The University of St. Thomas invites qualified candidates to apply for a Data Analyst position within the Information Technology Services.
The University of St. Thomas embraces diversity, inclusion, and equal opportunity for all. Our convictions of dignity, diversity and personal attention call us to embody and champion a diverse, equitable and inclusive environment. We welcome applicants of diverse races, ethnicities, geographic origins, gender identities, ages, socioeconomic backgrounds, sexual orientations, religions, work experience, physical and intellectual abilities, and financial means. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. This commitment is consistent with our mission to inspire our students, using the Catholic intellectual tradition, to think critically, work skillfully, and act wisely – all for the common good. A successful candidate will possess a commitment to the ideals of this mission.
JOIN OUR COMMUNITY
The University of St. Thomas offers a competitive and comprehensive benefits program, which includes:
Up to 100% tuition remission for employees, spouses, and dependents upon eligibility
A generous Employer retirement contribution of 9.4% of annual salary upon eligibility
Medical, dental, and vision options
Employer-paid disability, life, and AD&D benefits
The Data Analyst will focus on understanding, extracting, and analyzing data to solve campus partners business problems and help build a culture of data-driven decision making. This includes conducting full project lifecycle analysis (requirements, data compiling, modeling, visualization, and presentation) with a vast number of campus partners. Report creation is also an area of focus for this position utilizing stagnant and interactive reporting tools. This position offers great opportunity to grow and explore new tools and be part of an evolving data and analytics environment at the University!
The incumbent must have proven data analytics experience utilizing data methodologies and tools to increase efficiency and effectiveness in a business. This requires a strong partnership with business partners and stakeholders to identify opportunities to utilize data through predictive and prescriptive analytics. This role needs an individual with strong technical skills, curiosity to learn new business processes, passion for continuous learning, great communication and customer service skills, as well as strong attention to detail.
1. Analytics – Explore, understand, and interpret data using statistical techniques that cover all four main analytical areas . Use data and storytelling to grow an environment of data-driven decision making. Assist in the exploration and implementation of new and existing data analytic tools and techniques that will improve the data environment at the University and help toward the goals of ITS at large. Ensure all analytical processes and methods are documented thoroughly and approached in a systematic vs manual way.
2. Data, Reporting, and Visualization: Ensure top data management strategies are being used for high data consistency, transparency, and quality. Validate data and results with fellow team members. Complete reporting and visualizations in collaboration with projects in the pipeline and the needs of our clients. Assist in the exploration of expanding our interactive and self-service reporting and visualization tools.
3. Partnership/Customer Service: Provide top customer service and be a trusting partner in working to solve University business problems using data, analytics, and reporting. Collaborate with other members of the Registrar, Enterprise Data & Services team and ITS at large to ensure customers receive information necessary to complete their tasks and achieve their yearly goals.
4. Teamwork: Serve as a resource and backup for other members of the office, contribute to ongoing office activities through data extraction and troubleshooting. Complete other duties as assigned by the Director of Data, Analytics, and Reporting.
Bachelor’s degree in Computer Science, Business Analytics, Software Engineering, or related field
Three (3) years of professional experience with data analysis, reporting, or data management
Proven experience utilizing data methodologies and tools to increase efficiency and effectiveness in a business through data exploration, extraction, analysis, or management
Experience with SQL or a similar kind of programming language
Completed or pursuing Masters degree in Computer Science, Data Science, Business Analytics or related field
Knowledge of: Oracle based environment, statistical tools (Python, R, Excel, etc.), Machine Learning/Deep Learning techniques, AWS methodologies and offerings (Data storage, Containers, Instance spin-ups, etc.)
An equivalent combination of education and experience from which comparable knowledge and skills have been acquired may be substituted.
HOW TO APPLY
On the University of St. Thomas Jobs page, follow the instructions to complete an online application which includes uploading a resume and copy/pasting a job specific cover letter.
In light of its commitment to create and maintain a safe learning and working environment, employment with the University of St. Thomas requires consent and successful completion of a background screening.
The University of St. Thomas, Minnesota Human Resources Department advertises the official job listing on its website at www.stthomas.edu/jobs.