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Data Analyst Instructor Jobs in Provo, UT (NOW HIRING)

... instructor. The General Manager is expected to undergo the JETSET Pilates training program and ... Run reports and analyze metrics on key performance indicators, including sales, utilization ...

Lab Assistant

Cedar Valley, UT · On-site

$23.78/hr

... post analytic phases. * Able to document activities, record results and insert/retrieve data ... by course instructor in lecture environment. * Assist in the supervision of lab activities to ...

Instructor-led training * Virtual workshops * Certifications * Knowledge base content * Webinars ... Analyze learning engagement, completion rates, adoption trends, and customer outcome metrics. * Use ...

... instructors * Ensures that information communicated to Franchise Partners is aligned with training ... If you would like more information about how your data is processed, please contact us. apply for ...

Career development and growth opportunities, such as Grooming Mentor and Grooming Instructor Job ... productivity, analyze data to identify areas for improvement, and develop action plans

Career development and growth opportunities, such as Grooming Mentor and Grooming Instructor Job ... productivity, analyze data to identify areas for improvement, and develop action plans

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Data Analyst Instructor information

See Provo, UT salary details

$32.2K

$78.2K

$128.7K

How much do data analyst instructor jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data analyst instructor in Provo, UT is $78,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst Instructor, you need advanced knowledge of data analysis techniques, statistics, and practical experience using analytical tools, typically supported by a degree in a quantitative field and teaching or facilitation experience. Familiarity with tools such as Excel, SQL, Python, R, and data visualization platforms like Tableau, as well as instructional design certifications, is highly beneficial. Strong communication, patience, and the ability to explain complex concepts clearly help instructors engage and support diverse learners. These skills ensure effective instruction and empower students to build confidence and proficiency in data analysis.

What field is the highest paid data analyst?

The highest paid data analysts typically work in finance, technology, or consulting industries, where specialized skills in machine learning, big data tools, and advanced analytics are in high demand. Senior roles with extensive experience and certifications such as CFA or advanced degrees tend to command higher salaries in these fields.

What are some common challenges Data Analyst Instructors face when teaching students with varying levels of experience?

Data Analyst Instructors often encounter classrooms composed of students with diverse backgrounds, ranging from complete beginners to those with prior experience in analytics or programming. Balancing lesson pacing and ensuring everyone stays engaged can be challenging. Instructors usually address this by providing differentiated assignments, offering extra support to those who need it, and encouraging peer collaboration. Adapting teaching methods and using real-world datasets also helps bridge knowledge gaps and keep the material relevant and accessible for all learners.

What is the difference between Data Analyst Instructor vs Data Analyst?

AspectData Analyst InstructorData Analyst
Required CredentialsBachelor's degree in data-related field, teaching experience often preferredBachelor's or higher in data, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentEducational settings, training programs, online coursesBusiness environments, analytics teams, consulting firms
Employer & Industry UsageEducational institutions, training companies, online platformsCorporations, finance, healthcare, tech companies
Common Search & Comparison IntentUnderstanding teaching roles in data analyticsUnderstanding data analysis roles and skills

The main difference between a Data Analyst Instructor and a Data Analyst lies in their primary focus. A Data Analyst Instructor teaches data analysis concepts and skills, often in educational or training settings, whereas a Data Analyst applies those skills in real-world business environments to interpret data and support decision-making.

Is data analyst still relevant in 2026?

Data analyst roles remain relevant in 2026 as organizations continue to rely on data-driven decision-making, with skills in SQL, Excel, and data visualization tools like Tableau or Power BI in demand. The role is expected to evolve with advancements in automation and machine learning, but core analytical skills will still be essential for interpreting data and providing insights.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the need for skilled data analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and developing insights that require domain knowledge and critical thinking. The role continues to evolve, emphasizing skills in data visualization, programming, and understanding AI tools.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals transition into data analysis later in their careers by acquiring skills in tools like Excel, SQL, and Python, and obtaining relevant certifications. Employers value experience and analytical skills regardless of age.

What does a Data Analyst Instructor do?

