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Weekend Data Analyst Jobs in Utah (NOW HIRING)

Wipro Limited

Data Analytics L1(CONTRACT)

Santa Clara, UT · On-site

$60K - $148K/yr

Data Analytics L1(CONTRACT) City: Santa Clara State/Province: California Posting Start Date: 7/30/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

Raytheon

Principal Analyst Data Manager

Provo, UT

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 ...

KIHOMAC

Data Management Analyst

Layton, UT · On-site

Analyze contract requirements, Statements of Work (SOW), Contract Line Item Numbers (CLINs), Data Item Descriptions (DIDs), and CDRLs to establish data deliverable requirements and schedules

KIHOMAC

Data Management Analyst

Layton, UT · On-site

Analyze contract requirements, Statements of Work (SOW), Contract Line Item Numbers (CLINs), Data Item Descriptions (DIDs), and CDRLs to establish data deliverable requirements and schedules

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Utah

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 Aug 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 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.
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Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Utah as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Data Analyst, Sales and Marketing

BetterBody Foods & Nutrition, LLC

Lindon, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Description

The Data Analyst transforms internal and external data into clear insights that support sales, marketing, product, and retail strategy. This role partners with teams across the company to evaluate performance, identify growth opportunities, improve reporting, and support informed decisions. 

The position uses AI tools throughout the analytical process to accelerate research, develop solutions, automate routine work, and create effective deliverables. The ideal candidate is curious, detail oriented, comfortable learning new technology, and able to translate complex information into practical recommendations. 


WHAT YOU'LL DO 

  • Analyze sales, category, retailer, marketing, and competitive performance to identify trends, risks, and growth opportunities. 
  • Gather, combine, and validate data from internal systems, syndicated data providers, distributors, retailers, ecommerce platforms, and other sources. 
  • Use Codex and other AI tools to support research, write and troubleshoot SQL or code, automate workflows, and improve reporting processes. 
  • Create dashboards, recurring reports, presentations, and ad hoc analyses that clearly communicate business performance. 
  • Support sales and strategic projects with retailer and category insights, including assortment, market share, distribution, pricing, and product velocity. 
  • Present findings and recommendations to Sales, Marketing, leadership, and other partners across the company. 
  • Review analytical work and AI generated output to ensure accuracy, sound methodology, and appropriate handling of company data. 

 Benefits

- Opportunity for Advancement

- Quarterly Bonuses

- 12 Paid Holidays plus a Floating Holiday and PTO

- Sick Days (separate from PTO)

- Employee Discounts on Product

- 401k Match

- Medical, Dental, Vision, and Life Insurance

- HSA Match

- Employee Referral Bonus

- Clean Working Environment


Requirements

 QUALIFICATIONS 

  • Bachelor's degree in Data Analytics, Business, Economics, Statistics, Information Systems, Finance, or a related field, or equivalent practical experience. 
  • Experience analyzing sales, marketing, retail, or other business data. 
  • Experience using AI tools such as Codex, ChatGPT, Microsoft Copilot, or Gemini to support analytical, technical, or research work. 
  • Strong analytical and problem solving skills, including the ability to turn an open question into a structured analysis. 
  • Proficiency in Microsoft Excel or Google Sheets. 
  • Working knowledge of SQL and experience with databases or cloud data warehouses. 
  • Experience creating clear reports, visualizations, and presentations. 
  • Strong written and verbal communication skills. 
  • Ability to collaborate across teams, manage competing priorities, and meet deadlines. 
  • A proactive approach and an interest in learning new tools, data sources, and business processes. 

PREFERRED QUALIFICATIONS 

  • Experience using Codex or similar tools to develop scripts, work with APIs, automate processes, or analyze data. 
  • Experience with CPG or retail data, including syndicated, distributor, or retailer specific sources. 
  • Experience with BigQuery, Looker Studio, Power BI, Tableau, or similar platforms. 
  • Familiarity with market share, distribution, velocity, assortment, pricing, and other retail analytics concepts. 
  • Experience creating customer facing sales presentations or data driven selling stories. 

WORK ENVIRONMENT This position is primarily performed in an office environment and requires regular computer based work. The current expectation is onsite work, with any hybrid arrangement determined by company policy and business needs.  

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