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Entry Level Operations Analyst Jobs in Utah (NOW HIRING)

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Recent graduate (or soon to be) in Computer Science, Information Systems, Business Analytics ...

... Operational and annual deadlines for the firm. - Attention to detail and quality of work. - Ability to consistently exercise sound and decisive judgment. - Commitment to personal development.

New

Description CenCore is seeking an entry-level Finance / FP&A Associate to support budgeting ... Compile, validate, and reconcile financial and operational data from multiple systems. * Assist ...

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Entry Level Operations Analyst information

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$13

$30

$51

How much do entry level operations analyst jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for entry level operations analyst in Utah is $30.73, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $36.78 per hour, depending on experience, location, and employer.

What is an entry level operations analyst?

An Entry Level Operations Analyst is a professional who assists in analyzing and improving an organization’s operational processes. They typically gather and interpret data, identify areas for efficiency, and help implement solutions to optimize business operations. This role often serves as a starting point for those interested in operations, business analytics, or process improvement, and it usually requires strong analytical skills, attention to detail, and proficiency with data analysis tools.

What are the key skills and qualifications needed to thrive as an entry level operations analyst, and why are they important?

To thrive as an Entry Level Operations Analyst, you need strong analytical abilities, attention to detail, and a relevant degree such as business, finance, or economics. Familiarity with data analysis tools like Excel, SQL, and basic knowledge of enterprise resource planning (ERP) systems is typically expected. Excellent problem-solving skills, adaptability, and effective communication are crucial soft skills in this role. These abilities enable analysts to accurately interpret data, support efficient operations, and collaborate across teams for organizational success.

What are some common challenges faced by entry level operations analysts, and how can they be addressed?

Entry level operations analysts often encounter challenges such as learning to navigate complex data systems, adapting to fast-paced environments, and effectively prioritizing multiple tasks or projects. It's important to proactively seek guidance from experienced team members, make use of available training resources, and practice clear communication to clarify expectations and project requirements. Building strong analytical and time-management skills early on can significantly ease the transition and set the foundation for future advancement within the operations department.

What is the difference between Entry Level Operations Analyst vs Operations Coordinator?

AspectEntry Level Operations AnalystOperations Coordinator
Required CredentialsBachelor's degree in Business, Finance, or related field; basic analytical skillsBachelor's degree; organizational and communication skills
Work EnvironmentOffice setting, data analysis, reportingOffice setting, coordinating daily operations
Employer & Industry UsageFinancial services, manufacturing, logisticsRetail, healthcare, logistics
Common Search & ComparisonFocuses on data analysis and process improvementFocuses on coordinating and managing operational tasks

While both roles support operational functions, Entry Level Operations Analysts primarily analyze data to improve processes, whereas Operations Coordinators focus on managing daily operational activities. The roles often overlap in industries like logistics and retail, but their core responsibilities differ in scope and focus.

How to become an entry level operations analyst with no experience?

To become an entry-level operations analyst with no experience, focus on developing strong analytical, problem-solving, and communication skills through online courses or certifications in data analysis, Excel, or business operations. Gaining familiarity with tools like SQL or Tableau can also improve your prospects, and internships or volunteer opportunities can provide practical experience to strengthen your resume.

What are the most commonly searched types of Operations Analyst jobs in Utah?

The most popular types of Operations Analyst jobs in Utah are:

What are popular job titles related to Entry Level Operations Analyst jobs in Utah?

For Entry Level Operations Analyst jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Entry Level Operations Analyst jobs in Utah look for?

The top searched job categories for Entry Level Operations Analyst jobs in Utah are:

What cities in Utah are hiring for Entry Level Operations Analyst jobs?

Cities in Utah with the most Entry Level Operations Analyst job openings:

Infographic showing various Entry Level Operations Analyst job openings in Utah as of August 2026, with employment types broken down into 79% Full Time, 16% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $63,917 per year, or $30.7 per hour.

Associate AI Operations

Atonom

Provo, UT • On-site

Full-time

Medical, PTO

Re-posted 7 days ago


Job description

Associate AI Operations

Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 – $90,000 | Entry-Level / 0–2 Years

ABOUT ATONOM

Atonom.ai builds Cloud Employees: intelligent AI agents that execute complex work across Sales, Marketing, Support, and HR. We believe growth should be limited by ambition, not headcount. We move beyond simple automation to genuine autonomy, empowering businesses to scale instantly. Join us as we build the infrastructure for the next generation of work.

THE ROLE

As a Associate AI Operations, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly, work directly with clients, and see the impact of your work from day one. You don't need years of experience. You need curiosity, technical aptitude, and the drive to figure things out.

WHAT YOU'LL DO

  • Help monitor, maintain, and optimize deployed AI Cloud Employees across the customer base.
  • Join client calls to understand operational needs and translate them into AI workflow configurations, including prompt tuning, automation logic, and QA checks.
  • Troubleshoot operational issues with guidance from senior team members. Dig into logs, spot failure patterns, and help resolve problems quickly.
  • Document operational procedures, build runbooks, and contribute to internal knowledge bases.
  • Share product feedback with Engineering and Product teams, including reliability trends, performance gaps, and customer pain points.

WHO YOU ARE

  • Recent graduate (or soon to be) in Computer Science, Information Systems, Business Analytics, Operations Research, or a related field. Self-taught candidates with relevant experience are also welcome.
  • Operationally minded. You like understanding how systems work end-to-end and figuring out how to make them run more smoothly.
  • Interested in LLMs and prompt engineering. You've gone beyond basic usage and started exploring how AI performs in real-world workflows.
  • A strong communicator who can translate operational findings and technical details into language that non-technical audiences understand.
  • Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous situations.

YOUR FIRST 90 DAYS

  • Month 1: Learn the Atonom platform inside and out. Shadow senior team members on client calls and implementations. Get certified on internal tooling.
  • Month 2: Take ownership of your first customer implementations with senior support. Begin contributing to internal documentation and playbooks.
  • Month 3: Run implementations with increasing independence. Present learnings and customer pain points to the Product team.

TECHNICAL SKILLS (NICE TO HAVE)

  • Exposure to workflow automation tools (Zapier, Make, or similar).
  • Basic understanding of APIs, webhooks, or data integrations.
  • Familiarity with SQL, Python, or JavaScript.
  • Experience with CRMs like Salesforce or HubSpot.
  • Any hands-on project involving LLMs or prompt engineering (personal, academic, or professional).

WHY JOIN

  • Real AI work. Not research papers. Production agents that generate measurable ROI for real businesses.
  • Mentorship built in. Learn from experienced specialists who invest in your growth.
  • Career velocity. High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.
  • Impact from day one. Small team, fast shipping, your contributions matter immediately.

BENEFITS

  • PTO accrual starts on day one.
  • Competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary.