Yale New Haven Health System Hiring For Health Equity Data Analyst at New Haven, CT, United States Full Time

Job Description

Overview: To be part of our organization, every employee should understand and share in the YNHHS Vision, support our Mission, and live our Values. These values – integrity, patient-centered, respect, accountability, and compassion – must guide what we do, as individuals and professionals, every day.

: The Yale New Haven Health System (YNHHS) Office of Health Equity and Community Advancement Health Equity Data Analyst is experienced in working with healthcare data. Primary functions of this role include analyzing patient, community and population health data, synthesizing data from internal and external resources, oversight for race, ethnicity and language data collection analysis and other patient demographic data, delivering summarized data for reports and presentations, contributing to leadership meetings, supporting strategic planning activities, grant applications and program evaluation and community impact measurement. The incumbent must have independent problem solving skills, and the ability to work collaboratively in a team environment across YNHHS departments.

EEO/AA/Disability/Veteran Responsibilities:

• 1. Uses knowledge of statistics and programming to analyze quantitative and qualitative data from the Epic medical record system, YNHHS data warehouses, surveys, and external Community Based Organizations and governmental data resources.
  2. Translates best practice community-based research through various equity lenses in order to identify and track disparities.
  3. Supports the Office with ongoing efforts to improve the collection of patient race, ethnicity, language, and sexual orientation/gender identity (SOGI), and other data relevant to the social drivers of health.
  4. Performs and summarizes web-based research; conducts environmental scans, and original data collection to inform deliverables.
  5. Assist with the development of data capture forms, data capture instructions and data analyses.
  6. Assist with data gathering, survey instrument development, and execution of health equity assessments.
  7. Support data quality and control activities, including clarifying guidance, correcting errors and refining instructions.
  8. Participate in problem-solving discussions with internal stakeholders (e.g. researchers and clinicians) to determine clinically- and scientifically- sound approaches.
  9. Understand how to identify system issues and major pain points in various workflows by contributing to the development of templates and tools to address these challenges.
  10. Coordinate and respond to data analytic requests, and provide assistance on report design pertaining to various health equity, community health, and SDOH programs and grant opportunities.
  11. Support the design of community impact measurement strategies
  12. Update standard reports and dashboards for leadership audiences and use.
  13. Assists with the Office?s data security in compliance with Yale-New Haven Hospital/Health System, Yale University and funding agency policies.
  14. Supports technical writing for grants and contract documents, reports and manuscripts.
  15. Interfaces with other individuals internally and externally to achieve the Office?s project objectives.

Qualifications:

EDUCATION
Bachelor?s degree or higher in computer science, business, economics, mathematics, statistics, public policy, public health, biostatistics, or other related fields. Formal training in health services research methods is preferred.
EXPERIENCE
2+ years? experience and relevant competencies in statistical analysis of health outcomes research data, computer science, operations research, statistics or other relevant field. 2+ years of SAS or SQL programming experience working with complex datasets. 1+ years? experience with Python and R. 1+ years? experience with Tableau and Power BI. Familiarity with EMR systems.
LICENSURE
N/A
SPECIAL SKILLS
Statistics and SAS programming skills. Ability to work in large data sets from multiple data sources. Ability to create a wide variety of output, reports, and delivery files. A working knowledge of database principles, processes, technologies and tools. Ability and experience to perform data analysis and statistical analysis (e.g., ANOVA, regression analysis, propensity-score matched cohort analysis) with an emphasis on data conversion. Comfortable with data validation, processing, and maintenance tasks. Ability to synthesize and summarize large amounts of information and to focus quickly on the essence of an issue. Working knowledge of computer software to support research project(s). Well-developed oral and written communication, statistical, organizational, and analytical skills that including the ability to bring applied knowledge to analytic questions. Ability to work in a matrixed environment. Possesses a strong social justice perspective and demonstrated understanding of health equity and the structural drivers of health that impact marginalized communities.