A Data Analyst Instructor teaches students or professionals how to analyze data, use statistical tools, and interpret results to help organizations make data-driven decisions. They develop lesson plans, create hands-on exercises, and guide learners through complex concepts like data cleaning, visualization, and modeling. Instructors often use real-world examples and software such as Excel, SQL, Python, or R to provide practical experience. Their goal is to equip students with the skills needed to become proficient data analysts.
What are popular job titles related to Data Analyst Instructor jobs in Provo, UT? For Data Analyst Instructor jobs in Provo, UT, the most frequently searched job titles are:
What job categories do people searching Data Analyst Instructor jobs in Provo, UT look for? The top searched job categories for Data Analyst Instructor jobs in Provo, UT are:
What cities near Provo, UT are hiring for Data Analyst Instructor jobs? Cities near Provo, UT with the most Data Analyst Instructor job openings:
WSB Adjunct Instructor - Business Statistics

WSB Adjunct Instructor - Business Statistics

Utah Valley University

Orem, UT • On-site

$3K/wk

Part-time

Posted 12 days ago


Utah Valley University rating

7.1

Company rating: 7.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

350th of 536 rated colleges and universities


Job description

Salary: Depends on Qualifications
Location : Main Campus - Orem
Job Type: Adjunct/Overload Teaching
Job Number: FY2606011
Division: VP Academic Affairs
Department: Woodbury School of Business
Opening Date: 06/01/2026
Closing Date: 7/15/2026 11:59 PM Mountain
Required Documents Needed to Apply: Resume
Applicant Support: 1-855-524-5627
Support@schooljobs.com
Position Announcement
The Woodbury School of Business invites applications for an adjunct instructor to teach Business Statistics during the Fall 2026 semester
The course introduces students to foundational statistical concepts and tools used in business and economics, including data collection, data visualization, summary measures, probability, probability distributions, sampling distributions, interval estimation, hypothesis testing, correlation, and regression analysis.
The course also emphasizes quantitative reasoning, critical thinking, and the use of Excel for statistical analysis.
Schedule: Tuesday/Thursday, twice a week, face-to-face classes, up to 3 sections
Compensation: $3,788 per semester
Summary of Responsibilities
The instructor will be responsible for:
  • Teaching face-to-face sections of Business Statistics.
  • Preparing and delivering engaging class sessions that help students understand and apply statistical concepts.
  • Using Excel and/or other appropriate tools to demonstrate statistical analysis.
  • Helping students connect statistics to real-world business and economics problems.
  • Assessing student learning through homework, exams, projects, or other appropriate assignments.
  • Maintaining regular communication with students and responding to student questions in a timely manner.
  • Following approved course learning outcomes, department expectations, and university policies.

Qualifications / Licenses / Certifications
Applicants should have:
  • A master's degree in statistics, business analytics, economics, finance, management, data analytics, business mathematics, or a closely related field.
  • Demonstrated ability to teach introductory statistics or quantitative methods.
  • Proficiency with Excel and common statistical concepts used in business settings.
  • Strong communication skills and a commitment to student learning.
Preferred Qualifications
  • Preference may be given to candidates with:
  • Prior college-level teaching experience.
  • Experience teaching business statistics, analytics, economics, or quantitative methods.
  • Experience using learning management systems such as Canvas.
  • Experience with McGraw-Hill Connect or similar online homework platforms.
  • Professional experience applying statistics, analytics, or quantitative decision-making in business settings.

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.
Although part-time and adjunct (less than 30 hours per week) employees are ineligible for the full-time employee benefits package, the university is pleased to offer the following:
  • Undergraduate tuition remission benefit:
    • Part-time: waives 100 percent of tuition and general student fees for up to 3 credit hours or 1 course after 6 consecutive months of employment and a minimum of 480 hours worked (dependents do not qualify)
    • Adjunct: waives 100 percent of tuition and general student fees for one course per semester in which there is an active teaching assignment at the university (dependents do not qualify)
  • Access to the Employee Assistance Program (EAP)
  • Access to Campus Recreation and Wellness
  • Exclusive cash rewards through Utah Community Credit Union's (UCCU) branch on UVU's campus when becoming a member

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Do you have a good grasp of business statistics?
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