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Weekend 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.

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.

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 Senior

Salt Lake City, UT · On-site +1

$83K - $105K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite ...

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 ...

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

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.

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

Weekend Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do weekend data analyst jobs pay per year?

As of Jun 13, 2026, the average yearly pay for weekend 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 Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

What are Weekend Data Analysts?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What Does a Weekend Data Analyst Do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and Excel, often through online courses or certifications, regardless of age.

Is a data analyst still in demand?

Data analysts are currently in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are valuable, and the role often offers flexible schedules including weekend shifts for certain organizations.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights. Data analysts often use AI and machine learning tools to enhance their work, but human judgment and domain expertise are still critical components of the job.

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

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

Do data analysts work on weekends?

Data analysts typically work during regular business hours, Monday through Friday, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Weekend work is more common in industries like finance, healthcare, or in roles involving real-time data monitoring. Flexibility depends on the employer and specific job responsibilities.

What does a typical weekend shift look like for a Weekend Data Analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.
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 cities in Utah are hiring for Weekend Data Analyst jobs? Cities in Utah with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in Utah as of June 2026, with employment types broken down into 1% As Needed, 57% Full Time, 38% Part Time, 3% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.
Data Analyst

Data Analyst

Crumbl

Provo, UT

Full-time

Posted 28 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.