Business Intelligence Analyst

UIOWA • Iowa City, IA

11d • Hybrid

About The Position

The College of Liberal Arts and Sciences (CLAS) is seeking a Business Intelligence Analyst Primary duties are to develop data visualizations, extracts and transforms to assist in strategic and operational decision making by administration, faculty and staff in the College of Liberal arts and Sciences , utilizing institutional and localized datasources in a sustainable fashion. Create documentation for use by end users, technical support and data stewards. Apply best practices in data visualization and data design. Analyze data used in solutions and verify as appropriate and correct. This position may be eligible for hybrid work within Iowa after onboarding is complete and will require a work arrangement form to be completed upon the start of your employment. Per policy, work arrangements will be reviewed annually and must comply with the remote work program and related policies and employee travel policy when working at a remote location .

Requirements

• Bachelor’s degree in a related field or an equivalent combination of education and experience is required.
• Academic or Professional related experience designing, developing and maintaining data driven solutions in a secure, professional environment.
• Basic skills with relational database design theory and SQL query languages.
• Demonstrated experience working with a common relational database platform.
• Ability to communicate effectively and accurately, both orally and in writing, with technical and non-technical staff.
• Basic knowledge of data visualization design and best practices.
• In order to be considered for an interview, applicants must upload the following documents and mark them as a "Relevant File" to the submission. Resume Cover Letter
• Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check and credential/education verification.
• Up to 5 professional references will be requested at a later step in the recruitment process.
• Please note that this position is not eligible for visa sponsorship in the United States.

Nice To Haves

• Demonstrable knowledge of object-oriented programming and design principles.
• Experience with MVC programming frameworks such as CodeIgniter, .NET MVC, Angular, React.
• Familiarity with software development best practices such as source code control, issue tracking, testing using Jira, Git or similar technologies.
• Familiarity with agile software development methodology.
• Familiarity with software development best practices such as source code control, issue tracking, testing, etc.

Responsibilities

• Collaborate with internal customers/ stakeholders to define and document data, analytics and modeling requirements.
• Provide first tier end user support and training for data solutions and platforms.
• Assist in design, implementation, and provisioning of data solutions via modeling, schema development, ETL and data quality processes.
• Document data sources, transformations, and models for visualization and data movement solutions.
• Collaborate with other subject matter/data experts and stewards in the college and institution to advance knowledge.
• Problem solve, investigate, and explain data discrepancies.
• Assist in the preparation, cleansing, and verification of data.
• Provide intuitive data solutions by simplifying the accessibility of complex analytics within solution tools.

Benefits

• Regular salaried position.
• Fringe benefit package including paid vacation; sick leave; health, dental, life and disability insurance options; and generous employer contributions into retirement plans.
• Enjoy exceptional health coverage, university-paid life insurance, robust retirement plans, and generous leave policies.
• Benefit from 24/7 support services, well-being resources, and access to UI Health Care specialists.
• Grow professionally with advanced training, leadership development, and tuition assistance.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees