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Data Analytics Consultant Jobs in Utah (NOW HIRING)

Wipro Limited

Data Analytics L1(CONTRACT)

Santa Clara, UT · On-site

$60K - $148K/yr

Data Analytics L1(CONTRACT) City: Santa Clara State/Province: California Posting Start Date: 8/18 ... WIPRO) is a leading technology services and consulting company focused on building innovative ...

Navtech, Inc.

Data Analyst

Salt Lake City, UT · On-site

I have an opportunity for "Data Analyst" and looking for a candidate who can join Immediately if you are interested reply me with your updated resume or consultant's contact details and if you could ...

Workday

Sr Data Conversion Consultant

Salt Lake City, UT · On-site

$105K - $195K/yr

... analytic solutions. The Sr. Technical Consultant has knowledge of core design principles, common data modeling and patterns, project implementation methodology, and a successful track record of ...

Pwc

AI & GenAI Data Scientist - Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

... data analysis and data modeling techniques - Excelling in coaching and mentoring team members - Embracing change and innovation in technology consulting - Developing skills in neural networks and ...

Armaninollp

Data & AI Platform Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Armanino is proud to be among the top 20 Largest Accounting and Consulting Firms in the Nation and ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

Deloitte

Senior Manager Data Lead

Salt Lake City, UT · Hybrid

We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Deloitte's Healthcare Consulting practice is one of the largest ...

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How much do data analytics consultant jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data analytics consultant in Utah is $40.87, according to ZipRecruiter salary data. Most workers in this role earn between $27.60 and $54.71 per hour, depending on experience, location, and employer.

What skills and qualifications does a data analytics consultant need?

To thrive as a Data Analytics Consultant, you need strong analytical skills, a solid grasp of statistical methods, and a relevant degree in fields like mathematics, computer science, or business analytics. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as certifications in analytics or data science, are highly valued. Exceptional problem-solving abilities, communication skills, and business acumen set top consultants apart when translating data insights into actionable business strategies. These competencies enable consultants to deliver data-driven recommendations that drive organizational success and informed decision-making.

What challenges do data analytics consultants face when working with clients?

A frequent challenge for Data Analytics Consultants is translating complex data insights into actionable recommendations that non-technical stakeholders can easily understand. Additionally, aligning data solutions with a client's specific business goals and navigating inconsistent or incomplete data sets are common hurdles. Overcoming these challenges involves strong communication skills, a consultative approach to uncover business needs, and the ability to propose practical, scalable solutions. Consultants often work closely with cross-functional teams, including IT, marketing, and operations, to ensure successful project delivery and stakeholder buy-in.

Is data analytics a high paying job?

Data analytics consultants typically earn competitive salaries that vary by experience, location, and industry. Entry-level roles may start lower, but experienced professionals with skills in tools like SQL, Python, or Tableau can command higher pay, especially with certifications and specialized expertise.

What does a data analytics consultant do?

A data analytics consultant analyzes data to help organizations make informed business decisions. They collect, process, and interpret large datasets using tools like Excel, SQL, or Tableau, and often provide insights through reports and visualizations. Strong analytical skills and knowledge of statistical methods are essential for this role.

What are the most commonly searched types of Data Analytics Consultant jobs in Utah?

The most popular types of Data Analytics Consultant jobs in Utah are:

What are popular job titles related to Data Analytics Consultant jobs in Utah?

For Data Analytics Consultant jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Data Analytics Consultant jobs in Utah look for?

The top searched job categories for Data Analytics Consultant jobs in Utah are:

Data Analytics Consultant jobs near you
Infographic showing various Data Analytics Consultant job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $85,011 per year, or $40.9 per hour.

