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Temporary Data Analyst Jobs in Utah (NOW HIRING)

Data Analyst

Salt Lake City, UT · On-site

$69 - $105/hr

Data Analyst Part-Time - $50.00 - $76.00 Hourly Wage - Hybrid - 8/23/2026* - Recruiter - Breanna ... This is a temporary, time limited position, expected to conclude on June 30th 2027 * Conduct a ...

Experience in Integrated Data Retrieval System (IDRS), Accounts Management System (AMS ... temporary appointment from a competitive referral certificate, known as time after competitive ...

No Type Non Benefited Staff / Student Temporary? No Standard Hours per Week 15-19 Full Time or ... Analyze and monitor the effectiveness of marketing efforts, including email and text message ...

No Type Non Benefited Staff / Student Temporary? No Standard Hours per Week 15-19 Full Time or ... Analyze and monitor the effectiveness of marketing efforts, including email and text message ...

R&D Data Scientist

Salt Lake City, UT · On-site

$80 - $110/hr

Collect, preprocess, and analyze large and complex datasets to extract actionable insights ... S. national, person lawfully admitted for permanent residence, temporary resident under sections ...

About the Temporary Talent Recruiter: MarketStar is seeking a motivated, data-driven Talent ... Analyze recruiting data and metrics to identify trends, improve processes, and provide insights to ...

Business Analyst

Midvale, UT · On-site +1

$40 - $60/hr

T is actively seeking Business System Analyst for an immediate contract engagement with our client ... temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, Data, End-User ...

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Temporary Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do temporary data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for temporary 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 a temporary data analyst?

A Temporary Data Analyst is a professional hired for a limited period to help organizations collect, process, and interpret data. They often assist with short-term projects, data clean-up, or to fill in during staff absences. Their responsibilities include analyzing datasets, creating reports, and providing actionable insights to support business decisions. Temporary Data Analysts typically have strong analytical skills, proficiency in data tools, and the ability to quickly adapt to new environments.

What are temporary jobs for a data analyst?

As a temporary data analyst, you analyze information to help solve problems ranging from sales figures to social media interactions to brand awareness. In this temporary position, you work with one client or employer on one project at a time as part of a contract. You might work with businesses, tech companies, government organizations, health care facilities, or educational institutes. Your responsibilities are to gather data and statistics and create reports for distribution. You typically use Excel and various data sources to analyze and update information. Other duties include performing data entry and supporting members of the analyst team as needed.

What types of projects and tasks can a temporary data analyst expect to work on during a typical assignment?

As a Temporary Data Analyst, you'll often be brought in to support short-term projects such as cleaning and organizing large datasets, generating routine or ad-hoc reports, or assisting with data migration efforts. You may also be tasked with analyzing trends, creating data visualizations, or providing insights to help teams make data-driven decisions. The work environment is usually fast-paced, with tight deadlines and close collaboration with permanent analysts, project managers, or business stakeholders to quickly deliver actionable results.

What are the key skills and qualifications needed to thrive as a temporary data analyst, and why are they important?

To thrive as a Temporary Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a bachelor’s degree. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for translating complex data into actionable insights. These competencies enable quick adaptation, accurate analysis, and clear reporting, which are crucial for delivering results within limited project timelines.

What is the difference between Temporary Data Analyst vs Data Scientist?

AspectTemporary Data AnalystData Scientist
CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; advanced certifications
Work EnvironmentContract roles, short-term projects, business officesLong-term projects, research environments, tech companies
Employer & Industry UsageBusinesses seeking quick data insights, consulting firmsTech firms, research institutions, large enterprises
Search & Comparison IntentLooking for temporary data roles, entry-level opportunitiesSeeking advanced data roles, career growth

The main difference between a Temporary Data Analyst and a Data Scientist lies in their roles, experience, and project scope. Temporary Data Analysts typically handle short-term projects with basic data analysis skills, while Data Scientists work on complex models and long-term research. Both roles are essential in data-driven industries, but they differ in experience level and responsibilities.

Can I be a temporary data analyst in 3 months?

Becoming a temporary data analyst in three months is possible if you have prior experience or relevant skills in data analysis, such as proficiency in Excel, SQL, or data visualization tools. Typically, employers look for candidates with some technical knowledge and the ability to quickly learn new software, but completing a short-term training program or bootcamp can also help you qualify within that timeframe.

Can I be a temporary data analyst with no experience?

Temporary data analyst positions often require some familiarity with data analysis tools like Excel or SQL, but entry-level roles may be available for candidates with minimal experience if they demonstrate strong analytical skills and willingness to learn. Gaining relevant certifications or completing online courses can improve chances of securing such roles without prior experience.

Can you be a temporary data analyst as a side hustle?

Yes, a temporary data analyst can often work as a side hustle if their schedule allows and they have the necessary skills in data analysis tools like Excel, SQL, or Python. Freelance or part-time data analysis projects are common options for supplementing income outside of full-time roles.

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 are popular job titles related to Temporary Data Analyst jobs in Utah?

For Temporary Data Analyst jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Temporary Data Analyst jobs in Utah look for?

The top searched job categories for Temporary Data Analyst jobs in Utah are:

Infographic showing various Temporary Data Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Full-time

Posted 11 days ago


Job description

The Office of Homeless Services (OHS) is seeking a highly skilled Data Analyst to conduct a comprehensive assessment of the state's homelessness data collection, reporting, and performance measurement practices. This time limited position will evaluate the effectiveness of current data systems, identify opportunities to improve data quality and utilization, and develop a strategic framework for measuring the effectiveness of Utah's homeless services system.
The successful candidate will work closely with OHS staff, grantees, and external stakeholders to identify best practices for collecting, analyzing, and utilizing data to support strategic decision-making, continuous quality improvement, funding decisions, and accountability across the statewide homeless services system.

This is a temporary, time limited position, expected to conclude on June 30th 2027

The Data Strategy Analyst will:

  • Conduct a comprehensive review of Utah's current data collection practices, databases, reporting processes, performance measures, and data governance practices.
  • Assess how existing data is used to inform funding decisions, program oversight, contract management, policy development, and system performance.
  • Identify gaps in current data collection that limit the Office's ability to evaluate program effectiveness, client outcomes, and system performance.
  • Evaluate opportunities to streamline data collection while reducing unnecessary administrative burden on service providers.
  • Assess opportunities to integrate data across existing systems and identify future data integration needs.
  • Prepare written findings and present recommendations to state leadership.