HR Business Data Analyst

at  University of Minnesota

Required Qualifications:

• BA/BS plus at least two years of experience in data analysis, software development, or similar field.
• Proficiency in SQL coding
• Strong information technology analysis and testing methodology experience.

Preferred Qualifications:

• Ability to work quickly but thoroughly to understand and translate data questions and requirements into technical questions for data research
• Strong critical thinking ability including demonstrated skill in approaching problems objectively, drawing conclusions, and developing recommendations
• Ability to train data customers on technical solutions
• Microsoft Excel proficiency
• Mathematics or Finance study or equivalent experience
• Human Resources business process job experience

The University of Minnesota is committed to fostering local talent through employment opportunities. While this position utilizes a predominantly remote work modality, prospective applicants must be located either in the state of Minnesota or near the Wisconsin border or otherwise open to relocation.
Compensation: $70,000 - $77,000 (depends on qualifications)
Location: Hybrid (remote and Twin Cities Campus)
Sponsorship: Please note, we are not offering H-1B or Green Card sponsorship for this position.
The Office of Human Resources (OHR) provides centralized HR services to the University of Minnesota community. Within our HRMS Reporting and Data team, we seek a business data analyst to provide professional-level business intelligence support through coding of complex SQL for data retrieval, utilizing data from the University’s HRMS, Oracle PeopleSoft Human Capital Management. As an HR business data analyst, you will be responsible for intaking data requests and questions, then researching relevant data sources to find answers and provide accurate, timely, documented data solutions to support various aspects of our organization.

Responsibilities:

• Conducts data analysis, interprets data, analyzes results, and communicates results or recommendations.
• Collects, aggregates, analyzes, interprets, and summarizes business,= operations, customer, and economic data from multiple sources.
• Evaluates the business data requirements and develops data visualization to connect the data to the business situation.
• Trains University customers on reporting tools.
• Develops, tests, deploys, and maintains reports and on-demand queries.
• Provides business strategy recommendations for optimizing business performance and refining business policy.
• Identifies and defines process and data improvements.
• Ensures overall compliance and data integrity by conducting audits.
• Recommends and implements solutions to operational problems impacting data as well as data dashboarding and data availability issues.
• Simplifies and documents team processes while continually guiding customers to self-service data tools and enhancing customer knowledge of data.

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.
Additional documents may be attached after application by accessing your “My Job Applications” page and uploading documents in the “My Cover Letters and Attachments” section.
To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu
Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation’s most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America’s Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022)

• Conducts data analysis, interprets data, analyzes results, and communicates results or recommendations.
• Collects, aggregates, analyzes, interprets, and summarizes business,= operations, customer, and economic data from multiple sources.
• Evaluates the business data requirements and develops data visualization to connect the data to the business situation.
• Trains University customers on reporting tools.
• Develops, tests, deploys, and maintains reports and on-demand queries.
• Provides business strategy recommendations for optimizing business performance and refining business policy.
• Identifies and defines process and data improvements.
• Ensures overall compliance and data integrity by conducting audits.
• Recommends and implements solutions to operational problems impacting data as well as data dashboarding and data availability issues.
• Simplifies and documents team processes while continually guiding customers to self-service data tools and enhancing customer knowledge of data