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Data Entry Jobs in Utah (NOW HIRING)

Wize Solutions

Associate Data Analyst

Sandy, UT · On-site

$20 - $25/hr

Build and test AI-assisted tools and automations designed to eliminate repetitive manual reporting and data entry work. * Use OKRs and other measurable outcomes to evaluate whether the reporting and ...

Wize Solutions

Associate Data Analyst

Sandy, UT · On-site

$20 - $25/hr

Build and test AI-assisted tools and automations designed to eliminate repetitive manual reporting and data entry work. * Use OKRs and other measurable outcomes to evaluate whether the reporting and ...

Wize Solutions LLC

Associate Data Analyst

Sandy, UT · On-site

$20 - $25/hr

Build and test AI-assisted tools and automations designed to eliminate repetitive manual reporting and data entry work. * Use OKRs and other measurable outcomes to evaluate whether the reporting and ...

Robert Half

Accounting Clerk

Salt Lake City, UT · On-site

$43K - $52K/yr

The ideal candidate is comfortable managing high-volume data entry, coordinating with internal teams, and maintaining precision in a fast-paced office environment. Responsibilities: * Review vendor ...

Obvio Inc

Video Data Annotator

Salt Lake City, UT · On-site

$22 - $24/hr

This role is not a typical data entry position. We are looking for candidates who can critically analyze video footage, accurately identify traffic incidents, and provide actionable data. Your ...

Charlie Health

Office Coordinator

Millcreek, UT

$18 - $22/hr

Data Entry and Management: * Enter and update patient information in databases and electronic health records systems as needed. Monitor data integrity and accuracy, identifying and resolving ...

XBP ASIA

Document Processor

Salt Lake City, UT · On-site

$23/hr

Proven experience in document processing, data entry, or a related field is advantageous. * Strong attention to detail and accuracy in handling documents and entering data. * Proficiency in computer ...

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All JobsData Entry JobsData Entry Jobs in Utah

Data Entry information

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How much do data entry jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data entry in Utah is $17.73, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.90 per hour, depending on experience, location, and employer.

What is a data entry job?

Data entry jobs involve inputting, updating, and managing data in computer systems or databases. Professionals in this role are responsible for entering information accurately from various sources, such as paper documents, forms, or audio recordings, into digital formats. Data entry jobs require attention to detail, fast typing skills, and the ability to follow instructions closely. These positions are common in industries like healthcare, finance, and administration, and can be performed in-office or remotely.

What are some common challenges faced by data entry professionals and how can they be managed?

Data entry professionals often encounter challenges such as repetitive tasks, maintaining accuracy under tight deadlines, and managing large volumes of information. To address these, it is important to develop strong attention to detail, utilize keyboard shortcuts for efficiency, and take regular breaks to prevent fatigue. Many organizations also provide training on data management systems and encourage collaboration with team members for quality assurance, helping data entry specialists maintain high standards and productivity.

What are the key skills and qualifications needed to thrive as a data entry professional, and why are they important?

To thrive as a Data Entry professional, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database systems, and data management tools is typically required. Organizational skills, reliability, and the ability to manage repetitive tasks with minimal errors are standout soft skills in this role. These competencies are crucial for maintaining data integrity, supporting efficient business operations, and preventing costly mistakes.

What is the difference between Data Entry vs Data Coordinator?

AspectData EntryData Coordinator
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma; additional experience in data management
Work EnvironmentOffice settings, remote workOffice or remote, often with team collaboration
Industry UsageCommon in various industries for basic data inputUsed in organizations managing complex data projects
Job FocusInputting and updating dataOrganizing, verifying, and managing data accuracy

While both roles involve working with data, Data Entry primarily focuses on inputting and updating information, whereas Data Coordinator handles organizing, verifying, and managing data accuracy and integrity. The roles differ in complexity and scope but often overlap in data handling tasks.

Is data entry a difficult or easy job?

Data entry is generally considered an entry-level job that requires attention to detail, basic computer skills, and familiarity with data management tools like spreadsheets or databases. The difficulty level depends on the volume of work and accuracy requirements, but it is often viewed as an accessible job for beginners. Speed and precision are important for success in this role.

