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Analytics Jobs in Sandy, UT (NOW HIRING)

As an Associate Analyst, you'll help transform research into the reports, presentations, and insights that healthcare leaders use to make better decisions. Working alongside Senior and Principal ...

As an Associate Analyst, you'll help transform research into the reports, presentations, and insights that healthcare leaders use to make better decisions. Working alongside Senior and Principal ...

As an Analytics Engineer, you will build and maintain analytics assets that turn business logic into reliable, reusable data products. Your work will include dimensional models, trusted datasets ...

As an Analytics Engineer, you will build and maintain analytics assets that turn business logic into reliable, reusable data products. Your work will include dimensional models, trusted datasets ...

As an Analytics Engineer, you will build and maintain analytics assets that turn business logic into reliable, reusable data products. Your work will include dimensional models, trusted datasets ...

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Analytics information

See Sandy, UT salary details

$61.3K

$119.1K

$170.1K

How much do analytics jobs pay per year?

As of Jul 16, 2026, the average yearly pay for analytics in Sandy, UT is $119,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What is analytics and what do analytics professionals do?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but overall, data analysts and related roles tend to offer competitive salaries.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types based on their focus: business analysts, who interpret data to inform business decisions; operations analysts, who optimize processes; financial analysts, who analyze financial data; and marketing analysts, who evaluate marketing campaigns and customer data. Each type requires specific skills and tools, such as SQL, Excel, and data visualization software, to perform their roles effectively.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What are the key skills and qualifications needed to thrive in Analytics, and why are they important?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, providing insights, and making strategic decisions. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human judgment still vital in the analytics field.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

Is 40 too late for data science?

The analytics field, including data science, values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with statistical knowledge and relevant certifications, can help late entrants succeed. Age is less a barrier than acquiring the necessary technical skills and building a strong portfolio.
What are the most commonly searched types of Analytics jobs in Sandy, UT? The most popular types of Analytics jobs in Sandy, UT are:
What are popular job titles related to Analytics jobs in Sandy, UT? For Analytics jobs in Sandy, UT, the most frequently searched job titles are:
What job categories do people searching Analytics jobs in Sandy, UT look for? The top searched job categories for Analytics jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Analytics jobs? Cities near Sandy, UT with the most Analytics job openings:
Data / Reporting Analytics Management

