Provo, UT

Data Jobs in Provo, UT

3 jobs found

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30d ago

Sr. Data Scientist

Brigham Young University Provo, UT

Provo, UT

30d ago Closed

$119k - $154k/yr Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Sep 5, 2026).

Job Description

The Sr. Data Scientist role at Brigham Young University supports institutional research and assessment by applying advanced data science techniques to build predictive models, perform sophisticated statistical analysis, and translate complex datasets into actionable insights for university leadership. This position works closely with campus stakeholders and helps partners use interactive reporting tools and data resources.

Key Responsibilities

Develop predictive models and apply advanced statistical and machine learning techniques to institutional data.
Analyze and integrate data from multiple sources to identify trends and address strategic university questions.
Design and evaluate studies that measure the effectiveness of student success initiatives and institutional programs.
Create dashboards, reports, and data visualizations that communicate actionable insights to university leadership.
Develop and maintain automated reporting tools and analytical data structures.
Address ad hoc analytical requests, documenting methods, assumptions, and findings.
Train campus partners on interactive reporting tools and data resources.
Stay current with emerging data science, analytics, and artificial intelligence methodologies to strengthen institutional research capabilities.

Required Qualifications

Strong commitment to the mission of BYU.
Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, or a related field, plus two years of related experience, or an equivalent combination of education and experience.
Expertise in Bayesian statistical modeling and advanced statistical analysis.
Experience with predictive modeling, machine learning, and data visualization.
Proficiency in Python, SQL, R, or similar statistical programming languages.
Strong analytical, project management, and problem-solving skills.
Excellent written and verbal communication skills, including the ability to present technical concepts to diverse audiences.
Ability to manage multiple priorities and work independently and collaboratively.

Technologies

Bayesian statistical modeling
Python
SQL
R
Tableau

Preferred Qualifications

Ph.D. in a related field and two to four years of relevant experience.
Experience in higher education institutional research or assessment.
Experience developing Tableau dashboards and other data visualization products.
Experience evaluating educational programs using causal or quasi-experimental methods.

Location and Pay

Location: Provo, UT (onsite).
Salary: USD 118,500 - 154,000 per yearly.
Typical Starting Pay: $118,500 - $154,000.
Pay Grade: 56T.

Benefits

401k: BYU automatically contributes 8% at no cost to you. 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 for the employee and all members of their household.
Tuition benefits for employees and eligible family members.
Access to athletic facilities.
Excellent medical/dental benefits.
Short/long term disability benefits.
Paid parental and maternity leave.
Wellness program.
Free on-campus parking.
Free UTA passes for employee, spouse, and qualified dependents.
Discounts at the BYU Store and for many events at BYU.

Required Documents

All staff positions require a resume.
Refer to the job posting for any additional required documents.

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2mo ago

Data Engineer

Crumbl Provo, UT

Provo, UT

2mo ago Closed

Full time Cloud Cloud Platform Data Architecture

This position is no longer accepting applications (closed Aug 4, 2026).

Job Description

On-site opportunity in Provo, Utah with Crumbl, offering a collaborative, growth-oriented culture where data informs every decision. This role sits at the headquarters and provides ample room for career advancement within a hyper-growth environment, all while working with modern tooling and a team that values data quality and security.

Responsibilities

Design, build, and maintain scalable data pipelines using ELT/ETL methods to securely extract, load, and process data across sources.
Partner with data scientists, analysts, and stakeholders to translate data needs into reliable, high-quality data assets.
Create and sustain thorough documentation, including data dictionaries, workflow diagrams, and data flow diagrams.
Protect data integrity and security by implementing appropriate controls and continuous monitoring.
Optimize pipelines for performance and efficiency, tuning for faster queries on large datasets.
Implement data security policies and procedures, covering access controls, encryption, and data masking.
Design and implement data processing workflows with dbt and Prefect to support data science and machine learning use cases.
Develop and maintain ingestion processes to bring external data into the organization’s data environment.
Identify performance bottlenecks and collaborate with infrastructure and operations teams to optimize system performance.
Test and validate data pipelines to ensure they meet business requirements and operate reliably.
Participate in code reviews and contribute to data engineering best practices.
Stay current with emerging data engineering and data science technologies to identify practical opportunities for adoption.

