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Data Analyst Jobs in Utah (NOW HIRING)

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and external data. This role will support our Store Analytics (Operations and Finance), Menu and Tech teams.

Vivint is seeking an experienced Data Analyst to develop and maintain reporting for the Sales Operations side of its direct-to-home sales division. We are looking for someone who is hungry to learn ...

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a ...

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and external data. This role will support our Store Analytics (Operations and Finance), Menu and Tech teams.

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and external data. This role will support our Store Analytics (Operations and Finance), Menu and Tech teams.

Support corporate-facing reporting deliverables including operating metrics, budget summaries, and performance tracking * Assist with ad hoc data pulls and analysis as needed by leadership What We're ...

Data Analyst Location : Salt Lake City/UT Duration : 12 Months Contract : Requirements : * Degree - Candidate must possess a bachelor's degree from an accredited college in Computer Science ...

Assists in the analysis of underlying issues arising from investigations into requirements. Assists the project team in the completion of project-related documentation. Recommended Experience ...

Data Analyst HydroJug, Inc. -- Systems Team / BI & Data Ogden, UT | On-Site | Reports to Data Lead About the Role This is the dedicated data analyst seat for Finance. You will partner daily with CFO ...

New

We are seeking a detail-oriented Jr. Data Analyst to serve as the operational backbone of our sales compensation and data processes. In this role, you will be responsible for the accurate and timely ...

Business Data Analyst Location: St. George, Utah (No remote) TCN is seeking an innovative and driven individual to join our team as a Business Data Analyst. As a key player in shaping the future of ...

Business Data Analyst Location: St. George, Utah (No remote) TCN is seeking an innovative and driven individual to join our team as a Business Data Analyst. As a key player in shaping the future of ...

We are seeking a detail-oriented Jr. Data Analyst to serve as the operational backbone of our sales compensation and data processes. In this role, you will be responsible for the accurate and timely ...

Senior Data Analyst

Murray, UT · On-site +1

$80K - $101K/yr

Senior Data Analyst Inside Real Estate is a fast-growing, independently-owned real estate software firm that serves as a trusted technology partner to over 500,000 top brokerages, agents, and teams.

The Financial Data Analyst supports two core functions: Financial Planning & Analysis (FPA) and Internal Audit. This role is responsible for transforming data into actionable insights that drive ...

Senior Data Analyst

Salt Lake City, UT · On-site +1

$80K - $153K/yr

Senior Data Analyst The Role We have an outstanding technology opportunity in the Core & Common Data Products and Solutions Technology Team (formerly UCP) that is building a 360-degree view of the ...

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Showing results 1-20

Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do data analyst jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data analyst in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Utah? The most popular types of Data Analyst jobs in Utah are:
What are popular job titles related to Data Analyst jobs in Utah? For Data Analyst jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Data Analyst jobs? Cities in Utah with the most Data Analyst job openings:
Data Analyst

Data Analyst

Crumbl

Provo, UT • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and external data. This role will support our Store Analytics (Operations and Finance), Menu and Tech teams.


This individual serves as a consultant to their functional departments, understanding their key business problems and using data to accomplish their OKRs and improve business performance.


This is a growing department, and the position will also support team initiatives to drive a data-informed company culture and mindset.

Responsibilities
  • Understands both the short-term goals and long-term strategy of their assigned department. 

  • Supports their assigned department to accomplish their OKRs through data requests, data visualization, process improvements, and impact measurement, etc. 

    • Uses the team's standard methodology of data collection, reporting, etc.

    • Interprets and analyzes results using statistical techniques

    • Provides ongoing reports and maintains existing dashboards 

    • Identifies and interprets trends/patterns in complex data sets

  • Clearly defines problems, conducts analyses using the correct methodologies in order to answer the "key question" to those stated problems or strategies and presents findings in an easy to understand manner and with actionable recommendations.

  • Uses a strategic mindset when solving problems and testing solutions to ensure a positive, actionable outcome

  • Creates visually stimulating and effective reports and dashboards, understanding their audience and department needs 

  • Deeply seeks and understands the root of problems and questions asked. Doesn't simply "complete tasks" but ensures the task is purposeful and drives positive impact

  • Builds and maintains strong relationships with stakeholders around the trust and use of data by applying strong verbal and written presentation skills and communicating technical details effectively 

  • Locates and improves new/existing opportunities for automation and processes for their assigned department 

  • Encourages and exemplifies a data-informed culture and mindset

  • Works with Data Analytics Manager and Data Integrity Project Manager: 

    • Promote statistical efficiency and quality of internal and external data 

    • Ensure data acquired from primary or secondary sources are used and analyzed correctly

  • Works on quarterly team initiatives, as directed by leadership

  • Collaborate and knowledge share with other analysts to 

    • Develop and grow analytical skills 

    • Work on team initiatives 

    • Connect department KRs back to company KPIs

  • Continuously trains and improves knowledge of statistics, data analytics, tools, etc.

Qualifications
  • A Bachelor's Degree in a field related to data is preferred (Mathematics, Economics, Computer Science, Information
  • Management, Statistics, etc.), but not required.
  • Recent experience in data analytics or a related field.
  • Adept understanding of SQL required
  • Adept understanding of Excel required.
  • Knowledge of statistics.
  • Experience with Tableau.
  • Passion for data integrity Proactive problem solver
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Excellent verbal and written communication
  • Snowflake knowledge is preferred but not required.
  • Positive attitude and has the ability to handle change with professionalism and authenticity
  • DBT knowledge is preferred, but not required.
  • Python/R is preferred but not required.

Benefits & Perks

- Medical, dental, and vision benefits
- 15 days PTO/year
- 10 paid holidays
- Paid parental leave
- Personal phone bill reimbursement
- Gym reimbursement
- Corporate DoorDash DashPass membership
- Regular company and team activities
- 401k with competitive matching contribution plan
- Excellent opportunities for career growth
- Work in a hyper-growth company

Crumbl was founded in 2017 by Jason McGowan & Sawyer Hemsley in Logan, Utah. It is now the fastest-growing cookie company in the nation with over 1000 locations in the USA and Canada. Crumbl is powered by cutting-edge technology, iconic branding, delicious desserts, and passionate people.

Crumbl HQ and franchisees provide employment for over 26,000 people across the United States, and all of our franchises are owned and operated by independent members of the local community.

Crumbl's 200+ unique cookie flavors rotate weekly and are served in our famous pink box! 

Crumbl is an equal opportunity employer. Crumbl provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

Recruitment Agencies: Crumbl HQ doesn't typically partner with 3rd party recruitment resources. If we require assistance on this search we will contact selected partners directly; we do not accept unsolicited candidate submissions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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