Professional in Residence - Data Analytics

Orem, UT • On-site

Utah Valley University
Colleges, Universities, and Professional Schools • 1 - 5K employees

6.8

Company rating: 6.8 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

484th of 627 rated colleges and universities

People enjoy working here

Recommended by students

Recommended by parents

Learn more about Utah Valley Universityexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

Salary: Depends on Qualifications
Location : Main Campus - Orem
Job Type: FT Faculty
Job Number: FY2706534
Division: VP Academic Affairs
Department: Strategic Management and Operations
Opening Date: 08/28/2026
Closing Date: 9/9/2026 11:59 PM Mountain
Required Documents Needed to Apply: Resume
Cover Letter
Optional Documents: Curriculum Vitae
Applicant Support: 1-855-524-5627
Support@schooljobs.com
Position Announcement
Join the Woodbury School of Business as a Professional in Residence in Data Analytics and help prepare the next generation of business professionals for success in a rapidly evolving, data-driven economy! This role offers the opportunity to combine industry expertise with teaching, allowing you to make a meaningful impact on students while staying connected to current business practices and emerging technologies. As a key link between academia and industry, you will help shape curriculum relevance, support experiential learning opportunities, and guide students as they develop the analytical, technical, and professional skills sought by today's employers. If you are passionate about applying real-world experience in the classroom, mentoring future professionals, and contributing to a collaborative academic environment focused on student achievement and workforce readiness, this position offers a rewarding and influential career opportunity.
Summary of Responsibilities
  • Designs, prepares, and delivers undergraduate and graduate courses in Data Analytics using engaging, applied instructional methods across face-to-face, hybrid, livestream, and online modalities. Integrates data visualization, statistical analysis, AI-enabled analytics tools, and modern business intelligence platforms into instruction. Evaluates student learning using appropriate assessments and provides timely, constructive feedback while fostering an inclusive, student centered learning environment.
  • Serves as a liaison between the WSB and industry partners to ensure curriculum reflects current workforce expectations. Develops employer-sponsored projects, guest lectures, case competitions, internships, and experiential learning opportunities. Maintains active engagement in the analytics profession through consulting, professional organizations, certifications, conferences, or other continuing professional development activities. Promotes industry partnerships that enhance student success and program visibility.
  • Develops measurable learning outcomes, instructional materials, cases, labs, and experiential learning projects that reflect current industry practices. Continuously improves curriculum to align with evolving technologies and employer needs. Maintains regular office hours and advises and mentors students in academic progress, professional development, internships, industry certifications, and career readiness, supporting student success from the classroom to the workforce.
  • Participates in departmental, school, and university committees and initiatives. Contributes to curriculum assessment, continuous improvement, accreditation activities, program development, recruitment, and student engagement efforts. Collaborates with faculty to assess learning outcomes and improve instructional effectiveness. Performs other related duties as assigned. Designs and administers assessments aligned to course outcomes using clear criteria/rubrics; provides timely feedback. Holds regular office hours. Advises and mentors students on career paths, skill development, professional preparation, and job-search strategies.

Qualifications / Licenses / Certifications
  • Master's degree from an accredited institution in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Operations Research, or a closely related field; or a master's degree in a related business discipline combined with substantial professional experience in data analytics.
  • Minimum of 10 years of progressively responsible professional experience in data analytics, business intelligence, data science, analytics consulting, decision support, or a closely related field.
  • Demonstrated expertise in contemporary analytics tools and technologies commonly used in industry.
  • Evidence of maintaining professional currency through industry practice, consulting, professional certifications, continuing education, or leadership in the analytics profession.
  • Demonstrated expertise in data analytics with experience applying analytical methods to support business decision-making, organizational effectiveness, and emerging technologies. Familiarity with business strategy, artificial intelligence, operations, or supply chain contexts is desirable, along with a commitment to industry engagement and student success.

Preferred Qualifications
  • Experience teaching in higher education or delivering professional training.
  • Professional certifications such as Microsoft Power BI Data Analyst Associate, Tableau Certified Professional, AWS Data Analytics, Google Professional Data Analytics, Azure Data Engineer, Databricks, SAS, Snowflake, or similar industry-recognized credentials.
  • Experience developing employer-sponsored projects, internships, or experiential learning opportunities.
  • Strong connections with Utah or regional employers in analytics, technology, finance, healthcare, manufacturing, or related industries.
  • Demonstrated leadership in applied analytics projects, consulting, or professional organizations.
  • Evidence of thought leadership through conference presentations, industry publications, white papers, or invited professional presentations.
  • Knowledge of Canvas a plus, but not required.

