Oracle Health Government Services | EHR Support Integration & Management  

 

Overview:  

The Data Analyst is responsible for gathering data from various data sources to produce reporting frameworks that are used to track efficiency of support teams, inform business leaders, and alert the business when critical metrics are failing. As a data analyst, you will transform raw data into structured information, analyze and gather insights that drive strategic business decisions.

 

Roles and Responsibilities 

 

Gather data from various data sets into consumable reports, ensuring the data is accurate and useful. Detect, examine, and decode trends or patterns within the data to drive business decisions. Cleanse data and scrutinize reports and outputs, uncovering and correcting errors in the data. Coordinate with leaders across support organizations to align on Service Level Agreements (SLA) and Service Level Objectives (SLO) Coordinate with owners of data sources to resolve data inconsistencies, data improvements to data, and to ensure access to data is uninterrupted.  Perform daily and/or weekly review of data ensuring accuracy and business needs are met. Understand EHRM support processes against various data sets to uncover gaps and opportunities for improvement  Develop dashboards, charts, trends and support business goals and decisions. Convey results using both reports and visual presentations.

 

Common Daily, Weekly, and Monthly Tasks (list is not all inclusive) 

 

Deliver weekly ticket extract and report to client. Deliver daily/weekly user access reports to client. Scrub data daily to ensure processes are being followed. Join internal and external meetings as required to support report delivery and data collection. Assist with monthly data collection for Monthly Progress Reporting (MPR). Update leadership reports daily, weekly, or monthly as prescribed by the leadership. Troubleshoot and resolve data errors and report discrepancies.  Pull ad-hoc reports and extracts for leadership as needed.  Participate in case management activities, e.g., review tickets that have incomplete details, tickets that were closed incorrectly, etc.