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Data Analyst Data Science Jobs in Layton, UT (NOW HIRING)

Mastercard, Inc.

Data Scientist I

Salt Lake City, UT · On-site

Role As an individual contributor working within a growing data science team, you will take responsibility for developing market leading, innovative, analytical open banking solutions. Focused in the ...

Pave

Data Analyst, Integrations

Salt Lake City, UT · On-site

$190/hr

Our platform is perfecting the art and science of pay to give 9,000+ companies unparalleled ... Work closely and conduct root-cause analysis with our Engineering teams. * Ensure timely responses ...

Pave

Data Analyst, Integrations

Salt Lake City, UT · On-site

$91K/yr

Work closely and conduct root-cause analysis with our Engineering teams. * Ensure timely responses to customer inquiries and a clean handoff to other team members on unresolved issues * Help document ...

Genuine Parts Company

BI Data Analyst

Ogden, UT · On-site

The Business Intelligence Data Analyst designs and develops software-based data modeling and visualizations with Business Intelligence (BI) tools. This role utilizes various analytical and ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Layton, UT

Data Analyst Data Science information

See Layton, UT salary details

$30.9K

$75.1K

$123.6K

How much do data analyst data science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data analyst data science in Layton, UT is $75,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,800.00 and $88,100.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What job categories do people searching Data Analyst Data Science jobs in Layton, UT look for?

The top searched job categories for Data Analyst Data Science jobs in Layton, UT are:

What cities near Layton, UT are hiring for Data Analyst Data Science jobs?

Cities near Layton, UT with the most Data Analyst Data Science job openings:

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Layton, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $75,084 per year, or $36.1 per hour.

Intern - Applied AI & Data Science

Salt Lake City, UT • On-site

ARUP
Construction • 10K+ employees
Learn more about ARUPexternal

$20/hr

Internship

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Schedule:
Duration of Internship: September 14, 2026 - December 14, 2026
Status: Non-benefited
Hours: Less than 29 hours per week
Days: Monday - Friday, flexible based on intern availability

Department: R&I Appl AI & Bioinformatics - 339

The Intern is utilized in various departments. ARUP's culture is one of caring for both the patient and its employees.

About the Supervisor:

Brendan O’Fallon, PhD., is the Bioinformatics Director at ARUP, and oversees the Applied AI (AAI) team.  The team works on machine learning and AI projects in digital pathology, flow cytometry, next generation sequencing, and clinical lab informatics.

Internship Description:

Projects that fit the skills and goals of the intern will be identified at the beginning of the internship, but will likely include exploratory data analysis, training machine learning or deep learning algorithms, or developing AI agents. The intern will work closely with a senior data scientist mentor, and will attend weekly meetings and standups.  At the end of the internship the final product or analysis will be presented to other data scientists, medical directors, and scientists from across the company.

Internship Goals: 

  • Develop proficiency with python data analysis tools
  • Refine data visualization skills
  • Become familiar with development of AI (LLM-based) agents
  • Learn basic concepts of laboratory information science

Knowledge, Skills & Techniques Learned from Internship:

Agentic Workflows

Data Science in Laboratory Medicine

LLM validation and QC

Basics of genomics, hematopathology, and/or digital pathology

Data visualization and written communication of scientific concepts

Measurement of New Skills:

Intern will be asked to present project to suitable user group at the end of the internship, including data scientists, MDs, laboratory staff, or other groups as relevant to the project.

About ARUP:
ARUP Laboratories is a national clinical and anatomic pathology reference laboratory and an enterprise of the University of Utah and its Department of Pathology. Based in Salt Lake City, Utah.
ARUP proudly hires top talent to create a work environment of diversity, professional growth and continuous development. Our workforce is committed to the important service we provide to over one million patients each month. We always strive for excellence and have a strong desire to have involvement with the advances in medicine and the role laboratory services plays within each patient’s life. We never forget that there is a patient behind every specimen we receive.
We are looking for individuals who want to contribute to ARUP's culture of accountability, integrity, service, and excellence. Consider joining our dynamic team.

Physical and Other Requirements:
Stooping: Bending body downward and forward by bending spine at the waist.
Reaching: Extending hand(s) and arm(s) in any direction.
Mobility: The person in this position needs to occasionally move between work sites and inside the office to access file cabinets, office machinery, etc.
Communicate: Frequently and effectively communicate with others.
PPE: Biohazard laboratory environment that requires use of personal protective equipment in accordance with CDC and OSHA regulations and company policies.
ARUP Policies and Procedures: To conduct self in compliance with all ARUP Policies and Procedures.
Sedentary Work: Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body.
Fine Motor Control: Picking, pinching, typing or otherwise working, primarily with fingers rather than with the whole hand as in handling.
Vision: Having close, far, and peripheral visual acuity to perform a variety of tasks such as make general observations of depth and distance.

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