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

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Part Time Data Analyst information

See Draper, UT salary details

$31.8K

$77.3K

$127.1K

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

As of Jun 16, 2026, the average yearly pay for part time data analyst in Draper, UT is $77,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $90,700.00 per year, depending on experience, location, and employer.

How much do part-time data analysts make?

Part-time data analysts typically earn between $15 and $35 per hour, depending on experience, location, and industry. Salaries can vary based on skills in tools like Excel, SQL, or Python, and whether the role requires specialized knowledge or certifications.

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.

Can I do data analyst part time?

Yes, data analyst roles can often be performed part time, especially in freelance or contract positions. Many employers offer flexible schedules, and part-time data analysts typically need skills in Excel, SQL, and data visualization tools like Tableau or Power BI.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and providing context. The role of a data analyst evolves with technology, emphasizing skills in data storytelling, domain knowledge, and tool proficiency like SQL and visualization software. AI complements rather than replaces the human element in data analysis jobs.

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.

Can ISFJ be a data analyst?

ISFJ is a personality type from the Myers-Briggs Type Indicator and does not determine whether someone can be a data analyst. Success in a data analyst role depends on skills such as data interpretation, proficiency with tools like Excel or SQL, and analytical thinking, which can be developed regardless of personality type.

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.
More about Part Time Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Draper, UT? The most popular types of Data Analyst jobs in Draper, UT are:
What cities near Draper, UT are hiring for Part Time Data Analyst jobs? Cities near Draper, 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 Draper, UT as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $77,256 per year, or $37.1 per hour.

Data Analyst II

Lumbee Holdings, Inc

Salt Lake City, UT • On-site

Full-time, Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Position Title

Data Analyst II

Position Classification

Exempt

Position Type

This position may be full-time or part-time and is scheduled to work standard business hours from 8:00 a.m. to 5:00 p.m. Overtime is not expected for this role.

Work Location

Salt Lake City, UT

Position Description

The Data Analyst will provide analysis for the US Army Reserve Medical Command. They will analyze maintenance data information in the Global Combat Support System (GCSS-Army) and analyze data processing requirements to plan data processing system that will provide system capabilities required for projected workloads, and plans layout and installation of new system or modification of existing system by performing the following duties.

Essential Position Functions

Provide data validation services to improve the data integrity of MD/MDS to support accountability and maintenance within GCSS-A for all MD/MDS assigned to units within USARC

Provide guidance to unit personnel for accurate data input into GCSS-A for MD/MDS based on current Master Maintenance Data File (MMDF)

Assist USARC units by pulling the GCSS-A MAT-SIT, researching the Medical Sets until MATCAT data and other USARC provided lists.

Provide guidance on how to correct the Property Book in GCSS-A, including scrubbing existing GCSS-A data, validating the GCSS-A property book number against the United States Army Medical Material Development (USAMMDA) website.

Assist unit personnel in identifying MD/MDS and provide guidance for accurate data information

Validate existing work orders in GCSS-A

Assist unit personnel with training on how to identify or add the support shop and verify the correct work center for work orders

Assist in the set-up or next level of maintenance support information within GCSS-A as well as assist in developing points of contact (POC) for units to reach out to for assistance, such as Multi-Functional Medical Battalions (MMB), Brigades, Regional Training Site (RTS)-Medical Sites, USAMMA Depots and agencies, and the 6th Medical Logistics Management Center (MLMC).

Validate unit’s data process for medical (Class VIII) repair parts transactions

Understand and learn any new procedural changes for ordering medical repair parts within GCSS-A

Assist with overseeing the inputting of all operator level data validation processes

Validate man-hour accountability reporting processes

Enters data into computer terminal to store, retrieve, and manipulate data for analysis of system capabilities and requirements

Trains users to use new or modified equipment.

Education/Experience

Three years’ experience working in an Army Medical Maintenance work environment

Three years’ experience processing MD/MDS data using Army systems

Two years’ experience in GCSS-A at the operator level

Familiarity with USAR processes and procedures.

Bachelor’s degree preferred but additional experience may be accepted in lieu of a degree. One (1) year of recent GCSS-Army operator level experience with USAR STAMIS business processes.

Must have good oral and written communication skills and be familiar with word processing, spreadsheets and able to provide written After-Action Reports. Previous Military experience desired.

Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community.

Basic math skills in addition, subtraction, division and multiplication.

Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.

To perform this job successfully, an individual must have some knowledge with the following concepts and tools: Basic computer skills, Automated Logistics/Data Analyst_2017_Version 2

Physical Requirements for the Role

This position is primarily sedentary and requires the ability to work at a computer for extended periods, including viewing monitors, using keyboards, and operating standard office equipment. The role may require occasional standing, walking, and minimal lifting (up to 10 pounds).

Reports To

LFS assigned Program Manager

Supervisory Responsibilities

None

Work Environment

The work environment for this position is primarily a professional office or remote setting with standard business conditions. The role involves regular use of computers and related technology in a low-noise environment and frequent collaboration with technical and non-technical team members. Work is generally performed during normal business hours with minimal physical risk, and the environment supports adherence to established cybersecurity, safety, and organizational policies.

Security Clearance Requirements

Secret Security Clearance

Travel Requirements

Travel is estimated to be 50% within the Continental United States.

Compensation

Commensurate with experience and qualifications.

Lumbee Holdings is an Equal Opportunity Employer. We do not discriminate in employment based on race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law.

Note: This summary is not intended to be a complete description of all benefits. Employees will receive detailed information about benefit plan terms, conditions, and eligibility during onboarding. These statements are intended to describe the general nature and level of work involved for this job. It is not an exhaustive list of all responsibilities, duties, and skills required of this job.