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Data Science And Analytics Jobs in Utah (NOW HIRING)

Our team is dedicated to delivering advanced data analytics and insights to empower healthcare professionals. Responsibilities: * Collaborate with the data science team to understand, enhance, and ...

The role involves collaborating with stakeholders to analyze datasets, extract insights, and ... Qualifications : Required : • Undergraduate degree in Data Science, Statistics, Mathematics ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/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

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/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

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 ...

Senior Data Scientist

Lehi, UT · On-site

$133K - $213K/yr

... analysis and data science experience. * 5+ years of proficiency using SQL, Python, and applied ... statistical techniques such as inferential methods, causal methods, A/B testing, or statistical ...

... data science or cross-disciplinary team on commercially-facing development projects, typically ... In this role, you will: • Develop analytics to address customer needs and opportunities. • Work ...

... data science or cross-disciplinary team on commercially-facing development projects, typically ... Develop analytics to address customer needs and opportunities. Work alongside software developers ...

Senior Data Scientist

Lehi, UT · On-site

$107.90 - $183.40/hr

... analyze complex datasets, and develop, deploy, and monitor data‑driven solutions. Essential ... Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science, or related field ...

Bachelor's degree in Business, Data Science/Analytics, Economics, Statistics, or a related field. * 3+ years of experience in a retail business analyst, sales forecasting, or similar analytical role.

Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced ... Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis ...

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced ... Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis ...

Sr Manager, Product Analytics

Lehi, UT · On-site

$118K - $156K/yr

About This Role We are seeking a Sr Manager, Product Analytics to lead a high-impact team of data scientists and data engineers that drive actionable insights across product, customer, and business ...

Showing results 41-60

Data Science And Analytics information

See Utah salary details

$34.1K

$111.7K

$178.9K

How much do data science and analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science and analytics in Utah is $111,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $123,800.00 per year, depending on experience, location, and employer.

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.

What cities in Utah are hiring for Data Science And Analytics jobs?

Cities in Utah with the most Data Science And Analytics job openings:

Infographic showing various Data Science And Analytics job openings in Utah as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $111,737 per year, or $53.7 per hour.

Data Analyst Assistant

Brevium

American Fork, UT • On-site

$20 - $22/hr

Part-time

Re-posted 14 days ago


Job description

Job Title: Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus
Location: American Fork, Utah (In Office)
About Us:
Brevium is a dynamic and innovative healthcare technology company located in American Fork, Utah. We specialize in providing cutting-edge solutions for healthcare practices, with a commitment to improving patient care and operational efficiency. Our team is dedicated to delivering advanced data analytics and insights to empower healthcare professionals.
Responsibilities:
  • Collaborate with the data science team to understand, enhance, and maintain existing Python and SQL programs.
  • Utilize Python for data analysis, employing libraries such as pandas, plotly, and sklearn.
  • Execute SQL queries for database retrieval, data manipulation, and integration tasks.
  • Assist in troubleshooting and debugging code-related issues in Python and SQL.
  • Document and present analysis results using data visualization tools such as plotly, matplotlib, and Excel.
  • Documenting code and analysis procedures.
  • Assist in the development and implementation of machine learning models for predictive analysis using industry-leading tools.
  • Able to communicate with Sales team to know what data insights are needed.
Qualifications:
  • Current student pursuing a degree in Computer Science, Data Science, Information Science, or a related field.
  • Proven experience in data analysis, with a strong focus on extracting actionable insights.
  • Proficiency in Python programming language, with experience in libraries such as pandas, plotly, sklearn.
  • Strong understanding of SQL for querying databases, retrieving data, and performing data manipulation tasks.
  • Familiarity with data cleaning, preprocessing, and statistical methods.
  • Ability to read, understand, and modify existing code for data analysis and visualization in Python and SQL.
  • Excellent communication skills.
  • Proficient in Excel.
Preferred Skills:
  • Intermediate to advanced python and SQL server skills.
  • Experience with data visualization tools like plotly and matplotlib.
  • Previous exposure to working with databases and data manipulation tasks.
  • Familiarity with statistical analysis tools and techniques.
  • Strong organizational skills and ability to be self motivated.
Working Hours:
20 hours per week (flexible schedule to accommodate academic commitments).
Compensation $20-22/hr