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

Kyo

Board Certified Behavior Analyst (BCBA)

Provo, UT

$85K - $100K/yr

Part-Time & Full-Time Opportunities Available Pay Range: $85,000 - $100,000 BCBAs AT KYO: * Lead ... data systems. * Support the development of Behavior Therapists and BCBA Trainees. WHY CHOOSE US?

University of Utah

Research Specialists

Salt Lake City, UT · On-site

$14.38 - $27.87/hr

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary TBD ... Collect and analyze data, and test, validate, and document results. Summarize research findings to ...

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

Part Time Data Analyst information

See Sandy, UT salary details

$32.3K

$78.5K

$129.2K

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

As of Jul 16, 2026, the average yearly pay for part time data analyst in Sandy, UT is $78,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 per year, depending on experience, location, and employer.

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.

Is 40 too late for data science?

A part-time data analyst role typically requires skills in data manipulation, statistical analysis, and tools like Excel or SQL. Age is not a barrier; many professionals transition into data roles later in their careers by gaining relevant certifications or training. Success depends on skills, experience, and continuous learning rather than age alone.

Can you be a data analyst as a side hustle?

Yes, data analysts can pursue side projects or freelance work outside their main employment, often using skills in Excel, SQL, or data visualization tools. Managing time and maintaining confidentiality are important when working part-time or freelance as a data analyst.

Will AI replace data analysts?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and communication that AI cannot fully replicate, so AI is more likely to augment rather than replace the profession.

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.

Is a data analyst a part-time job?

A data analyst position can be offered as either full-time or part-time, depending on the employer and project needs. Part-time data analyst roles typically involve fewer hours per week and may require skills in data visualization, SQL, and Excel. Availability for part-time work varies by company and industry demand.

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 Sandy, UT? The most popular types of Data Analyst jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Part Time Data Analyst jobs? Cities near Sandy, 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 Sandy, UT as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $78,530 per year, or $37.8 per hour.
Operations Analyst - Outreach & Scheduling

Operations Analyst - Outreach & Scheduling

Clozd

Lehi, UT • On-site

Part-time

PTO

Re-posted 17 days ago

Job description

Clozd is the leader in Decision Intelligence, helping companies uncover the truth by capturing direct feedback throughout the customer journey.
We believe most revenue organizations are operating without the full picture. CRM and call data only tell part of the story. Clozd delivers the missing truth layer, giving executives the insights they need to improve win rates, retention, and growth.
We need team members who can tackle ambiguity, solve complex problems, and delight customers. We hire dynamic employees who take initiative, find ways to simplify and scale, possess strong interpersonal and communication skills, value humility and learning, crave a fast-paced startup environment, and never compromise their integrity.
This person will play a vital role in our outreach efforts and business development. We've historically had our part-time ops associates (and before that our publishing associates) dedicate a few hours each week to calling. However, the impact of calling for our priority clients is so huge we want to have a role dedicated to it. Having a dedicated caller will ensure consistent bandwidth for calling, and their specialization will yield greater efficiencies in their calling efforts.
This is a very fun and challenging opportunity for anyone who wants to bet on themselves to potentially make a lot of money and a lasting difference at Clozd.
What you will be doing:
  • Dedicate 20 hours of cold calling, texting, and LinkedIn messaging each week.
  • Coordinate with our operations analyst to receive contacts to call and reach out to.
  • Work closely with our operations analyst to communicate the results of outreach efforts for each client.
  • Help develop and advance our calling and texting processes.

Qualifications:
  • College Student (Junior to Senior year).
  • Driven and motivated, who takes initiative.
  • Experience with cold calling and enjoys it.
  • Head down mentality - Willing to hustle and work hard.
  • Important that this person works well with the team and represents Clozd and our clients in a professional manner.

Benefits:
  • Competitive compensation (Hourly wage plus commission).
  • Unlimited PTO with a boss that encourages taking time off and using PTO to recharge.
  • Weekly catered lunches, stocked kitchens, quarterly company/department activities.

Clozd is an Equal Opportunity Employer. Clozd does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
Clozd participates in E-Verify.
All Clozd employees are required to successfully pass a background check upon being hired.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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