Data Analytics Developer

Posted 15 Hours Ago
Be an Early Applicant
Provo, UT, USA
In-Office
90K-117K Annually
Senior level
Other
The Role
Develop and maintain ETL pipelines integrating systems such as Canvas and Qualtrics; automate data-quality and analytics workflows using Python, SQL, and cloud-based tools. Diagnose data issues, create business intelligence solutions, translate stakeholder needs into analytical requirements, and document and train users on implemented systems. The role also supervises student employees and supports reporting, surveys, accreditation, and process improvement.
Summary Generated by Built In

Why Work at BYU

At Brigham Young University (BYU), your work is an opportunity to contribute to a distinctive educational mission rooted in the gospel of Jesus Christ and to make a meaningful difference in the lives of students.


As the flagship university of The Church of Jesus Christ of Latter-day Saints, BYU strives to be among the exceptional universities in the world. We are devoted to our faith, our students, and the University's Mission: "To assist individuals in their quest for perfection and eternal life."


We seek staff members who enthusiastically embrace and advance this unique mission. Across the university, staff bring their expertise and talents to work that helps students learn, grow, and thrive. A culture of covenant belonging, weekly devotionals, meaningful opportunities for learning and growth, and a beautiful and historic campus make BYU a distinctive and inspiring place to build a career.


Belonging Statement

United by our common primary identity as children of God, BYU values and embraces the variety of individual characteristics, life experiences and circumstances, perspectives, talents, and gifts across the BYU community. This richness strengthens our shared efforts to create and support an environment of covenant belonging centered in Jesus Christ.


Employment Requirements

Members of The Church of Jesus Christ of Latter-day Saints are required to hold and be worthy to hold a current temple recommend to be hired and to remain in any position at BYU.


In hiring decisions, Brigham Young University lawfully gives strong preference to qualified, faithful members of The Church of Jesus Christ of Latter-day Saints. All employees are required to abide by the university's Honor Code and Dress & Grooming Standards. Successful candidates are expected to support and contribute to the academic and religious missions of the university, which are aligned with the principles and doctrine of The Church of Jesus Christ of Latter-day Saints.


Equal Opportunity

Brigham Young University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of disability or protected veteran status.

**The last day to submit an application for this position is October 8, 2026, by 11:59pm MST. **


Data Analytics Developer


Join BYU Continuing Education as a Data Analytics Developer and help transform data into insights that drive meaningful results. You’ll design and maintain ETL pipelines, automate data-quality tools, integrate diverse API sources, and develop secure, cloud-based analytics solutions using SQL, Python, and business intelligence technologies. Through collaboration with stakeholders, you’ll deliver innovative tools that strengthen decision-making and support BYU’s evolving educational mission.


What you do in this position:


1. Creating, implementing, and managing ETL processes


  • Develop, automate, monitor, troubleshoot, and maintain ETL pipelines that integrate data from external systems such as Canvas and Qualtrics using Python, GitHub Actions, and other tools.
  • Update ETL scripts and workflows to address evolving business processes, platform migrations, system or schema changes, and changing Continuing Education needs.

2. Enhancing data quality and improving work efficiency by streamlining and/or automating analytical workflows across CE’s product and service areas.


  • Diagnose and resolve data access, migration, collection, quality, security, and freshness issues while implementing sustainable quality assurance practices.
  • Develop Python scripts and scalable automations that streamline recurring analytical processes and support new initiatives, systems, and departmental needs.

3. Working with CE directors, product and program managers, and other stakeholders to identify pain points, needs, and opportunities to improve data workflows, quality, and access.


  • Consult with stakeholders to define analytical requirements, key performance indicators, data sources, business needs, pain points, and opportunities for improved data integration and access.
  • Research emerging analytics solutions, test systems, collaborate with CE IT and related teams, prepare data sources, and train stakeholders on implemented solutions.

4. Supervising and training student employees.


  • Supervise and train student employees, assess business intelligence tool usage, and develop and maintain technical documentation.