Is data entry hard or easy?

Data entry is generally considered an entry-level job that involves inputting information into computer systems, often requiring attention to detail and basic computer skills. The difficulty level depends on the complexity of the data and the speed required, but it is typically viewed as an accessible job for most people with minimal training. Proficiency with tools like spreadsheets and data management software can improve efficiency.

What do you actually do in a data entry job?

A data entry job involves inputting, updating, and maintaining information in digital databases or spreadsheets. It requires attention to detail, accuracy, and proficiency with tools like Microsoft Excel or database software, often following specific guidelines or procedures. The role may also include verifying data and ensuring its integrity.

Which data entry jobs are legit?

Legit data entry jobs are typically offered by reputable companies and involve tasks like inputting information into databases or spreadsheets. Genuine positions usually do not require upfront fees and may require basic skills in typing, attention to detail, and familiarity with tools like Excel or Google Sheets.
More about Data Entry jobs

What are the most commonly searched types of Data Entry jobs in Utah?

The most popular types of Data Entry jobs in Utah are:

What are popular job titles related to Data Entry jobs in Utah?

For Data Entry jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Data Entry jobs in Utah look for?

The top searched job categories for Data Entry jobs in Utah are:

What cities in Utah are hiring for Data Entry jobs?

Cities in Utah with the most Data Entry job openings:

Data Entry jobs near you
Infographic showing various Data Entry job openings in Utah as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $36,874 per year, or $17.7 per hour.

Associate Data Analyst

Sandy, UT • On-site

Wize Solutions
See more jobs at Wize Solutionsexternal

$20 - $25/hr

Full-time

Posted 7 days ago

Job description

Job Type
Full-time
Description
The Opportunity:
At Wize Solutions, we don't just do the job-we set the standard. Headquartered in Salt Lake City, UT, we operate in all 50 states and internationally, delivering top-tier solutions with a relentless commitment to excellence. Our growth speaks for itself: in 2024 alone, we expanded from 120 to nearly 500 employees, and we're just getting started.
What fuels our success? Our people. We believe that when our employees thrive, our company thrives. That's why we invest in a culture that feels like family-where every team member is valued, supported, and given opportunities to grow. Through both tangible benefits and the intangibles that make a workplace truly great, we ensure that working at Wize Solutions isn't just a job-it's a career worth building. If you're looking for a place where you can make an impact and grow alongside a rapidly scaling company, we'd love to have you on board.
As a Data Analyst, you'll have the opportunity to put emerging technology to work on real business problems. You'll work directly with our Chief Technology Officer to research, prototype, build, and test AI-powered tools, data solutions, and reporting that improve how our Operations, Sales, and Leadership teams work.
Wize Solutions installs warehouse racking, warehouse automation, and dock and door systems. As we replace a patchwork of spreadsheets and disconnected software with a modern technology platform built around Acumatica, you'll have the opportunity to work on projects that bring our data together, eliminate repetitive manual reporting, and turn raw data into information the business can act on.
This is primarily a data, analytics, and R&D role-not a traditional IT help desk position. You'll have meaningful ownership over projects and the freedom to propose ideas while working closely with the CTO to determine priorities, scope, and technical approach. The reports and tools you build may be used by real Wize employees and have a measurable impact on how we operate.
Who You Are:
  • You are curious, self-motivated, and excited by the opportunity to learn how new technology can solve real-world business problems.
  • You are a problem solver who enjoys building things and wants direct involvement in AI, automation, and analytics for teams across Wize Solutions.
  • You like working with data and get satisfaction out of turning messy, scattered information into something clear and useful.
  • You have a strong technical foundation and are comfortable learning new tools, query languages, programming languages, and data platforms as needed.
  • You are comfortable finding solutions to technical and business challenges and can communicate your findings clearly and concisely, both in writing and verbally.
  • You are detail oriented and understand that small details can have significant impacts on data quality, reporting accuracy, security, and business decisions.
  • You are willing to ask questions early, seek feedback, and work collaboratively with the CTO and other Wize team members.
  • You are genuinely curious about AI. You already experiment with AI tools, coding assistants, or LLMs and have thoughtful opinions about where AI can and cannot add value.
  • You understand the importance of protecting confidential company information and using AI and technology responsibly.

