Business Intelligence & Data Analyst

ScienceJobs.Org
Minneapolis, MN, United States
2 days ago
Apply on sciencejobs.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Business Analytics Applications Data Analysis Business Logic Cloud Computing Software Documentation Computer Programming Data Files Extract Transform Load (ETL) Data Warehousing Relational Databases Database Queries Oracle Business Intelligence Enterprise Edition
+6 more
Query Optimization Technical Data Management Systems Test Scripts Indexer Oracle Service Cloud Information Technology

Job description

Please note, this position is not eligible for H-1B or Green Card sponsorship. This position does not offer a STEM OPT training program.

This position serves as a Business Intelligence & Data Analyst (Business Intelligence Developer 2). This role works within our student data team to design, develop, deploy and support reports and data warehouse solutions mainly in our Oracle Business Intelligence Enterprise Edition (OBIEE) and Oracle Analytics Cloud (OAC) environments. We support data modeling, architecting, Extract, Transform & Load (ETL) development, Repository Definition File (RPD) development, and data analysis to advance our enterprise data warehouse. We will create and support data warehouse subject areas that support the user community in their reporting needs.

Primary Responsibilities:

Develop data warehouse subject areas. Support end users in the use of data warehouse and BI platform. Write and validate test scripts. Design, document, develop, and test reports. Maintain and support existing reports. Analyze and interpret data. Work with team members and stakeholders to understand business needs and business rules. Serve as an ASR developer and partner with the Office of Information Technology (OIT) on enterprise-wide Student projects. Academic Support Resources supports hybrid and flexible working arrangements. Work arrangements are determined in coordination with supervisors depending on the nature of the unit and position. The arrangement for this position will be determined upon hire between employee and supervisor.

The University of Minnesota is committed to fostering local talent through employment opportunities. While this position utilizes a hybrid work modality, prospective applicants must be located either in the state of Minnesota or near the Wisconsin border OR otherwise open to relocation.

Essential Functions Data Analysis and Reporting (70%)

Design, build, test, document, deploy, and maintain operational and strategic reports. Support development of business intelligence solutions and underlying student data warehouse subject areas. Collaborate with stakeholders to understand business logic and ensure its accurate representation in data analysis. Analyze data to identify trends and develop data-driven stories that positively impact student success. Communicate data findings and insights to diverse stakeholders and provide strategic business recommendations. Create and maintain user documentation and training resources for BI solutions. Production and Operations Support (20%)

Contribute to continuous improvements in the data and analytics strategy and processes. Engage the student data user community to promote the effective use of Student Data Analytics solutions. Ensure the availability and quality of data and reports to meet service expectations. Assist in the rapid resolution of production issues. Maintain and support existing reports. Professional Development (10%)

Develop and maintain subject matter expertise in student data. Stay current on data, visualization and analytics trends, topics and technologies. *The employer reserves the right to change or add duties to this position as long as the changes and/or additions are consistent with the job classification.

Requirements

BA/BS degree with two years of work experience or a master’s degree. Understanding of relational databases and programming experience. Intermediate SQL proficiency. Experience working with complex data sets from multiple sources., Ability to engage stakeholders in data analysis and interpretation in meaningful and effective ways. Advanced SQL proficiency, including Common Table Expressions (CTEs), window functions, query optimization, and indexing, with a focus on Data Warehousing principles. STAR data modeling experience Demonstrated ability to translate technical data findings into actionable insights for non-technical stakeholders. Experience working in higher education

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on sciencejobs.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:42 min

Combining technical skills with strong business communication

Lukas Kölbl · LIVE

2:36 min

Analyzing limitations with PostgreSQL bitmap heap scans

Dharin Shah Dharin Shah · World Congress 2025

3:38 min

Reusing email software standards for HTTP file uploads

Imran Nazar · World Congress 2023

1:31 min

Managing self-healed test scripts safely within continuous integration

Andrei Nutas Andrei Nutas · World Congress 2026 Europe

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · World Congress 2025

1:32 min

Generating functional runtime database columns using indexer properties

Halil İbrahim Kalkan Halil İbrahim Kalkan · World Congress 2026 Europe

Videos

See all

Related articles

See all