5. Assist in other department processes, as needed.


  • Conduct surveys and evaluations; support accreditation, course assessment, reporting, process documentation, flow charts, process diagrams, and user journey maps.


What qualifies you for this role:


Required


  • A firm commitment to the mission of BYU.
  • Bachelor’s degree in Computer Science, Information Systems, Statistics, or relevant field or relevant experience
  • Advanced skill in Python, especially with Pandas and Plotly or Matplotlib.
  • Experience using Dremio, Tableau, Power BI, Python, SQL, and Bash on Linux.
  • Experience working in GitHub or other version management tools.
  • Ability to solve problems collaboratively and build strong relationships
  • Demonstrated ability to electronically handle data and maintain data confidentiality.
  • Demonstrated writing skills including graphical reporting elements.
  • Outstanding communication skills and demonstrated ability to establish and maintain excellent working relationships.
  • Ability to work in an iterative and incremental development environment.
  • Ability to identify and clarify business needs and translate those into analytical solutions.
  • undefined

Preferred


  • Master’s degree in Computer Science, Information Systems, Statistics, or relevant field or related field
  • 5 or more years’ related experience with data analytics or data engineering at a higher education institution.
  • Experience implementing machine learning, LLMs, vector databases, and embeddings to process and analyze unstructured data
  • Exposure to graph databases, Elastic Stack, or real-time streaming (Kafka, Kinesis).
  • Intermediate to advanced to expert skill in Tableau Prep & Server.Advanced to expert skill in the use of Qualtrics 

What we offer in return:


This position comes with fantastic benefits, including:


  • 401(k): BYU automatically contributes 8% at no cost to you. Additionally, if you contribute 5%, BYU adds an additional 4% (rehires may qualify for different retirement plans).
  • Generous vacation and sick time, plus 13 paid holidays.
  • Employee assistance program available to the employee and all members of their household.
  • Tuition benefits for employees and eligible family members.
  • Access to athletic facilities.• Excellent medical and dental benefits.
  • Short- and long-term disability benefits.
  • Paid parental and maternity leave.
  • Wellness program.
  • Free on-campus parking.
  • Free UTA passes for the employee, spouse, and qualified dependents.
  • Discounts at the BYU Store and for many events at BYU. 

Pay Grade: 54T


Typical Starting Pay: $90,000 - $117,000


The actual compensation offered will take into consideration internal equity and may vary based on the candidate’s job-related experience, knowledge, skills, and other relevant factors. Candidates with very significant work-related experience may receive an offer higher than the posted typical range. 

Skills Required

  • Firm commitment to BYU's mission
  • Bachelor's degree in Computer Science, Information Systems, Statistics, or a relevant field, or relevant experience
  • Advanced Python skills, especially with Pandas and Plotly or Matplotlib
  • Experience with Dremio, Tableau, Power BI, Python, SQL, and Bash on Linux
  • Experience using GitHub or other version management tools
  • Ability to solve problems collaboratively and build strong relationships
  • Ability to electronically handle data and maintain data confidentiality
  • Demonstrated writing skills, including graphical reporting elements
  • Outstanding communication skills and ability to establish and maintain excellent working relationships
  • Ability to work in an iterative and incremental development environment
  • Ability to identify and clarify business needs and translate them into analytical solutions
  • Master's degree in Computer Science, Information Systems, Statistics, or a related field
  • Five or more years of related data analytics or data engineering experience at a higher education institution
  • Experience implementing machine learning, LLMs, vector databases, and embeddings for unstructured data
  • Exposure to graph databases, Elastic Stack, or real-time streaming with Kafka or Kinesis
  • Intermediate to advanced or expert skill in Tableau Prep and Tableau Server
  • Advanced to expert skill using Qualtrics
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The Company
Year Founded: 1875

What We Do

Brigham Young University is a private research university located in Provo, Utah. Owned and operated by The Church of Jesus Christ of Latter-day Saints, it provides an intellectually and spiritually invigorating community where students pursue academic excellence and moral development. As a global institution of higher learning, BYU is dedicated to providing a world-class education rooted in faith and scholarship.

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