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Part Time Data Analyst information

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$31K

$75.2K

$123.8K

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

As of May 28, 2026, the average yearly pay for part time 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 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 are part time data analysts?

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 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.

More about Part Time Data Analyst jobs
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 Part Time Data Analyst jobs in Utah? For Part Time Data Analyst jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Part Time Data Analyst jobs in Utah look for? The top searched job categories for Part Time Data Analyst jobs in Utah are:
What cities in Utah are hiring for Part Time Data Analyst jobs? Cities in Utah 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 Utah as of May 2026, with employment types broken down into 20% As Needed, 60% Full Time, and 20% Part Time. Highlights an 91% Physical, and 9% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)

Campbell's

Richmond, UT

$18.95/hr

Part-time

Medical, Dental, Retirement

Posted 10 days ago

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Job Title: Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)
Location: Richmond Ut.
Job Type: Part-Time
Department: Operations / Continuous Improvement / IT
Reports To: Manager of Continuous Improvement


Position Summary
We are seeking a Part-Time Data Analyst Technician with a strong computer science and data analytics background. This role will focus on transforming manufacturing and operational data into actionable insights through Power BI dashboards, Python automation, SQL data management, and DAX-based analytics.

The ideal candidate is highly analytical, comfortable working with manufacturing data, and capable of building automated data pipelines and visualizations that support real-time operational decision-making, productivity tracking, and continuous improvement initiatives.

Key Responsibilities -
Data Analytics & Visualization:
Develop and maintain Power BI dashboards and reports to monitor manufacturing performance, productivity, downtime, and quality metrics.
Write and optimize DAX measures and calculated columns to support advanced operational analytics.
Transform raw manufacturing data into meaningful visualizations for leadership and production teams.
Build automated reporting solutions to support daily production reviews and Redzone performance tracking.

Data Engineering & Programming:
Write Python scripts to automate data extraction, transformation, and reporting processes.
Design and maintain SQL queries, stored procedures, and database structures for operational data.
Integrate data from Redzone MES, ERP systems, spreadsheets, and other manufacturing data sources.

Manufacturing Systems Implementation :
Support implementation and rollout of the Redzone Manufacturing Execution System (MES).
Assist with data integration, data validation, and dashboard creation tied to Redzone data streams.
Help design KPI structures aligned with Lean Manufacturing and Continuous Improvement principles.
Support real-time data visibility initiatives on the production floor.

Data Quality & Optimization:
Ensure accuracy and consistency of manufacturing data used for reporting.
Develop tools to validate, clean, and standardize data sources.
Identify opportunities for automation and process improvement through data analytics.

Required Qualifications:
Current coursework in Computer Science, Data Analytics, Information Systems, or related field (or equivalent experience).

Strong experience with Power BI including:
Data modeling
Dashboard creation
Power Query

Strong DAX coding skills.
Proficiency in Python programming for data analysis and automation.
Experience writing complex SQL queries and working with relational databases.
Strong analytical and problem-solving skills.
Ability to translate data into clear operational insights.

Preferred Qualifications

Experience working with Manufacturing Execution Systems (MES) or production data.
Familiarity with Redzone productivity systems.
Experience with Lean Manufacturing, Six Sigma, or Continuous Improvement programs.
Experience integrating ERP or operational databases with reporting tools.
Knowledge of data pipeline design and automation workflows.

Key Skills:
Power BI Dashboard Development
DAX Analytics
Python Data Automation
SQL Data Management
Manufacturing Data Analysis
Data Visualization & Reporting
Continuous Improvement Analytics

Work Schedule:
Part-Time (10-25 hours per week)
Flexible scheduling available depending on project needs.

Impact of the Role :
This role will directly support data-driven manufacturing operations, helping leadership and production teams gain real-time insights into performance, downtime, efficiency, and continuous improvement opportunities through the Redzone system.

Pay:
$18.95/hour

Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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