Requirements

Bachelor’s or Master’s degree in Data Science, Information Systems, or a related field.
Minimum of 3 years building and maintaining production data pipelines, or equivalent experience with a related degree.
Advanced SQL skills, including window functions, CTEs, and performance tuning on large datasets.
Strong Python for data engineering with modular, testable pipeline code.
Hands-on dbt experience covering models, tests, macros, and incremental materializations.
Production Snowflake experience focusing on schema design, performance tuning, and warehouse/cost optimization.
Experience with AWS data services such as S3, Glue, and Lambda.
Data quality and observability using dbt and Elementary.
Infrastructure as code using Terraform and version control with Git.
Dimensional modeling concepts (star/snowflake schemas, SCDs) and lakehouse ideas.
Strong problem-solving abilities and clear communication with analysts, scientists, and stakeholders.

Technologies

dbt
Prefect
SQL
Python
Snowflake
AWS S3
AWS Glue
AWS Lambda
Terraform
Git
Elementary

Benefits

Medical, dental, and vision coverage
15 days of paid time off per year
10 paid holidays
Paid parental leave
Personal cell phone bill reimbursement
Gym reimbursement
Corporate DoorDash DashPass membership
Regular company and team activities
401(k) with competitive matching
Strong opportunities for career growth
Work within a hyper-growth company

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2mo ago

Data Analyst

Crumbl Provo, UT

Provo, UT

2mo ago Closed

Full time Analyst Analytics Business Intelligence

This position is no longer accepting applications (closed Jul 6, 2026).

Job Description

Based onsite in Provo, Crumbl is seeking a Data Analyst to collaborate with Store Analytics, Menu, and Tech teams. The role focuses on translating both internal and external data into strategic insights that inform decisions and help drive the company’s OKRs. This position emphasizes turning complex datasets into clear, actionable analytics that support ongoing business improvement.

Responsibilities

Aligns work with both immediate departmental priorities and longer‑range strategy.
Applies the team’s standard data collection and reporting methodologies to deliver consistent results.
Interprets findings with statistical techniques and communicates implications clearly.
Maintains ongoing reports and supports existing dashboards for stakeholders.
Detects and explains trends and patterns within intricate data sets.
Defines problems precisely, selects appropriate analytical methods, and presents actionable recommendations to address key questions tied to strategies.
Approaches issues with a strategic mindset, testing solutions to yield practical, positive outcomes.
Creates visually compelling and audience‑appropriate reports and dashboards that meet department needs.
Delves into the root causes of questions, ensuring tasks drive meaningful impact rather than simply being completed.
Builds and sustains strong stakeholder relationships by communicating data insights clearly, both verbally and in writing.
Identifies opportunities to automate processes and improve workflows within the assigned department.
Promotes a data‑driven culture and mindset across teams.
Collaborates with the Data Analytics Manager and Data Integrity Project Manager to enhance data quality and applicability.
Supports quarterly team initiatives and shares knowledge with peers to foster growth and capability development.
Links department key results to company KPIs and contributes to continuous statistical and analytical skill development.

Requirements

Bachelor’s degree in a data‑related field is preferred (examples include Mathematics, Economics, Computer Science, Information Management, Statistics), but not mandatory.
Recent experience in data analytics or a related discipline.
Strong proficiency in SQL is required.
Solid experience with Excel is required.
Foundational knowledge of statistics.
Experience with Tableau is desirable.
Commitment to data integrity and accuracy.
Proactive problem solver with meticulous attention to detail.
Excellent verbal and written communication skills.
Snowflake knowledge is preferred but not required.
Positive attitude and adaptability in a dynamic environment.
DBT knowledge is preferred but not required.
Python or R experience is preferred but not required.

Technologies

SQL
Excel
Tableau
Snowflake
DBT
Python
R

Benefits

Medical, dental, and vision coverage
15 days of PTO per year
10 paid holidays
Paid parental leave
Personal phone bill reimbursement
Gym reimbursement
Corporate DoorDash DashPass membership
Regular company and team activities
401k with competitive employer matching
Strong opportunities for career growth
Role within a rapidly expanding organization

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Data Jobs in Provo, UT

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