Josh Aragon
About Josh Aragon
Josh Aragon is a Provider Data Manager with extensive experience in data analysis and quality assurance across various companies. He has worked in roles such as Data Analyst and Customer Experience Analyst, and he is skilled in multiple data analysis tools.
Current Role as Provider Data Manager
Josh Aragon currently serves as a Provider Data Manager at Intermountain Health, a position he has held since 2023. In this role, he is responsible for managing provider data, ensuring its accuracy and integrity. His work involves overseeing data quality initiatives and implementing processes to enhance data management practices within the organization.
Experience at Intermountain Health
Prior to his current role, Josh Aragon worked as a Data Analyst at Intermountain Health from 2017 to 2023. During this six-year tenure, he focused on data analysis, reporting, and process improvement. His contributions helped streamline data processes and improve the overall quality of data used within the organization.
Professional Background in Data Analysis
Josh Aragon has over nine years of experience in data analysis, reporting, and process improvement. His career includes positions at various organizations, such as SquareTwo Financial, where he worked as a Business Insights Analyst from 2014 to 2017, and MoneyGram International, where he held multiple roles, including Customer Experience Analyst and Data Analyst.
Educational Background
Josh Aragon studied at the University of Northern Colorado, where he earned a Bachelor of Arts in Philosophy. His academic background has contributed to his analytical skills and problem-solving abilities, which he applies in his professional roles.
Technical Skills and Expertise
Josh possesses a range of technical skills that enhance his capabilities in data management and analysis. He is proficient in tools such as Tableau, SQL, Excel, Power BI, Access, KNIME Analytics, Crystal Reports, SAP BusinessObjects, and NICE Speech Analytics. His expertise allows him to effectively identify and resolve data quality issues and transform data for various analytical purposes.