Job Title: Computer Support Specialist
Location: Albany, NY
Type: Full-Time / New York State Agency Contract
Position Summary
Penda Aiken Inc. is a staffing firm located in Brooklyn, New York. Our client is a New York State Agency seeking a dependable, detail-oriented Computer Support Specialist to join their team.
This role combines general IT support and user training with technical database functions, data pipeline management, and data analysis. The ideal candidate will thrive in a fast-paced environment, possess strong interpersonal skills, and have the ability to adapt as priorities change.
Primary Responsibilities
Data Management & Pipelines: Run and maintain data pipeline processes, create and maintain data dictionaries, and map existing databases.
Database Maintenance & Analysis: Perform routine database maintenance as directed, extract and enter electronic data, and provide data analysis to support program functions.
User Support & Training: Deliver general computer support, technical assistance, and training for Department of Health staff, providers, and consumers.
Process Optimization: Learn new technical processes quickly to support complex databases and evolving agency needs.
Communication & Collaboration: Work independently and collaboratively with diverse team members and communicate effectively with internal and external stakeholders.
Minimum Qualifications
Education: High school diploma or equivalent.
Experience: Minimum of two (2) years of experience working in a professional IT-based setting.
Technical Skills: Excellent working knowledge of Microsoft Office Suite (specifically Excel, SharePoint, and Access) and proficiency in entering and extracting data from electronic databases.
Core Attributes: Ability to multitask, manage shifting priorities, work both independently and within teams, and communicate clearly with diverse personalities.
Preferred Qualifications
Certification in Microsoft Office products.
Experience creating, maintaining, and mapping databases.
Hands-on experience with technical analytics and database tools such as SQL, Python, R, or Tableau.