1

Weekend Data Analyst Jobs in Utah (NOW HIRING)

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80K - $101K/yr

Serve as a senior analytics partner to the Credit team, providing data-driven insights across credit risk, portfolio performance, underwriting, and loss mitigation * Develop, optimize, and maintain ...

Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila, Philippines Job Purpose: Navitas Semiconductor (Nasdaq: NVTS) is a next-generation power semiconductor leader ...

Ensures accurate parametric data collection, analysis, and delivery for assigned test programs, while providing technical expertise in real-time mission support environments. Employees will be ...

Analyze large, complex data sets (tens of millions of rows) and deliver actionable insights across multiple business departments. * Perform complex data analysis, statistical modeling, and predictive ...

next page

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.

ILI Signal Data Analyst

T D Williamson

Salt Lake City, UT • On-site

Full-time

Posted 4 days ago


Job description

At TDW we put people first - that means working everyday to ensure the pipelines that run through our communities are operating safely and reliably. What sets us apart is our expertise, experience and commitment.

Each day we dedicate ourselves to treating each other, our customers and our community with care and respect.

Overview

Responsible for developing a basic understanding of pipeline design, operation, and integrity practices to learn how to analyze pipeline data with TDW's proprietary software and accurately evaluate in-line inspection data to provide comprehensive reports detailing the current conditions of our customer's pipeline systems.

NOTE: We will consider candidates from Salt Lake City, Edmonton, Canada, and Tulsa, Oklahoma.

Key Responsibilities

Primary duties may include, but are not limited to:

  • Visual analysis of pipeline integrity threats such as corrosion and deformations through the use of proprietary software

  • Attend scheduled meetings and trainings to ensure adherence to current TDW initiatives and processes

  • Acquire necessary skills to obtain and maintain industry-required analysis certifications

  • Create reports to produce a comprehensive overview of pipeline integrity

  • Work under and meet strict deadlines

  • Coordinate with the software development team in bug identification and software enhancements

  • Effectively work and communicate in a team environment

Experience

  • High School Diploma required. Bachelor's degree preferred

Knowledge, Skills, and Abilities

  • Demonstrated ability to be detailed oriented and analytical

  • Ability to perform analysis of visual-based data

  • Proficient computer skills and intermediate knowledge of Microsoft Excel

  • Good basic mathematics and science skills

  • Proficient written and verbal communication skills in English

  • Ability to learn new internal software programs