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Hourly Data Analyst Jobs in Utah (NOW HIRING)

Data Analyst - Data Integration & Enablement Location: Salt Lake City, UT Job Type: Contract Experience: 2+ years Education: Bachelor's degree preferred Job Summary Our client is seeking a Data ...

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision Marketing activation practice. This practice integrates CRM platform expertise, journey management ...

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of theOmnicomPrecision Marketing activation practice.This practice integrates CRM platform expertise, journey management ...

Data Analyst Location : Salt Lake City/UT Duration : 12 Months Contract : Requirements : * Degree - Candidate must possess a bachelor's degree from an accredited college in Computer Science ...

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 ...

Assists in the analysis of underlying issues arising from investigations into requirements. Assists the project team in the completion of project-related documentation. Recommended Experience ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect Lightspeed's DMS platform with OEMs, aftermarket manufacturers, and internal teams. This individual will ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect Lightspeed's DMS platform with OEMs, aftermarket manufacturers, and internal teams. This individual will ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect Lightspeed's DMS platform with OEMs, aftermarket manufacturers, and internal teams. This individual will ...

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Position Summary We are seeking a detail-oriented and technically skilled Production Engineer / Technician to support oil and gas production operations through data analysis, reporting, system ...

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 ...

This is a senior individual-contributor / player-coach role with four direct reports: a Data Quality Analyst (filled), a Data Analyst for Operations, a Data Analyst for Finance, and a Data Analyst ...

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Hourly Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do hourly data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for hourly 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 an hourly data analyst?

An Hourly Data Analyst is a professional who is hired on an hourly basis to collect, process, and interpret data to help organizations make informed decisions. Their tasks often include cleaning data, running analyses, creating reports, and visualizing results using tools like Excel, SQL, or specialized analytics software. Hourly Data Analysts may work on short-term projects or provide ongoing support, depending on the employer's needs. This flexible arrangement can be ideal for companies with fluctuating workloads or specific analytical projects.

What are some common challenges hourly data analysts face when managing multiple data projects simultaneously?

Hourly Data Analysts often juggle several projects at once, which can make prioritizing tasks and meeting tight deadlines challenging. Effective time management and clear communication with project stakeholders are key to staying organized and ensuring data quality. Additionally, since analysts may work across departments, adapting to different data systems and reporting requirements is common. Building strong collaboration skills and proactively seeking clarification on project goals can help navigate these challenges successfully.

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

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant educational background such as a degree in statistics, mathematics, or a related field. Familiarity with data analytics tools like Excel, SQL, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving skills, and effective communication help you present insights clearly and work collaboratively with teams. These skills are crucial for transforming raw data into actionable information that supports informed decision-making.

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 Hourly Data Analyst jobs in Utah?

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

What cities in Utah are hiring for Hourly Data Analyst jobs?

Cities in Utah with the most Hourly Data Analyst job openings:

Infographic showing various Hourly Data Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Data Analyst

Midvale, UT

$45 - $60/hr

Full-time

Posted 5 days ago


Job description

Data Analyst – Data Integration & Enablement

Location: Salt Lake City, UT

Job Type: Contract

Experience: 2+ years

Education: Bachelor’s degree preferred

Job Summary

Our client is seeking a Data Analyst to support data integration and enablement initiatives. This role will help build and maintain the data foundation supporting regulatory and financial reporting, analytics, and other business initiatives.

The Data Analyst will work with both business and technology teams to gather requirements, profile source systems, design data flows, document metadata and transformation logic, develop test cases, and validate data quality.

The role will work with data across modern platforms including Enterprise Data Warehouse, Data Lake, Data Mesh, and Operational Data Store (ODS) environments.

Responsibilities

  • Gather and translate business requirements into data solutions.
  • Partner with business and technology stakeholders to understand data requirements.
  • Profile source systems and understand underlying data models.
  • Design efficient data integrations and data flows.
  • Document metadata, transformation rules, and data lineage.
  • Develop and execute test cases to validate data quality and integrity.
  • Build and maintain automated processes for data validation and reporting.
  • Validate data accuracy, completeness, and usability.
  • Collaborate with end users to ensure delivered data meets business requirements.
  • Support data integration and enablement initiatives across the organization.

Required Qualifications

  • 2+ years of experience in data analysis, data integration, or a related field.
  • Strong SQL skills, including data profiling, transformation, testing, and validation.
  • Experience with Python.
  • Experience gathering requirements and working directly with business stakeholders.
  • Strong analytical and problem-solving skills.
  • Strong written and verbal communication skills.
  • Experience documenting technical processes, data requirements, and transformation logic.
  • Bachelor’s degree in data, analytics, business, computer science, or a related field.
  • Demonstrated experience providing project leadership or mentoring others.

Preferred Qualifications

  • Experience with modern data stack technologies such as dbt, Databricks, and GCP.
  • Familiarity with Enterprise Data Warehouse, Data Lake, Data Mesh, or ODS environments.
  • Understanding of data governance, metadata, data lineage, and data quality practices.
  • Familiarity with AI concepts and prompt engineering.

Technical Skills

  • Advanced SQL
  • Python
  • dbt
  • Databricks
  • Google Cloud Platform (GCP)
  • Data profiling and validation
  • Data transformation
  • Data quality testing
  • Data integration
  • Data lineage and metadata

Education and experience may be considered in combination to meet the requirements of the position.