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Temporary Data Analyst

Job in Rexburg, Madison County, Idaho, 83440, USA
Listing for: Brigham Young University-Idaho
Seasonal/Temporary position Listed on 2026-11-09
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Warehousing, Data Engineering
Salary/Wage Range or Industry Benchmark: 52000 - 79000 USD Yearly USD 52000.00 79000.00 YEAR

Job Description & How to Apply Below

Posting End Date

November 19, 2026

Project-Based Temporary Employment

This is a long-term, project-based temporary position anticipated to last approximately three years, depending on the needs and progress of the Student Information System (SIS) project. The position will support various phases of the project, including planning, implementation, system transition, and post-implementation support. The duration of employment may change based on project needs and does not guarantee employment for a specific period.

Data

Analyst

Turn institutional data into meaningful insights that support reporting, research, planning, and data-informed decisions across BYU-Idaho and its partner institutions.

Position Summary

The Data Analyst supports the collection, processing, analysis, and reporting of institutional data for BYU-Idaho, Ensign College, and BYU-Pathway Worldwide. Working with university departments and other stakeholders, this position develops reports, dashboards, data models, and analytical solutions that help leaders and departments better understand institutional performance and make informed decisions.

This role combines analytical problem-solving, data visualization, reporting development, and data management. The Data Analyst also collaborates with IT and other teams to support data integration, improve data quality, and ensure reporting accurately reflects institutional needs. In addition, this position helps train and consult with department report writers, promoting accurate, effective, and consistent reporting practices.

What You’ll Do

Data Analysis & Report Development

  • Collaborate with university departments to identify reporting and analytical needs.
  • Extract, process, and analyze institutional data to answer questions and support decision-making.
  • Design, develop, and maintain dashboards and reporting products for university leaders and other stakeholders.
  • Contribute to quantitative research, outcomes assessment, learning analytics, data modeling, and related analytical initiatives.

Data Management & Quality

  • Coordinate with IT to connect data systems and support institutional reporting strategies.
  • Help ensure data models and reporting structures accurately represent end-user needs.
  • Perform quality assurance to validate data integrations and identify potential data issues.
  • Support consistent data definitions and appropriate use of system fields to maintain reliable data flows.

Training & Consultation

  • Develop and deliver training for department report writers.
  • Consult with report writers to help them develop effective, accurate reports.
  • Teach sound reporting practices and review reports intended for distribution outside the originating department.
Invitation to Apply

If you enjoy working with data, solving problems, and translating complex information into useful insights, we invite you to apply. This role is well suited for someone who combines analytical thinking with strong communication skills and wants to help university departments make better use of data during a significant period of system change.

Qualifications, Skills & Attributes

Education

  • Bachelor’s degree or higher in Institutional Research, Data Science, Economics, Business Analytics, Statistics, or a related field.

Experience

  • Three or more years of experience in data science, institutional research, data analysis, assessment, or a related field; alternatively, completion of an advanced degree in a related field.

Preferred Skills & Attributes

  • Ability to learn new skills quickly.
  • Project management, creative problem-solving, and critical-thinking skills.
  • Strong customer service orientation.
  • Ability to communicate analytical information clearly, particularly through effective data visualization.
  • Familiarity with business intelligence concepts,…
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