FLSA Status

Exempt

Job Role Summary

The Research Data Analyst is part of the team that leads Eskenazi’s data knowledge and development. The Analytics Department provides Eskenazi with reporting within Epic, and other business intelligence tools, and champions data driven decision making. The Research Data Analyst is a vital part of the Analytics Department and has a core focus of using data to help raise health equity in Marion County. Working with the Eskenazi Research Department, and the Eskenazi Social Determinants of Health Department, the Research Data Analysts will be developing analysis of the clinical interventions that are underway within the Eskenazi clinical settings. A successful Research Data Analyst will be passionate about using data to pursue health equity. The Research Data Analyst, in partnership with the Research teams, will present the findings of clinical interventions to various audiences. This position is funded by a 5-year grant for the Regenstrief Center for Health Equity Research. While this will be focused on research interventions, this position will also assist in Eskenazi quality improvement projects regarding health equity. 
 

Essential Functions and Responsibilities

• Proactively contributes to Eskenazi Health’s mission: Advocate, Care, Teach and Serve with special emphasis on the vulnerable population of Marion County.  Models Eskenazi values of P.R.I.D.E. (Professionalism, Respect, Innovation, Development and Excellence)
• Develop reports, components, dashboards, and SlicerDicer sessions in Epic.
• Develop reports and dashboards in additional business intelligence tools. 
• Collaborates with team members to assist with departmental projects, or user requests.
• Collaborates with team members to assist with departmental projects, or user requests.
• Engages fully in the departmental peer review process and adheres to all department policies and procedures relating to building reports.
• Utilizes business intelligence tools and statistical software to analyze and present data.
• Assist end users with business intelligence tools.
• Attends and participates in research team meetings.
• Utilizes statistical software to analyze data. 
• Reviews data quality and uses data cleaning techniques to ensure analysis includes high quality data.
• Assists in writing summaries of data analysis for presentations and publications.
• Provides data analysis knowledge of advanced calculations to other Analytics Data Analysts.

Job Requirements

• Bachelor degree required, preferably in healthcare or business-related field.
• Experience with data governance and data stewardship projects is preferred.
• Experience with Epic, including current Epic certifications is highly preferred.
• At least one year’s experience with data analysis is required, experience in the healthcare industry is highly preferred.
• Ability to obtain Cogito Fundamentals and Cogito Administration Certifications (or the Epic comparable certifications if these change) within six months of hire is required.
• Experience with Power BI, Tableau, SAP Analytics Cloud, or other business intelligence tools (outside of Excel) is preferred and required if candidate does not have Epic Cogito certifications. Eskenazi currently utilizes Power BI and SAP Analytics Cloud.
• Foundational knowledge of database structures is required. 
• Ability to read and understand SQL code is required. Ability to write code is preferred.
• At least one year’s experience using statistical software, such as R, Python, and SAS, to create visualizations of data analysis is required.

Knowledge, Skills & Abilities

• Deep understanding of Eskenazi Health or healthcare clinical and operational workflows in general.
• Ability to lead meetings with users of varying technical and data understanding.
• Demonstrates strong communication and interpersonal skills.
• Ability to probe for information about the underlying needs for a report request.
• Ability to analyse data and assist with identifying ways to measure key performance indicators.
• Demonstrates knowledge and skill with Eskenazi business intelligence software and promotes continued learning.
• Actively promotes business intelligence software within Eskenazi Health.
• Knowledge of, and experience working with, disadvantaged and minority populations.