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Part Time Data Analyst Jobs in Tooele, UT (NOW HIRING)

University of Utah

Data Entry Clerks

Salt Lake City, UT · On-site

$15/hr

This part-time position offers an opportunity to work closely with our marketing team and gain ... Analyze and monitor the effectiveness of marketing efforts, including email and text message ...

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All JobsData Analyst JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Tooele, UT

Part Time Data Analyst information

See Tooele, UT salary details

$31.9K

$77.6K

$127.7K

How much do part time data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for part time data analyst in Tooele, UT is $77,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,100.00 per year, depending on experience, location, and employer.

What is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

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

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.
More about Part Time Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Tooele, UT?

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

What cities near Tooele, UT are hiring for Part Time Data Analyst jobs?

Cities near Tooele, UT with the most Part Time Data Analyst job openings:

Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Tooele, UT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,587 per year, or $37.3 per hour.

Data Analyst

Utah Division of Human Resource Management

Salt Lake City, UT • On-site

$33.96 - $54.07/hr

Full-time, Part-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Analyst
This Data Analyst role transforms multi-source transportation and operational data into actionable data-driven intelligence within a cloud environment. Key responsibilities include developing interactive dashboards, performing data analysis, and designing automated workflows. The ideal candidate will champion data literacy and leverage strong technical and communication skills to provide strategic, data-driven insights for stakeholders.
About the Role
Here is some important information about this position:
Salary Range: $33.96 - $54.07
FT/PT Status: Full Time
Background Check: You must successfully pass a criminal history check.
Schedule Code: B - Competitive Career Service (12 month probationary period)
Location: Calvin Rampton Building - 4501 South 2700 West, Taylorsville, Utah
Recruiter: Porter Cook I pccook@utah.gov I801-965-4164
Application Deadline: 8/28/2026
*This job posting may close at any time after the minimum advertising period of three (3) business days has passed, should a sufficient applicant pool be received. Applicants are encouraged to apply as early as possible.
Principle Duties
  • Data Extraction & Pipeline Integration: Collaborate with engineering teams to build, clean, and normalize large relational, spatial, and temporal datasets. Write and maintain structured SQL scripts and automated data workflows to ensure seamless data ingestion.
  • Business Intelligence & Visualization: Conceptualize, develop, and deploy high-impact dashboards, decision-support tools, and automated reports. Create intuitive visual analytics that allow operational staff and executive leadership to safely monitor performance indicators.
  • Collaboration & Communication: Act as a primary technical translator between central IT infrastructure teams and business-unit subject matter experts. Present data-driven findings, assumptions, and limitations clearly to non-technical leadership and business owners.
  • Statistical Analysis & Problem Framing: Partner with operational divisions to translate complex operational challenges into concrete analytical projects. Use statistical validation methods to identify underlying trends, quantify uncertainties, and evaluate project outcomes.
  • Data Governance & Compliance: Adhere strictly to the enterprise data governance framework, metadata management standards, and data quality procedures. Maintain data dictionaries, map data lineage, and ensure strict compliance with state and federal privacy standards regarding Personally Identifiable Information (PII).
  • Prototyping & Innovation: Participate in building "proof-of-concept" analytical models to test the viability of emerging data streams before full-scale deployment.

Requirements & Key Skills
Education:
  • A Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Information Systems, Business Administration, or three (3)+ years of demonstrated relevant experience.

Technical:
  • Intermediate-to-Expert level demonstrated proficiency with SQL
  • Intermediate-to-Expert level demonstrated proficiency with statistical programming languages such Python
  • Proficiency using enterprise Business Intelligence platforms (such as Google Looker, Power BI, or Tableau)

Communication:
  • Exceptional verbal and written communication skills with a proven capability to write clean technical documentation and deliver engaging data stories.

Preferences
  • Conceptual and practical knowledge of descriptive statistics (experience with inference preferred)
  • Understanding of at least one BI platform and one enterprise cloud environment (one year preferred)
  • Recent technical project experience (two years and/or 3+ recent technical projects preferred)
  • Interpret technical language for nontechnical audiences (one year preferred)
  • Observe and diagnose data quality issues including inconsistencies, missing values, or structural problems across multiple sources (three years preferred)
  • SQL (two years preferred)
  • Institutional knowledge of transportation, government, or other public-sector background.
  • Translating business needs into logical problem statements (one year preferred, explain your role)
  • Yearning for professional growth and a strong commitment to supporting the Data team in advancing UDOT's mission.

Apply