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

Data Analyst

Lehi, UT · On-site +1

Position Summary The Data Analyst collects, integrates, manages, and analyzes complex data to support strategic decisions. This position transforms data from multiple business systems into reliable ...

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 ...

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 ...

The Configuration and Data Management (CDM) organization is responsible for ensuring our products are under configuration control and delivered on time. The CDM Organization consists of multiple ...

New

Lead business analysis, strategic planning, and migration initiatives supporting the transition ... Support business process reengineering, solution design, data mapping, migration planning, testing ...

New

... data analysis and AI training and inference. Designed from the ground up to make AI simple to ... Rotational weekend shift once every 8-12 weeks and occasional holiday coverage.

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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 7, 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:

Full-time

Posted 5 days ago


Job description

Position Summary

The Data Analyst collects, integrates, manages, and analyzes complex data to support strategic decisions. This position transforms data from multiple business systems into reliable reporting, actionable insights, and forecasts that help leadership understand business performance and identify opportunities for growth and improvement.


Job Objectives

  1. Build predictive models to drive strategic growth.
  2. Design and manage performance monitoring systems.
  3. Deliver data-driven insights to address business challenges/opportunities.


Essential Job Duties

  • Partner with executives and department leaders to identify business questions, analytical needs, performance indicators, and opportunities for improvement.
  • Develop sales, revenue, demand, customer-acquisition, and marketing-performance forecasts.
  • Collect, integrate, and reconcile data from sales, marketing, website, customer, product, financial, and operational systems.
  • Develop and maintain automated dashboards, reports, scorecards, and executive-level performance summaries.
  • Use appropriate technologies to extract, clean, transform, validate, and analyze large and complex datasets.
  • Analyze marketing performance, including customer acquisition costs, conversion rates, channel profitability, return on advertising spend, and campaign effectiveness.
  • Analyze sales and customer behavior, including purchasing patterns, retention, repeat purchases, product affinity, customer segmentation, and lifetime value.
  • Build tools that help leadership evaluate potential changes in pricing, advertising investment, customer acquisition, conversion, and retention.
  • Investigate discrepancies between reporting systems and recommend solutions to improve data accuracy and consistency.
  • Work with technical teams and third-party vendors to implement new data sources, integrations, and reporting capabilities.
  • Present complex analyses through clear reports, visualizations, presentations, and recommendations for nontechnical audiences.
  • Train stakeholders to interpret dashboards, reports, KPIs, and analytical findings accurately.
  • Prioritize analytical projects according to potential business impact, urgency, data availability, and required resources.
  • Establish and follow standards for data governance, access, security, privacy, retention, and responsible data use.
  • Assist in standardizing definitions and reliable sources of truth for revenue, orders, customers, products, marketing performance, and other key business metrics.


Skills and Qualifications

  • Five or more years of professional experience in data analytics, analytics engineering, business intelligence, or a related discipline.
  • Preferred Bachelor's degree in computer science, statistics, mathematics, economics, information systems, business analytics, or a related field.
  • Experience designing and maintaining relational databases, data models, or cloud-based data warehouses.
  • Experience building or maintaining automated ETL/ELT pipelines that move and transform data between business systems.
  • Advanced data-cleaning, reconciliation, scrubbing, and manipulation skills.
  • Experience with at least one business-intelligence or data-visualization platform, such as Power BI, Tableau, Looker, or a comparable tool.
  • Experience developing dashboards, reports, forecasts, or analytical models that influenced business decisions.
  • Ability to translate ambiguous business questions into well-defined analytical projects and measurable outcomes.
  • Ability to recognize data-quality issues and determine whether available data can support a valid conclusion.
  • Preferred experience working with e-commerce, direct-to-consumer, education, publishing, subscription, or digital-product businesses.


Core Competencies

  • Forecasting and advanced data analysis
  • Marketing and sales analytics
  • Business intelligence and data visualization
  • Data quality, governance, and documentation
  • Strategic and critical thinking
  • Independent problem-solving and accountability


Supervisory Responsibility

This position has no direct reports but collaborates with team leads in the Marketing, Customer Experience, and Operations departments.


Work Environment & Physical Demands

This position works in a home office setting. 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.

While performing the duties of this job, the employee is regularly required to use hands to finger, handle or feel; reach with hands and arms; and talk or hear. The employee frequently is required to stand, sit and walk. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.


Position Type and Expected Hours of Work

This is a full-time position. Days and hours of work are between Monday through

Friday. Expected hours: 37-40 per week, flexible schedule between stated hours.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.


We are excited to be part of a growing company. This growth provides opportunities to all of our employees and in turn our mission, and expansion provides opportunities to our client base. It is important to note that this positioncan onlybe offered to individuals residing in the following states: AZ, FL, GA, ID, KY, MI, MN, MS, OH, OK, PA, SC, TN, TX, UT, VA.


Please note: We participate in E-Verify; this program verifies workers are authorized to work in the United States.