Data Analytics Analyst II

Hourly Pay Range:
$34.41 - $53.34 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors.

Position Highlights:

• Position:
  Data Analytics Analyst II
• Location:
  
  Skokie, IL
• Full Time
• Hours:
  
  Monday-Friday, 8:00am - 4:30pm
• Hybrid Position: onsite 1-2x per week, rotating between Corporate locations.

Job Summary:

As the Data Analytics Analyst II at Endeavor Health, you will be responsible for providing analytical support to Endeavor Health's Research Institute (RI) as a whole. This includes gathering, analyzing and reporting on various types of data and communicating results of analysis to research teams, corporate and divisional management. This position will serve as key subject matter expert on Endeavor's data and reporting systems which are out of Epic, Data warehouse, Vizient, Power

BI and other reporting tools for customers at all levels of the organization. Endeavor Research Institute is an established research entity of the organization and is among the most prominent and accomplished research organizations in the nation. It has recently undergone a comprehensive transformation into a scalable research entity comprised of 8 Clinical Research Units (CRU) serving every clinical research need of the organization and inspiring new research ideas among clinicians and scientists serving patients of Endeavor Health.

The Data Analytics research analytics team is positioned under IT and RI as the 9th CRU, called CRU9 and serves all of the research analytics needs of Endeavor.

To be successful in this role, you will be expected to remain updated on the latest solutions and technologies and advocate for the adoption of industry best practices. Our ideal candidate would also have research background, with an additional benefit of having prior exposure to Women's Health Services research.

What you will do:

• Participate in the analytics-based improvement projects that leverage data collected from electronic medical record to measure patient outcomes.
• Gather business requirements by conducting meetings with primary research investigators (PI).
• Produces valuable insights from data and contributes to making evidence-based decisions.
• Design and develop reports, dashboards, and data insights using skills developed using analytics software and programming languages.
• Work with RI scientists and clinicians to analyze data that will help drive decisions on patient centered interventions, compete for new external funding from NIH, NSF, and private sources, support clinical trials with data insights, and help share acquired knowledge from research via journal publications and conference presentations.
• Contribute to drafting and refining research manuscripts, providing input on data analysis and data visualization, contributing to the methods, discussion and results sections, ensuring analysis methods and findings are accurately represented.
• Assist and coach newer researchers on study design, ensuring adherence to best practices.
• Perform data preprocessing, cleaning, and transformation tasks, ensuring datasets are properly structured and ready for analysis.
• Partner with the data science team to conduct in-depth data analysis. Ensure the integrity, accuracy, and consistency of research data throughout the process.
• Act as a data steward, ensuring adherence to data security and privacy guidelines when sharing data with the research teams. Monitor compliance with data protection protocols, ensuring that all data sharing follows organizational policies and regulatory requirements.
• Manage and maintain large datasets, ensuring they are properly stored, organized, and accessible to all research team members. Identify potential issues in data collection or processing and proactively resolve discrepancies or gaps before they impact the research outcomes.
• Work with data warehouse experts to design and develop data engineering requirements in the Enterprise Data Warehouse.
• Utilize data analysis techniques and tools to assess data quality, identify patterns, trends, and anomalies, and generate insights to improve data reliability
• Ensure all developed solutions are tuned to meet acceptable system…