Data / Reporting Analytics Management

University of Utah

Salt Lake City, UT • On-site

$75K - $90K/yr

Full-time

Retirement

Re-posted 6 days ago


University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

345th of 555 rated colleges and universities


Job description

Announcement
Details
Open Date
07/02/2026
Requisition Number
PRN45548B
Job Title
Data / Reporting Analytics Management
Working Title
Mgr of UAIR Survey Resource Center
Career Progression Track
M00
Track Level
M3 - Manager, M2 - Senior Supervisor, M1 - Supervisor
FLSA Code
Administrative
Patient Sensitive Job Code?
No
Standard Hours per Week
40
Full Time or Part Time?
Full Time
Shift
Day
Work Schedule Summary
8am-5pm Mountain Time, Monday through Friday
VP Area
Academic Affairs
Department
00822 - University Analytics & Institutional Reporting
Location
Campus
City
Salt Lake City, UT
Type of Recruitment
External Posting
Pay Rate Range
$75,000 - $90,000
Close Date
07/31/2026
Priority Review Date (Note - Posting may close at any time)
Job Summary
The University Analytics & Institutional Reporting (UAIR) office houses a transformational group of data professionals that turn complex university data into meaningful, highly valued information that is trusted by university leadership to drive strategic decisions, and generate official figures reported to regulatory, external and public agencies.
The UAIR team operates with an iterative mindset of continuous improvement, learning and adapting strategies as we go. We believe the strengths and knowledge each person brings to the team bolster our collective work and aim for a collaborative environment where we thrive together while tapping into our strongest individual contributions. If you're the type of person who loves data and wants to know your work has meaning, you may find your career home in our office.
We are seeking an experienced manager who will play a pivotal role in driving strategic survey analytics across the university. This position will be responsible for executing, interpreting, and analyzing survey projects and datasets to support strategic planning, operational improvements, and institutional planning.
The Survey Manager oversees a team that serves as the university's primary point of contact for institutional survey coordination, overseeing the full lifecycle of surveys administered to students, faculty, and staff. This role leads the development, execution, and maintenance of data driven processes, applications, and reporting systems that support institutional research and strategic decision making. Acting as a subject matter expert in survey methodology, the Survey Manager offers consultative services to campus partners to design rigorous research instruments, ensure methodological integrity, and translate survey findings into actionable insights. The manager combines advanced technical skills in survey research methods, data analysis, reporting, and visualization with a deep understanding of the university context. The manager ensures the generation of executive level qualitative and quantitative analyses, communicating results clearly and accurately, and enabling survey data to be leveraged by the university.
The successful candidate will be a seasoned professional with a strong background in social science, data analysis, data visualization, and collaboration with decision-makers and stakeholders.
Like many areas at the University of Utah, our office is a hybrid work environment. More details can be discussed in an interview. Our office is not currently able to support individuals seeking sponsorship for visa-living in and working from the United States is a requirement.
Learn more about the great benefits of working for University of Utah: benefits.utah.edu
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
  • End to End Survey Project Leadership - Lead all phases of internal survey projects, including scoping, design, sampling, deployment, analysis, and dissemination of results.
  • Stakeholder Consultation - Partner with campus stakeholders to clarify research objectives, identify information needs, and determine the most effective strategies for collecting valid and reliable data.
  • Survey Design & Development - Design, develop, and implement surveys aligned with institutional strategic goals, mission, and operational decision making needs.
  • Sampling Strategy Development - Create sampling plans that ensure representativeness and methodological rigor across diverse university populations.
  • Qualitative Research - Conduct focus groups, interviews, or other qualitative methods to gather deeper insights when appropriate.
  • Survey Administration Methodology - Select appropriate administration modes (online, mixed mode, in person, etc.) based on audience, data type, and research goals.
  • Quantitative & Qualitative Analysis - Analyze survey data using statistical and qualitative techniques; identify trends, correlations, and significant findings that inform institutional priorities.
  • Reporting & Visualization - Produce clear, concise, and visually compelling reports, dashboards, and presentations tailored to executive, administrative, and campus audiences.
  • Communication of Findings - Present results verbally and in writing, translating complex data into actionable insights for decision makers.
  • Institutional Survey Calendar Management - Maintain and oversee the university's master survey calendar to prevent survey fatigue, ensure coordination across units, and uphold institutional standards for survey administration.
  • Institutional Expertise & Consultation - Serve as a university wide resource on survey best practices, tools, processes, and research standards.

Minimum Qualifications
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).
Department may hire employee at one of the following job levels:
Supervisor, Data / Reporting Analytics Management: Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree.
Senior Supervisor, Data / Reporting Analytics Management: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.
Manager, Data / Reporting Analytics Management: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.
Preferences
  • Graduate level training in survey research - Graduate coursework or a graduate degree in a field involving survey research, such as political science, psychology, sociology, public policy, education, or a related discipline; a Bachelor's degree with substantial methodological coursework is also appropriate.
  • Advanced survey methodology knowledge - Familiarity with complex survey design, sampling strategies, instrument development, and mixed methods research approaches.
  • Higher education research experience - Experience working with institutional surveys, assessment initiatives, or institutional research functions within a university setting.
  • Data visualization and reporting tools - Experience with tools such as Tableau, Power BI, R, Python, or similar platforms for producing dashboards, visualizations, and analytical reports.

Type
Benefited Staff
Special Instructions Summary
Additional Information
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah Non-Discrimination page.
Online reports may be submitted at https://oeo.utah.edu
https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850