Computer Support Specialists (On-site)

HEPCO
Albany, NY, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$52,000.0 - $62,400.0
Working hours
Regular working hours

Tech stack

Microsoft Access Microsoft Excel Adaptable Database Systems Data Analysis Databases R (Programming Language) Python (Programming Language) Microsoft Office Microsoft SharePoint SQL Databases Tableau (Software) Data Management

Job description

Our client is seeking a dependable, detail-oriented Computer Support Specialist to assist with data analysis, database maintenance, and general computer support. The ideal candidate can learn new processes quickly and manage changing priorities in a fast-paced, high-volume office environment.

  • Analyze data and create and maintain data dictionaries.
  • Run and maintain data pipeline processes.
  • Map existing databases and perform routine database maintenance as directed.
  • Provide general computer support.
  • Provide training and support to staff, providers, and consumers.
  • Manage changing assignments, deadlines, and priorities.

Requirements

Database Administration, Data Analysis, Detail Oriented, Data Management, Sales Pipeline, Training/Teaching, Time Management, High School Diploma, Microsoft Office, Microsoft Excel, * High school diploma or equivalent.

  • At least two years of experience in a professional IT setting.
  • Excellent working knowledge of Microsoft Office, specifically Excel, SharePoint, and Access.
  • Ability to enter data into and extract data from electronic databases.
  • Knowledge of complex databases and the ability to learn new processes quickly and efficiently.
  • Ability to work independently and as part of a team.
  • Ability to manage multiple, shifting priorities.

Preferred Qualifications:

  • Certification in Microsoft Office products.
  • Experience creating, maintaining, and mapping databases.
  • Experience with SQL, Python, R, or Tableau.

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