Knowledge / Skills / Abilities
Knowledge
  • Subject-matter knowledge of data analytics and current industry practices, tools, regulatory frameworks, and emerging trends.
  • Effective instructional strategies and current trends in higher education.
  • Student engagement, classroom management, and learning evaluation.
  • Curriculum development, measurable outcomes, and assessment alignment.
Skills
  • Proficiency with analytics and visualization tools such as Python, R, SQL, Tableau, Power BI, Excel, and related technologies.
  • Ability to teach and integrate AI-enabled analytics tools responsibly into coursework.
  • Strong classroom instruction, communication, presentation, and facilitation skills.
  • Experience designing applied projects, case studies, and authentic assessments.
  • Strong interpersonal skills with the ability to build relationships with students, faculty, alumni, and industry partners.
  • Effective mentoring and career coaching for students pursuing analytics-related careers.
Abilities
  • Teach effectively in face-to-face, hybrid, livestream, and online environments.
  • Translate complex analytical concepts into practical business applications.
  • Evaluate student learning using fair, consistent, and outcomes-based assessment methods.
  • Collaborate effectively with faculty, staff, and external stakeholders.
  • Maintain professional currency in a rapidly evolving analytics discipline.
  • Foster an inclusive, engaging, and student-centered learning environment

EEO Statement:
UVU employment decisions are made on the basis of an applicant's qualifications and ability to perform the job without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age (40 and over), disability, veteran status, pregnancy, childbirth, or pregnancy-related conditions, genetic information, or other bases protected by applicable federal, state, or local law.
Utah Valley University's dedication to exceptional care offers quality service and benefits to employees while staying committed to meeting the needs of a diverse workforce.
UVU is pleased to offer a competitive and comprehensive benefits package that supports employees and their family's overall physical and mental health, protects their income in case of unforeseen illness and life events, and assists in building financial security for retirement and the future.
Highlights from Utah Valley University's benefits package include:
  • Medical network and plan options with low employee premiums
  • Employer HSA contribution for those that elect the university's High-Deductible Health Plan
  • Other tax advantage, reimbursement account options (i.e. Flexible Spending Account & Dependent Care)
  • Dental and vision plan options
  • Incentivized wellness program
  • Employer paid basic life, Accidental Death and Dismemberment (AD&D), and Long Term Disability (LTD) coverage
  • Employee Assistance Program (EAP)
  • 401(a) Defined Contribution Plan with an employer contribution of 14.2% based on employee's compensation (100% vested on first day of full-time employment)
  • Undergraduate tuition remission benefit waiving up to 18 credit hours (each semester) for employees and their eligible dependents (spouses & children dependents unmarried and up to age 26)
  • Generous leave package which includes sick, vacation (staff only), and personal leave; 13 paid holidays; paid medical maternity and parental leave

For more information about the benefits offered, visit
01
Do you meet the required qualifications as outlined: Master's degree from an accredited institution in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Operations Research, or a closely related field; or a master's degree in a related business discipline combined with substantial professional experience in data analytics.Minimum of 10 years of progressively responsible professional experience in data analytics, business intelligence, data science, analytics consulting, decision support, or a closely related field.Demonstrated expertise in contemporary analytics tools and technologies commonly used in industry.Evidence of maintaining professional currency through industry practice, consulting, professional certifications, continuing education, or leadership in the analytics profession.Demonstrated expertise in data analytics with experience applying analytical methods to support business decision-making, organizational effectiveness, and emerging technologies. Familiarity with business strategy, artificial intelligence, operations, or supply chain contexts is desirable, along with a commitment to industry engagement and student success?
  • Yes
  • No

02
What is your highest level of education?
  • High School or equivalent
  • Associates
  • Bachelors
  • Masters
  • Ph.D.
  • Ph.D. (abd)
  • Juris Doctorate

03
How many years of experience do you have in this type of position?
  • <1
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8+

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