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Part Time Analytics Jobs in Utah (NOW HIRING)

Ability to review, analyze and comprehend business trends * Ability to exhibit a positive demeanor ... Part-time associates, based on hours worked, may be eligible for Burlington's benefits package ...

Conduct job analyses and break down daily job tasks for success * Communicate regularly with ... PTO for all employees (including part-time) * Mileage reimbursement * Employee Assistance Program ...

Conduct job analyses and break down daily job tasks for success * Communicate regularly with ... PTO for all employees (including part-time) * Mileage reimbursement * Employee Assistance Program ...

Kyo is a leading provider of Applied Behavior Analysis (ABA) therapy, dedicated to empowering ... Part-Time & Full-Time Opportunities Available Pay Range: $85,000 - $100,000 BCBAs AT KYO: * Lead ...

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Showing results 1-20

Part Time Analytics information

See Utah salary details

$55.1K

$112.7K

$159.3K

How much do part time analytics jobs pay per year?

As of Jul 15, 2026, the average yearly pay for part time analytics in Utah is $112,748.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $139,700.00 per year, depending on experience, location, and employer.

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

AspectPart Time AnalyticsPart Time Data Analyst
Required CredentialsTypically a degree in analytics, statistics, or related fieldUsually a degree in data science, statistics, or similar
Work EnvironmentBusiness, consulting, or tech companiesCorporate, finance, or marketing sectors
Employer & Industry UsageUsed across industries for decision supportCommon in finance, healthcare, and marketing
Search & Comparison IntentUnderstanding roles and responsibilitiesClarifying job scope and skills needed

Part Time Analytics focuses on analyzing data to inform business decisions, often involving strategic insights. Part Time Data Analyst typically emphasizes data collection, cleaning, and reporting. While both roles require analytical skills and similar credentials, Part Time Analytics may involve higher-level interpretation, whereas Part Time Data Analyst is more data-focused. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

What are part-time analytics jobs?

Part-time analytics jobs involve analyzing data to help organizations make informed decisions, but on a reduced or flexible schedule instead of a traditional full-time position. These roles can include tasks such as data collection, statistical analysis, creating reports, and providing insights into business trends. Part-time analytics professionals may work in various industries, including finance, marketing, healthcare, or e-commerce. These jobs are ideal for individuals seeking work-life balance, students, or those looking to gain experience while managing other commitments.

How does a part-time analytics professional typically collaborate with full-time team members and stakeholders?

Part-time analytics professionals often work closely with full-time analysts, data engineers, and business stakeholders by attending key meetings, sharing progress updates, and contributing insights on specific projects. While their hours may be limited, clear communication and proactive scheduling help ensure that deliverables align with team timelines. Tools like shared dashboards, project management platforms, and regular check-ins are commonly used to maintain alignment and maximize impact. Adapting quickly to shifting priorities and being flexible with availability are important for successful collaboration in this role.

What are the key skills and qualifications needed to thrive as a Part Time Analytics professional, and why are they important?

To thrive as a Part Time Analytics professional, you need a solid understanding of data analysis, statistical methods, and proficiency in tools like Excel, supported by relevant coursework or a degree in a quantitative field. Familiarity with analytics platforms such as SQL, Tableau, or Python, and sometimes certifications like Google Data Analytics, are commonly required. Strong problem-solving abilities, attention to detail, and clear communication help you interpret data and present insights effectively. These skills ensure you can deliver actionable data-driven recommendations that support business decisions, even within limited working hours.
What are the most commonly searched types of Analytics jobs in Utah? The most popular types of Analytics jobs in Utah are:
Infographic showing various Part Time Analytics job openings in Utah as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 89% Full Time, 7% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $112,748 per year, or $54.2 per hour.
Operations Analyst - Outreach & Scheduling

Operations Analyst - Outreach & Scheduling

Clozd

Lehi, UT โ€ข On-site

Part-time

PTO

Re-posted 16 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.