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Full Time Data Analyst Jobs in Utah (NOW HIRING)

Data Engineer

Lehi, UT ยท On-site

$107K - $129K/yr

This is a full-time role and will work a hybrid schedule in Lehi, Utah. Essential Duties and ... Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science ...

Data Engineer

Lehi, UT ยท On-site

$107K - $129K/yr

This is a full-time role and will work a hybrid schedule in Lehi, Utah. Essential Duties and ... Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science ...

Integration Analyst Intern1 Integration Analyst Intern in the Data & AI Team Launch Your Career ... This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ...

Integration Analyst Intern1 Integration Analyst Intern in the Data & AI Team Launch Your Career ... This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ...

Research Associate

Salt Lake City, UT ยท On-site

$55K - $75K/yr

... Data Analyst Career Progression Track A00 Track Level FLSA Code Professional Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule ...

Research Associate

Salt Lake City, UT ยท On-site

$55K - $75K/yr

... Data Analyst Career Progression Track A00 Track Level FLSA Code Professional Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule ...

Lead Data Scientist

Draper, UT ยท On-site +1

$144K - $250K/yr

Conjoint Analysis * Agentic AI Reports To : Senior Manager and above Direct Reports : 0 Work ... You must be work authorized in the United States on a full time basis without the need for any ...

Showing results 21-40

Full Time Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

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

As of Aug 21, 2026, the average yearly pay for full time data analyst in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What does a full time data analyst do?

A Full Time Data Analyst is responsible for collecting, processing, and analyzing large sets of data to help organizations make informed decisions. They use statistical tools and techniques to interpret data trends and patterns, create reports and visualizations, and present actionable insights to stakeholders. Data analysts often work with databases, spreadsheets, and specialized software to ensure data accuracy and reliability. Their work supports business strategies, improves efficiency, and identifies opportunities for growth.

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

To thrive as a Full Time 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, Python, Excel, and visualization platforms such as Tableau or Power BI is typically required. Strong problem-solving abilities, communication skills, and attention to detail help analysts present actionable insights and collaborate effectively with stakeholders. These skills and qualifications are crucial for transforming raw data into meaningful information that drives business decisions.

What are typical collaboration partners for a full time data analyst, and how do they work together on projects?

Full Time Data Analysts frequently collaborate with cross-functional teams such as business stakeholders, software engineers, and product managers. They work closely with these partners to understand data needs, define project goals, and translate technical findings into actionable business insights. Regular meetings, data review sessions, and feedback loops are common practices to ensure alignment and effective communication throughout a project's lifecycle. This collaborative approach helps ensure that data-driven recommendations are both relevant and implementable.

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

AspectFull Time Data AnalystPart Time Data Analyst
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
Employment StatusFull-time employmentPart-time employment
CertificationsOften requires relevant degrees and certificationsMay require similar credentials but with flexible schedules
Work EnvironmentOffice or remote, full-time engagementFlexible, part-time roles often remote or freelance

Full Time Data Analysts work regular hours, often in a dedicated office or remote setting, with full employment benefits. Part Time Data Analysts work fewer hours, offering flexibility but typically with limited benefits. Both roles require similar skills and certifications, but the commitment level differs.

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

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

What cities in Utah are hiring for Full Time Data Analyst jobs?

Cities in Utah with the most Full Time Data Analyst job openings:

Infographic showing various Full Time Data Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Data Engineer

Pattern

Lehi, UT โ€ข On-site

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern's ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces-including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected].
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek's Global Most Loved Workplacesยฎ.
We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you will collaborate with cross-functional teams to design, build, and maintain scalable data pipelines, manage and optimize data flows, and support data-driven decision-making processes. This position is ideal for individuals with some hands-on experience in data engineering who are eager to grow and develop their technical expertise.
This is a full-time role and will work a hybrid schedule in Lehi, Utah.
Essential Duties and Responsibilities
  • Develop, deploy, and support real-time, automated, scalable data streams from a variety of sources into the data lake or data warehouse.
  • Develop and implement data auditing strategies and processes to ensure data quality; identify and resolve problems associated with large-scale data processing workflows; implement technical solutions to maintain data pipeline processes and troubleshoot failures.
  • Collaborate with technology teams and partners to specify data requirements and provide access to data.
  • Tune application and query performance using profiling tools and SQL or other relevant query languages.
  • Understand business, operations, and analytics requirements for data
  • Build data expertise and own data quality for assigned areas of ownership.
  • Work with data infrastructure to triage issues and drive to resolution.

Required Qualifications
  • Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience.
  • 3-5 years of experience working with SQL.
  • Familiarity with implementing modern data architecture-based data warehouses.
  • Familiarity with data warehouses such as Redshift, BigQuery, or Snowflake and understanding of data architecture design.
  • Strong communication skills (both in presentation and comprehension).
  • Exposure to data visualization tools like Tableau or ThoughtSpot.

Preferred Qualifications
  • Experience working with time series databases.
  • Experience with SQL, including the ability to write stored procedures, triggers, analytic/windowing functions, and tuning.
  • Knowledge of Snowflake.
  • Familiarity with Big Data, non-relational databases, Machine Learning and Data Mining.
  • Familiarity with cloud-based technologies including SNS, SQS, SES, S3, Lambda, and Glue.
  • Familiarity with modern data platforms like Redshift, Cassandra, DynamoDB, Apache Airflow, Spark, or ElasticSearch.
  • Understanding of Data Quality and Data Governance.

Our Core Values
  • Data Fanatics: Our edge is always found in the data.
  • Partner Obsessed: We are obsessed with partner success.
  • Team of Doers: We have a bias for action.
  • Game Changers: We encourage innovation.

We are looking for individuals who are:
  • Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern's processes and outcomes.
  • Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
  • Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner's expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
  • Team of Doers- Someone who is a part of team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.

What is the hiring process?
  • Initial phone interview with Pattern's talent acquisition team
  • Technical Interview with a member of the team
  • Video interview with a hiring manager
  • Professional reference checks
  • Executive review
  • Offer

How can I stand out as an applicant?
  • Be prepared to talk about professional accomplishments with specific data to quantify examples.
  • Be ready to talk about how you can add value and be the best addition to the team.
  • Focus on mentioning how you would be partner obsessed at Pattern.
  • Be prepared to talk about any side projects related to data and analytics.

Why should I work at Pattern?
Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:
- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.
Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
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.