Enterprise Data & Applications Specialist

University of Dubuque; Dubuque (IA); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Tuition remission

Paid holidays

Vacation and sick time

Retirement match

Job summary

The University of Dubuque is seeking an Enterprise Application and Data Services Specialist to optimize data quality, support system integrations, and improve reporting and analytics across campus.

You will collaborate with departments, write and maintain SQL procedures, develop reports with Power BI and SSRS, and drive data-driven process improvements to help faculty and staff focus on students.

Qualifications

• Undergraduate degree required; Computer emphasis preferred or related business experience.
• Experience using report writers, preferably SQL Server Reporting Services and Power BI.
• Strong understanding and experience of relational database applications.
• Experience with TSQL in developing SQL scripts, procedures and functions.

Responsibilities

• Identify, develop and correct procedures for monitoring accuracy and quality of data.
• Work with stakeholders to educate, assist and update data and processes.
• Write and maintain stored procedures and functions to extract, transform and report on data.
• Provide recommendations and technical expertise regarding the use of all University systems and the data within said systems.
• Design, develop and generate reports to meet the needs of users across campus in a timely, efficient and accurate manner.

Skills

Strong technical aptitude

Analytical skills

Project management

Communication skills

Team collaboration

Education

Bachelor's degree

Tools

SQL Server

Power BI

SSRS

T-SQL

Job description

The University of Dubuque is seeking an Enterprise Application and Data Services Specialist to optimize data quality, support system integrations, and improve reporting and analytics across campus.

You will collaborate with departments, write and maintain SQL procedures, develop reports with Power BI and SSRS, and drive data-driven process improvements to help faculty and staff focus on students.