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Data Analyst Jobs in Orem, UT (NOW HIRING)

Data Analyst - Data Integration & Enablement Location: Salt Lake City, UT Job Type: Contract Experience: 2+ years Education: Bachelor's degree preferred Job Summary Our client is seeking a Data ...

Data Analyst

Lehi, UT · On-site

$70 - $90/hr

The Data Analyst independently analyzes diverse data sets to identify trends, deliver insights, and guide strategic business decisions. This mid-level role collaborates across departments, develops ...

The Data Analyst independently analyzes diverse data sets to identify trends, deliver insights, and guide strategic business decisions. This mid-level role collaborates across departments, develops ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect Lightspeed's DMS platform with OEMs, aftermarket manufacturers, and internal teams. This individual will ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect Lightspeed's DMS platform with OEMs, aftermarket manufacturers, and internal teams. This individual will ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect Lightspeed's DMS platform with OEMs, aftermarket manufacturers, and internal teams. This individual will ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do * Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do * Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do * Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do * Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

The Effector-Optics (EO) Department is looking for a Senior EO Sensor Analyst / Engineer to develop and implement structured and robust data analysis tools to support production Tier II Exo ...

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Data Analyst information

See Orem, UT salary details

$29.6K

$71.8K

$118.2K

How much do data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data analyst in Orem, UT is $71,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $84,300.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Orem, UT?

The most popular types of Data Analyst jobs in Orem, UT are:

What are popular job titles related to Data Analyst jobs in Orem, UT?

For Data Analyst jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Data Analyst jobs in Orem, UT look for?

The top searched job categories for Data Analyst jobs in Orem, UT are:

What cities near Orem, UT are hiring for Data Analyst jobs?

Cities near Orem, UT with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Orem, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $71,845 per year, or $34.5 per hour.

Data Analyst

KēSTA I.T.

Midvale, UT

$45 - $60/hr

Full-time

Posted 4 days ago


Job description

Data Analyst – Data Integration & Enablement

Location: Salt Lake City, UT

Job Type: Contract

Experience: 2+ years

Education: Bachelor’s degree preferred

Job Summary

Our client is seeking a Data Analyst to support data integration and enablement initiatives. This role will help build and maintain the data foundation supporting regulatory and financial reporting, analytics, and other business initiatives.

The Data Analyst will work with both business and technology teams to gather requirements, profile source systems, design data flows, document metadata and transformation logic, develop test cases, and validate data quality.

The role will work with data across modern platforms including Enterprise Data Warehouse, Data Lake, Data Mesh, and Operational Data Store (ODS) environments.

Responsibilities

  • Gather and translate business requirements into data solutions.
  • Partner with business and technology stakeholders to understand data requirements.
  • Profile source systems and understand underlying data models.
  • Design efficient data integrations and data flows.
  • Document metadata, transformation rules, and data lineage.
  • Develop and execute test cases to validate data quality and integrity.
  • Build and maintain automated processes for data validation and reporting.
  • Validate data accuracy, completeness, and usability.
  • Collaborate with end users to ensure delivered data meets business requirements.
  • Support data integration and enablement initiatives across the organization.

Required Qualifications

  • 2+ years of experience in data analysis, data integration, or a related field.
  • Strong SQL skills, including data profiling, transformation, testing, and validation.
  • Experience with Python.
  • Experience gathering requirements and working directly with business stakeholders.
  • Strong analytical and problem-solving skills.
  • Strong written and verbal communication skills.
  • Experience documenting technical processes, data requirements, and transformation logic.
  • Bachelor’s degree in data, analytics, business, computer science, or a related field.
  • Demonstrated experience providing project leadership or mentoring others.

Preferred Qualifications

  • Experience with modern data stack technologies such as dbt, Databricks, and GCP.
  • Familiarity with Enterprise Data Warehouse, Data Lake, Data Mesh, or ODS environments.
  • Understanding of data governance, metadata, data lineage, and data quality practices.
  • Familiarity with AI concepts and prompt engineering.

Technical Skills

  • Advanced SQL
  • Python
  • dbt
  • Databricks
  • Google Cloud Platform (GCP)
  • Data profiling and validation
  • Data transformation
  • Data quality testing
  • Data integration
  • Data lineage and metadata

Education and experience may be considered in combination to meet the requirements of the position.