Job Description

Join Hastings College as a Systems Analyst and drive the development and optimization of cutting-edge systems solutions. If you're passionate about technology and seek a dynamic role in a collaborative environment, this is the opportunity for you.

Our benefits package is not just great, it is outstanding! Our commitment to flexibility and work-life balance starts with generous holidays, 3 weeks paid vacation, and ample paid sick time. Our tuition remission is perfect for life long learners as well as those who have direct family members that can benefit from the program!

While we value the benefits of hybrid work, we are seeking an individual who can be primarily on-site at our Hastings College campus. To ensure a successful onboarding experience, the selected candidate will be expected to work fully on-site for the first 3 months. After this initial period, a hybrid work schedule may be possible to support a successful work-life balance.

Job Summary:

Develop, optimize, and maintain SQL code and PowerShell scripts for efficient system automation.
Engineer ETL processes for seamless data transformation and integration.
Create and manage operational reports using BI platforms to ensure data integrity.
Provide essential support for vendor software updates, documenting system architecture changes.
Serve as a technical liaison, troubleshooting vendor package issues and facilitating communication.
Interpret user requirements, offer technical support, and maintain strong business metric understanding.
Collaborate with vendors, adapt to new technologies, and represent the institution professionally.


Education & Experience:

Bachelor's degree from four-year college or university in computer science, information systems, operations research, or a related field and at least two years of related experience; or equivalent combination of education and experience.

Experience working with T-SQL, MySQL, or other query language required. Experience with the following is desired: SSRS, SQL Integration Services, Azure Data Factory, MSSQL Databases, PowerShell, Python, or PowerBI.