data analysts, sharing best practice methodologies, training other analysts and end-users, and growing the team's wealth of knowledge and documentation. The tools the team uses include Snowflake, DBT, Microsoft SQL Server, Collibra, Tableau, and the Microsoft Office suite. In addition, the Transplant program incorporate external data which is used for managing the transplant and organ donation including OPTN, UNOS and SRTR.



Principal Duties and Responsibilities



1. Elicits data and reporting requirements from hospital leadership, clinicians, and other staff, using interviews, document analysis, requirements workshops, site visits, use cases, scenarios, data analysis, task, and workflow analysis.


2. Queries and analyzes data from hospital systems such as our electronic medical record system (Epic), UNOS, SRTR, and more, to glean meaningful insights and produce actionable reports for the Transplant Program.


3. Presents data and analyses to key stakeholder groups and hospital leadership, including creating materials for and giving presentations as needed.


4. Works with EA and Digital staff in design, maintenance, and distribution of reports while also overseeing ad hoc data analyses and new report development as needed.


5. Works with EA and Digital staff to continually improve our analytical capabilities with SQL, Tableau, and other analytic platforms, which includes but not limited to dashboard and report development, QA of existing reports, and documentation of system functionality.


6. Performs comprehensive quality assurance, ensuring that data and reports meet end user specifications and are accurate and reliable.


7. Works with new and existing EA analysts to share knowledge in methods of data analysis, summarization, and presentation. Trains other analysts and end-users on key analytic and reporting systems and databases.


8. Partner with MGB Digital teams to leverage existing tools, methods, and processes to deliver timely information to operations stakeholders.


9. Effectively recognizes when additional help or guidance is needed and seeks it out proactively.


10. Represents EA on internal and external committees or task forces as needed.


11. Performs all other related duties as required.



Qualifications

1. Bachelor's degree in management, information systems, statistics, or equivalent experience.


2. At least 5-8 years of experience, preferably in a related analytics position.


3. Knowledge of national transplant resources, UNOS, OPTN and SRTR, preferred.


4. Proficiency in relational databases, SQL, data visualization, and Business Intelligence tools such as Tableau.


5. Knowledge and application of statistical analyses including variance analysis and statistical significance preferred.


6. Knowledge of EPIC (Phoenix) Transplant workflows and data structures preferred.


7. Experience with Epic's Clarity, Caboodle, and/or Cogito data models preferred.


8. Project management skills and/or experience a plus.


9. Proficiency with Microsoft Office Suite, including Word, Excel, and PowerPoint.



Skills and Abilities



1. Strong ability to work and communicate effectively with staff at all levels within the organization, including senior hospital management.


2. Experience with querying, manipulating, cleansing, and statistically analyzing large data sets using tools such as SQL Server Management Studio.


3. Strong proficiency with Excel, manipulating large data sets and synthesizing into digestible information, including polished visualizations.


4. Strong experience presenting data through the building of dashboards and reports using business intelligence tools such as Tableau (preferred). With limited input from others, creates data visualizations that are suitable for presentation to senior leaders.


5. Ability to clearly communicate complex and sensitive data to senior executives as well as peers.


6. Strong written and verbal communication skills, with the ability to tailor message to individuals and audiences throughout the institution.


7. Strong organizational skills, with the ability to focus detailed concentrated effort on multiple projects and re-establish priorities as necessary.


8. Possesses initiative and ability to work independently while thriving in a setting requiring collaboration and teamwork for maximal efficiency and effectiveness.


9. Attention to detail that ensures follow through on all initiatives implemented, and all projects undertaken.


10. Ability to effectively respond to time sensitive issues and meet deadlines.



EEO Statement

Mass General Brigham is an Equal Opportunity Employer. By embracing diverse skills, perspectives, and ideas, we choose to lead. 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.


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