Computer Support Specialist
PENDA AIKEN INC
Albany, United States of America
7 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Remote
Albany, United States of America
Tech stack
Microsoft Access
Microsoft Excel
Analysis of Variance (ANOVA)
Microsoft Outlook
Databases
Data Architecture
Data Dictionary
Digital Assets
R
Python
Microsoft Office
SharePoint
SQL Databases
Tableau
Data Lake
Information Technology
Data Pipelines
Job description
We are seeking a detail-oriented Computer Support Specialist to join the Center for Data Architecture, Intelligence & Support (DAIS). This role is critical to the New York State COVID-19 response and the broader management of Long-Term Care (LTC) data. You will serve as the bridge between complex data pipelines and non-technical staff, ensuring that data assets are maintained, documented, and accessible for high-priority healthcare analysis., * Data Pipeline Management: Run and maintain data pipelines feeding the OALTC Data Lake; perform routine database maintenance and variance analysis to validate COVID-19 statistics.
- Technical Documentation: Create and maintain comprehensive data dictionaries, research data assets, and map existing databases to ensure organizational clarity.
- Liaison & IT Support: Coordinate with ITS to manage hardware/software installations for DAIS employees and troubleshoot device-specific issues.
- Reporting & Analysis: Consolidate ad hoc reports to help DOH staff prioritize facility surveys and follow-ups.
- Staff Empowerment: Act as a technical trainer, guiding DOH staff, providers, and consumers on data tools, best practices, and software navigation.
Requirements
- Required: Excellent working knowledge of Microsoft Office (Access, Excel, SharePoint, Outlook).
- Soft Skills: Ability to explain "technical speak" to non-IT individuals; highly organized with the ability to work independently.
- Preferred Education: Bachelor's Degree in Information Technology, Data Science, or a related field.
- Technical Plus: Experience with SQL, Python, R, or Tableau is highly desirable.
- Industry Experience: Previous experience creating data dictionaries or working in complex database environments.