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Weekend Data Analyst Jobs in Orem, UT (NOW HIRING)

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Occasional evening and weekend work may be required as job duties demand. Employees are also ...

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Occasional evening and weekend work may be required as job duties demand. Employees are also ...

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Occasional evening and weekend work may be required as job duties demand. Employees are also ...

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Data Analyst II : 26-02311

Draper, UT · On-site

$40 - $45/hr

SQL (advanced), Python (intermediate), Data Visualization (advanced), Excel (advanced), Statistical Analysis (intermediate) Contract Type: W2 Only Duration: 6+ Months Location: Austin, TX (#LI ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do * Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

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Weekend Data Analyst information

See Orem, UT salary details

$29.6K

$71.8K

$118.2K

How much do weekend data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for weekend data analyst in Orem, UT is $71,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $84,300.00 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 is a weekend data analyst?

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.

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.

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 Orem, UT?

The most popular types of Data Analyst jobs in Orem, UT are:

What are popular job titles related to Weekend Data Analyst jobs in Orem, UT?

For Weekend Data Analyst jobs in Orem, UT, the most frequently searched job titles are:

What cities near Orem, UT are hiring for Weekend Data Analyst jobs?

Cities near Orem, UT with the most Weekend Data Analyst job openings:

Full-time

Posted 8 days ago


Job description

Summary:

The Data Analyst independently analyzes diverse data sets to identify trends, deliver insights, and guide strategic business decisions. This mid-level role collaborates across departments, develops executive-ready reports and dashboards, and plays a key role in interpreting key performance indicators (KPIs) to influence business outcomes.

Essential Functions:

  • Analyze structured and unstructured data using Excel and SQL to support decisions across marketing, sales, and operations.Create presentations, graphics, and reports summarizing key insights.
  • Understand and apply knowledge of company metrics, sales drivers, and KPIs.
  • Provide analysis supporting campaigns, events, and initiatives.
  • Execute analytic projects to support company growth and retention strategies.
  • Support data quality efforts by flagging inconsistencies and helping document known issues.
  • Conduct moderately complexanalyses such as correlation, trend forecasting, and variance analysis to inform strategy.
  • Design, build, and maintain recurring dashboards or self-service tools using BI platforms.
  • Extract, transform, validate, and analyze data from multiple systems to ensure consistency and usability.Present findings to upper management using well-structured reports and visuals.
  • Provide actionable insights related to company KPIs, trends, and initiatives.
  • Collaborate across departments to support strategic data needs.
  • Develop tools to facilitate business users' own analysis through AI tools

Skills & Qualifications:

  • Proficiency in Excel and intermediate SQL.
  • Strong critical thinking and problem-solving skills.
  • Experience with business intelligence tools and dashboards.
  • Strong presentation and storytelling abilities.
  • Knowledge of sales and marketing metrics and their influence on business outcomes.
  • Experience withagenticAI tools

Required Education and Experience:

  • 3-5 years of experience in business analytics or a related quantitative role.
  • A combination of education and experience may meet this requirement.

Preferred Education and Experience:

  • Bachelor's degree in Business, Statistics, Computer Science, Information Technology, Engineering, Accounting, or relatedfield.

Supervisory Responsibility:

This job does not have supervisory responsibilities.


Work Environment:

This job operates in a professional office environment. The role routinely uses standard office equipment such as a laptop, desktop, smartphone, and photocopiers. The noise level in the work environment is usually moderate. Essential oils are worn and/or diffused in the work environment.


Position Type/Expected Hours of Work:

This position requires the incumbent to be physically present at the assigned worksite. The regular schedule is from 8 a.m. to 5 p.m., with anhourlunch, Monday through Friday. Occasional evening and weekend work may be required as job duties demand. Employees are also expected to work at least one non-convention farm event a year and to work at the annual company convention.

Exact hour requirements can be reasonably modified as necessary for the business needs by the employee's manager.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Specific vision abilities of this job include close vision and the ability to adjust focus. The employee is required to type, file, and occasionally lift office supplies up to 20 pounds. The employee must be physically able to tolerate the scent of essential oils worn or diffused.


Equal Employment Opportunity:

Young Living is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran status and will not be discriminated againston the basis ofdisability.


Sponsorship:

Young Living does not provide visa sponsorship for this position. Applicants must be currently authorized to work in the United States on a full-time basis.


Note:

This job description is not intended to be all-inclusive. Employees may perform other related duties as needed to meet the ongoing needs of the organization.