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Data Analyst Data Science Jobs in Utah (NOW HIRING)

Domo

Senior Data Scientist

American Fork, UT

Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI. POSITION SUMMARY Sr. Data Scientists at Domo are client-facing experts who work with ...

Domo

Senior Data Scientist

American Fork, UT · On-site

Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI. POSITION SUMMARY Sr. Data Scientists at Domo are client-facing experts who work with ...

Awardco

Lead Data Scientist

Lindon, UT · On-site

... Data Science function, addressing strategic and operational questions facing the global business by delivering insights and conducting extensive analyses. Responsibilities : • This position will ...

swirecc

Data Scientist

Draper, UT · On-site

... data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer ...

swirecc

Data Scientist

Draper, UT

... data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer ...

swirecc

Data Scientist

Draper, UT · On-site

... data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107.90K - $183.40K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Understanding of data science priorities and how each contributes to the success of nCino

nCino OpCo

Senior Data Scientist

Lehi, UT

$107.90K - $183.40K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Understanding of data science priorities and how each contributes to the success of nCino

Meetcute

Data Scientist

Provo, UT

Several years of data science experience are preferred. Requirements You need to be: Independent ... First, and most importantly, is the design and analysis of experiments. We run a substantial number ...

MasterCard

Senior Data Scientist

Holladay, 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 ...

Awardco

Lead Data Scientist

Lindon, UT

... Science function. The Data Operations group is responsible for delivering business insights and high-impact analyses to the various business units within Awardco. Within this group, the Lead Data ...

Collabera

Data Analyst

Salt Lake City, UT · Hybrid

Assists in the analysis of underlying issues arising from investigations into requirements. Assists the project team in the completion of project-related documentation. Recommended Experience ...

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

As of May 29, 2026, the average hourly pay for data analyst data science in Utah is $35.59, according to ZipRecruiter salary data. Most workers in this role earn between $25.67 and $43.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

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 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 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 are popular job titles related to Data Analyst Data Science jobs in Utah? For Data Analyst Data Science jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Utah look for? The top searched job categories for Data Analyst Data Science jobs in Utah are:
What cities in Utah are hiring for Data Analyst Data Science jobs? Cities in Utah 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 Utah as of May 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $74,034 per year, or $35.6 per hour.
Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)

Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)

Campbell Soup Company

Richmond, UT • On-site

$18.95/hr

Part-time

Medical, Dental, Retirement

Posted 10 days ago

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover. Swanson, and V8.
Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
Job Title: Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)
Location: Richmond Ut.
Job Type: Part-Time
Department: Operations / Continuous Improvement / IT
Reports To: Manager of Continuous Improvement
Position Summary
We are seeking a Part-Time Data Analyst Technician with a strong computer science and data analytics background. This role will focus on transforming manufacturing and operational data into actionable insights through Power BI dashboards, Python automation, SQL data management, and DAX-based analytics.
The ideal candidate is highly analytical, comfortable working with manufacturing data, and capable of building automated data pipelines and visualizations that support real-time operational decision-making, productivity tracking, and continuous improvement initiatives.
Key Responsibilities -
Data Analytics & Visualization:
Develop and maintain Power BI dashboards and reports to monitor manufacturing performance, productivity, downtime, and quality metrics.
Write and optimize DAX measures and calculated columns to support advanced operational analytics.
Transform raw manufacturing data into meaningful visualizations for leadership and production teams.
Build automated reporting solutions to support daily production reviews and Redzone performance tracking.
Data Engineering & Programming:
Write Python scripts to automate data extraction, transformation, and reporting processes.
Design and maintain SQL queries, stored procedures, and database structures for operational data.
Integrate data from Redzone MES, ERP systems, spreadsheets, and other manufacturing data sources.
Manufacturing Systems Implementation :
Support implementation and rollout of the Redzone Manufacturing Execution System (MES).
Assist with data integration, data validation, and dashboard creation tied to Redzone data streams.
Help design KPI structures aligned with Lean Manufacturing and Continuous Improvement principles.
Support real-time data visibility initiatives on the production floor.
Data Quality & Optimization:
Ensure accuracy and consistency of manufacturing data used for reporting.
Develop tools to validate, clean, and standardize data sources.
Identify opportunities for automation and process improvement through data analytics.
Required Qualifications:
Current coursework in Computer Science, Data Analytics, Information Systems, or related field (or equivalent experience).
Strong experience with Power BI including:
Data modeling
Dashboard creation
Power Query
Strong DAX coding skills.
Proficiency in Python programming for data analysis and automation.
Experience writing complex SQL queries and working with relational databases.
Strong analytical and problem-solving skills.
Ability to translate data into clear operational insights.
Preferred Qualifications
Experience working with Manufacturing Execution Systems (MES) or production data.
Familiarity with Redzone productivity systems.
Experience with Lean Manufacturing, Six Sigma, or Continuous Improvement programs.
Experience integrating ERP or operational databases with reporting tools.
Knowledge of data pipeline design and automation workflows.
Key Skills:
Power BI Dashboard Development
DAX Analytics
Python Data Automation
SQL Data Management
Manufacturing Data Analysis
Data Visualization & Reporting
Continuous Improvement Analytics
Work Schedule:
Part-Time (10-25 hours per week)
Flexible scheduling available depending on project needs.
Impact of the Role :
This role will directly support data-driven manufacturing operations, helping leadership and production teams gain real-time insights into performance, downtime, efficiency, and continuous improvement opportunities through the Redzone system.
Pay:
$18.95/hour
Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.
The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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