Data Management Technician

University of Texas at Austin•Austin, TX

7d•Onsite

About The Position

The Department of Psychiatry and Behavioral Sciences at Dell Medical School is seeking a Data Management Technician to support mental health programs and initiatives developed through the Texas Child Mental Health Care Consortium. The programs focus on improving the quality and accessibility of mental health care for children and adolescents across Texas. The role supports the Child Psychiatry Access Network (CPAN) and Perinatal Psychiatry Access Network (PeriPAN), which provide primary care and OB/GYN providers with timely access to psychiatric consultation for pediatric and perinatal patients experiencing mental health challenges. Reporting to the Senior Data Analyst, the technician performs professional-level scientific and technical assignments supporting research and program evaluation. The position implements data management strategies, collects and analyzes data, and develops workflows and visualizations to inform decisions across behavioral health initiatives. It collaborates with interdisciplinary teams to maintain data accuracy, consistency, and usability and contributes to technical reports and presentations for internal and external stakeholders. This is a state-funded position expected to continue until August 31, 2027, and may be renewed depending on funding availability, work performance, and progress toward goals. The role is scheduled for 40 hours per week and is based in Austin, Texas. The salary starts at $47,362, depending on qualifications.

Requirements

Bachelor's degree in Data Science, Mathematics, Information Sciences, Public Health, or a related discipline.
At least 2 years of experience in data management and working with large datasets.
Proficiency in a data management platform such as MS Excel, including Google Sheets, advanced functions, and Pivot Tables.
Experience with dashboard tools such as MS PowerBI or Tableau.
Experience applying data management and security protocols.
Skills in quantitative analysis, data visualization, and presenting findings to varied audiences.

Nice To Haves

Experience in Data Science, Mathematics, Information Sciences, Public Health, or a related research- or data-centered field.
Experience with Python.
Experience with Apps Script or JavaScript.
Experience with formal data reporting, such as presenting scientific findings to a non-technical audience.
Proficiency in data dashboard tools such as MS PowerBI or Tableau.
Preferred certifications: Registered Health Information Technician (RHIT), Certified Health Data Analyst (CHDA), or CompTIA Data+ or similar IT certification.

Responsibilities

Refine and develop procedures, workflows, and tools for data collection and management.
Collect program data from multiple sources and ensure its accuracy, consistency, and completeness.
Work with electronic health record and related systems, including Trayt, Athena, 8x8, Welnity, REDCap, and Salesforce.
Compile, clean, and manage data across platforms using tools such as Google Sheets, MS Excel, Power Query, and Smartsheet.
Apply data privacy and security measures, including managing user privileges and dashboard access.
Create tables, graphs, charts, and other data visualizations.
Develop and manage MS PowerBI dashboards, including regular updates and access permissions.
Identify dashboard audiences and relevant metrics and translate data and findings into formats suitable for non-technical audiences.
Lead discussions about data updates and management processes with internal and external stakeholders.
Collaborate with team members to identify and fulfill data needs.
Recommend data-driven solutions and present findings to leadership and other stakeholders in meetings and reports.
Support the creation and timely submission of data reports and related documents.
Conduct quality control of report metrics and underlying datasets.
Prepare and manipulate data for analysis and visualization.
Present findings monthly, quarterly, and annually to various audiences.
Develop, troubleshoot, and streamline data operations and spreadsheet workflows.
Conduct data validation and fulfill recurring and ad hoc internal and external data requests.
Assist in onboarding new staff with data system training.
Participate in system upgrades and migrations and contribute to special projects involving data integration or analytics.
Attend professional development workshops and training sessions and perform related duties as required.
Diagnose data inconsistencies across systems, design workflows to streamline processing, and resolve multi-source data conflicts.
Track and report data quality metrics, maintain transparent audit trails, and follow up on unresolved data issues.
Implement and evaluate data management, analysis, and visualization tools and learn and apply EHR system updates.
Explain data issues to non-technical team members, document procedures, and present findings accessibly.
Coordinate with HIM and IT teams, participate in cross-functional projects, and share best practices.
Maintain performance during system outages, adapt to shifting priorities, and improve processes based on data errors.
Streamline data entry, automate routine reporting tasks, and identify bottlenecks in data flow.