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Data Science Analytics Jobs in Utah (NOW HIRING)

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

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 ...

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 ...

Data Scientist

Lehi, UT

$120K - $145K/yr

You will be part of a broader data science function, partnering closely with product, engineering, and operational teams to analyze data, run experiments, and expand the use of advanced analytics ...

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 ...

Principal Data Scientist

Salt Lake City, UT · On-site +1

$131.75K - $178.25K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. * 7+ years of experience in data analysis software, with data ...

Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. * 7+ years of experience in data analysis software, with data ...

... 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 ...

... 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 ...

... 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 ...

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 ...

Senior Data Scientist

Salt Lake City, UT · On-site

$110.50K - $149.50K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. * 5+ years of experience in data analysis software, with data ...

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Data Science Analytics information

See Utah salary details

$22

$49

$86

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:
Director, Analytics & Data Science

Director, Analytics & Data Science

Western Governors University

Salt Lake City, UT • On-site, Remote

$163.20K - $293.80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Western Governors University rating

8.6

Company rating: 8.6 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

49th of 529 rated colleges and universities


Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Grade: Management_Executive 612Pay Range: $163,200.00 - $293,800.00

Job Description

The Director of Data Science & Analytics leads a team that supports the data and analysis needs of WGU's Marketing, Enrollment, and Regional Operations teams, including Strategic Partnerships. This team's mission is threefold: to provide objective insights that inform Outreach decisions and improve performance, to clearly communicate Outreach impact, and to build and maintain the analytics infrastructure that supports these efforts.
This role plays a key part in shaping the experience of future WGU students - from raising awareness of our mission to helping them choose the right path and complete their enrollment. The Director ensures that data and insights are used to guide strategies that are inclusive, effective, and aligned with WGU's goals of increasing access, improving student outcomes, and maximizing the value of a WGU degree.
Reporting to the Vice President of Institutional Analytics and Research (IAR), the Director is responsible for delivering high-quality analytics that support strategic decision-making across Outreach Organization. The ideal candidate brings strong business acumen and a passion for using data to improve marketing performance, grow enrollment, and strengthen regional outreach.

Responsibilities

This job description includes a general representation of job requirements rather than a comprehensive inventory of all required responsibilities or work activities. The contents of this document or related job requirements may change at any time with or without notice.

  • Strategic Analytics Leadership:
    • Lead the development and execution of an analytics strategy that directly supports the needs and priorities of the assigned stakeholder group.
    • Collaborate with senior leaders to align analytics initiatives with business goals and strategic priorities.
    • Provide actionable insights to drive marketing campaigns, enrollment strategies, and partnership initiatives.
  • Data Science and Analytics:
    • Lead and guide data scientists and analysts in applying predictive modeling, forecasting, and advanced analytics to support marketing and enrollment priorities.
    • Shape and prioritize advanced analytics use cases (e.g., incrementality testing, forecasting, impact evaluation, optimization) to ensure analytical work drives clear business decisions and actions.
    • Ensure advanced analytics outputs are interpretable, actionable, and embedded into workflows, including models that inform recommendations and next-best actions.
  • Analytics Architecture:
    • Partner with the Analytics Architecture team to ensure web analytics, customer data platforms (CDPs), and related systems provide reliable, decision-ready data. Support instrumentation and data collection requirements needed to inform stakeholder strategies.
    • Work with data and platform teams to ensure data from multiple sources is integrated and aligned, enabling a holistic view of marketing and enrollment performance.
    • Oversee the development and maintenance of dashboards, reports, models, and analytical tools to support decision-making.
  • Stakeholder Engagement and Communication:
    • Engage with key stakeholders to understand their analytical needs and provide tailored solutions.
    • Present complex data insights in a clear and actionable manner to senior leadership and other stakeholders.
    • Facilitate workshops, training sessions, and presentations to promote data literacy and the effective use of analytics.
  • Innovation and Continuous Improvement:
    • Stay at the forefront of emerging trends and technologies in data analytics, marketing analytics, and higher education.
    • Implement continuous improvement processes to enhance the efficiency and effectiveness of analytics activities.
    • Foster a culture of innovation, encouraging the team to explore new methodologies and tools.
  • Team Leadership and Development:
    • Provide visionary leadership and mentorship to the analytics team, fostering a collaborative and high-performance culture.
    • Lead recruitment and talent management efforts to attract and retain top talent with diverse skills and perspectives.
    • Promote professional growth and development opportunities for team members.
  • Budget and Resource Management:
    • Manage the budget for the Outreach Analytics function, ensuring effective utilization of resources.
    • Implement cost-saving measures without compromising the quality of analytics services.
  • Risk Management and Compliance:
    • Identify and mitigate risks associated with data management and analytics activities.
    • Ensure compliance with relevant regulations and institutional policies.

Qualifications

Knowledge, Skills, and Abilities

  • Expertise in Marketing Data Analytics & Science: In-depth understanding of analytics and data science methodologies, tools, and best practices across marketing, enrollment, and related functions, with the ability to partner with enterprise teams to align analytics with shared data platforms and standards.
  • Business Acumen: Strong business orientation with the ability to translate data insights into actionable business strategies.
  • Technical Proficiency: Fluency in digital and customer journey analytics ecosystems (e.g., Adobe Analytics, CJA, Tealium AudienceStream, Accutics, ObservePoint, Adobe Launch), to effectively partner with platform owners and ensure reliable, usable data.
  • Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex information clearly.
  • Project Management: Strong organizational and project management skills, with the ability to lead multiple initiatives simultaneously.
  • Collaboration: Ability to foster effective working relationships across various departments and with external partners.

Education

  • Master's Degree in a relevant field such as data analytics, data science, business analytics, marketing, business management, or a related discipline

Experience

  • 10+ years of experience in data analytics, data science or related field, with at least 5 years in a leadership role and 3 years of managing managers
  • Expertise in BI platforms such as Tableau and data tolls related to outreach functions (web analytics, CRM, etc)
  • Proven track record of managing and mentoring teams and managers
  • Experience in leading change initiatives within data systems or business processes

Preferred:

  • Certified Scrum Product Owner (CSPO), Agile Certified Practitioner (PMI-ACP), or Pragmatic Product Management
  • Understanding of higher education landscape and its unique challenges

Experience in lieu of education

Equivalent relevant experience performing the essential functions of this job may substitute for education degree requirements. Generally, equivalent relevant experience is defined as 1 year of experience for 1 year of education and is the discretion of the hiring manager.

#LI-ONESS

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.


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