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Data Analyst Automation Jobs in Utah (NOW HIRING)

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 ...

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 ...

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 ...

Advanced SQL skills and/or knowledge with Python or R for data analysis and automation * Experience in Guidewire or other modern policy administration systems * Experience working with different ...

Pipeline Automation: Architect and automate data pipelines that integrate CRM (D365) and ERP ... Analytics & AI Innovation * AI Development: Build and deploy AI-driven solutions or AI agents to ...

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Data Analyst Automation information

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

AspectData Analyst AutomationData Analyst
Required SkillsData automation tools, scripting, programming (Python, SQL)Data interpretation, visualization, statistical analysis
Work EnvironmentAutomating data processes, developing scripts, optimizing workflowsAnalyzing datasets, creating reports, providing insights
CertificationsData analysis, automation tools, programming certificationsData analysis, business intelligence certifications
Industry UsageTech, finance, healthcare with automation focusVarious industries focusing on data insights

While both roles involve working with data, Data Analyst Automation specializes in automating data processes and developing scripts to improve efficiency. Data Analysts focus more on interpreting data, creating visualizations, and providing insights. The automation role requires programming skills, whereas the traditional Data Analyst emphasizes statistical analysis and reporting.

What cities in Utah are hiring for Data Analyst Automation jobs? Cities in Utah with the most Data Analyst Automation job openings:
Infographic showing various Data Analyst Automation job openings in Utah as of June 2026, with employment types broken down into 1% Locum Tenens, 80% Full Time, 13% Part Time, 2% Temporary, and 4% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.
Data Analyst

Data Analyst

Crumbl

Provo, UT • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.