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Data Science Analytics Jobs in Utah (NOW HIRING)

Waystar

Data Scientist

Lehi, UT · On-site

... and analytic technology within Healthcare, producing quantitative, justifiable results to guide ... Required : • Bachelor's degree in the fields of Computer or Data Science, Statistics, or ...

Swire Coca-Cola, USA

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 ...

Pura

Staff Data Scientist

Pleasant Grove, UT · On-site

By blending artistry and science, Pura allows users to design their own "scentscapes" that enhance ... Strong analytical and problem-solving skills with attention to data quality and reliability

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How much do data science analytics jobs pay per hour?

As of May 29, 2026, the average hourly pay for data science analytics in Utah is $49.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $56.44 per hour, depending on experience, location, and employer.

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

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.

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

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What are the most commonly searched types of Data Science Analytics jobs in Utah? The most popular types of Data Science Analytics jobs in Utah are:
What are popular job titles related to Data Science Analytics jobs in Utah? For Data Science Analytics jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Science Analytics jobs in Utah look for? The top searched job categories for Data Science Analytics jobs in Utah are:
Data Science Analytics jobs near you
Remote Data Science Consultant - Shape AI Reasoning

Remote Data Science Consultant - Shape AI Reasoning

DataAnnotation

Salt Lake City, UT • Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A leading AI development firm is seeking experienced quantitative professionals to evaluate AI-generated analyses and provide feedback that shapes the future of AI systems. This remote role allows flexible scheduling, and you'll need 2+ years of hands-on quantitative experience, coding skills, and a relevant bachelor's degree. Projects pay starting at $40+ per hour, offering a significant opportunity to impact AI development.

Ideal candidates come from areas like data science or statistics. #J-18808-Ljbffr

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