Requirements
What You'll Own:
  • Research emerging AI tools, technologies, and analytical approaches and prototype them against real problems in Operations, Sales, and Leadership.
  • Connect and consolidate data from Acumatica and other business systems into reporting-ready datasets using SQL, APIs, scheduled extracts, and other data movement methods.
  • Build and maintain dashboards, recurring reports, and self-service views that give Operations, Sales, and Leadership visibility into project, schedule, material, and financial performance.
  • Document metric and data definitions so that reported numbers are consistent, repeatable, and reconcilable to the source system.
  • Investigate data quality issues-duplicates, gaps, mismatched identifiers, and manual workarounds-and recommend practical fixes.
  • Build and test AI-assisted tools and automations designed to eliminate repetitive manual reporting and data entry work.
  • Use OKRs and other measurable outcomes to evaluate whether the reporting and tools you build are creating business impacts.
  • Develop scripts, queries, and lightweight applications that improve internal processes and reduce reliance on manual spreadsheets and disconnected systems.
  • Work with LLM APIs and emerging technologies such as Model Context Protocol (MCP) to explore new ways of connecting AI to business processes and data.
  • Work directly with the CTO on special R&D projects, presenting findings and recommendations on what works, what doesn't, and what Wize should consider adopting.
  • Help troubleshoot and test reports, datasets, and automations to confirm they are accurate, reliable, and working as intended.
  • Occasionally assist with basic technical support, including laptop setup, software configuration, and general end-user troubleshooting.
  • Create concise, practical documentation for the datasets, reports, and processes you build.
  • Propose new ideas for using data and technology to improve how Wize Solutions operates and take ownership of turning promising ideas into proof-of-concepts.

Experience You'll Need:
  • Currently pursuing a degree in Data Analytics, Information Systems, Computer Science, Statistics, Business Analytics, Finance, or a related field, or equivalent demonstrated experience through personal projects, self-directed learning, previous internships, or other experience.
  • Working knowledge of SQL, or clearly demonstrated ability to learn it quickly.
  • Demonstrated ability to write and debug code or scripts in at least one language, such as Python, with the ability and willingness to learn additional languages and tools.
  • Strong spreadsheet skills, including formulas, pivot tables, and cleaning and structuring imperfect data.
  • Basic understanding of how business systems store data and how data moves between systems.
  • Experience with Git or another version control system, or a demonstrated willingness to learn.
  • Strong problem-solving and analytical skills with the ability to break complex problems into manageable steps.
  • Strong written and verbal communication skills, including the ability to explain what the data does and does not tell us.
  • Ability to work independently while knowing when to ask questions or seek guidance.

Nice to Have:
  • Experience with SQL, Python, R, DAX, Power Query, PowerShell, or Bash.
  • Experience with Power BI, Tableau, or other business intelligence and data visualization tools.
  • Experience with data modeling, ETL or ELT processes, or building repeatable data pipelines.
  • Experience with data warehousing, aggregation, and storage strategies, including platforms such as Snowflake, BigQuery, or Databricks.
  • Experience working with REST APIs, webhooks, SFTP, or other methods of moving data between systems.
  • Experience building applications using LLM or other AI APIs.
  • Experience with Model Context Protocol (MCP) or similar AI integration technologies.
  • Experience with Claude Code or other AI-powered development tools.
  • Experience with AWS, GCP, Azure, or other cloud platforms.
  • Experience with Acumatica, ERP systems, accounting software, job cost data, or other business applications.
  • Exposure to statistics, forecasting, or basic data science methods.
  • Spanish language proficiency.
  • Personal, academic, open-source, or professional data and software projects. We care about what you can build and how you think-not just where you learned it.

Details:
  • Pay: $20-$25 per hour, based on experience and technical proficiency.
  • Location: Hybrid, with regular days at our Sandy, Utah office.
  • Eligibility: Must be authorized to work in the United States.

Salary Description
$20-$25/hr

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