1

Data Jobs in Sandy, UT (NOW HIRING)

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

As a Data Scientist working with Awardco's Go-to-Market (GTM) teams, you'll have the opportunity to partner with stakeholders across Marketing, Sales, Revenue Operations, and Customer Success ...

Data Architect

Salt Lake City, UT · On-site +1

$61.25 - $78.75/hr

Data Architect At Krux,Innovation Happens Together, by being a true partner to our customers, by valuing collaboration and teamwork, and by including a diversity of industry and life experience. We ...

MeetCute needs a data scientist MeetCute has a lot of data, and needs to mine that data to #hackdating. As a growing company, we're looking for smart, curious people to answer questions and provide ...

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Data Architect At Krux, Innovation Happens Together, by being a true partner to our customers, by valuing collaboration and teamwork, and by including a diversity of industry and life experience.

Data Architect

Salt Lake City, UT · On-site

$87 - $130/hr

Data Architect At Krux,Innovation Happens Together, by being a true partner to our customers, by valuing collaboration and teamwork, and by including a diversity of industry and life experience. We ...

As a Data Scientist working with Awardco's Go-to-Market (GTM) teams, you'll have the opportunity to partner with stakeholders across Marketing, Sales, Revenue Operations, and Customer Success ...

Data Modeler

Salt Lake City, UT

$53 - $68.75/hr

Company Description Krg Tech inc 661 558 0000* 509 Experience with logical and physical data modeling in a large Enterprise environment Proficient in Oracle/SQL server and ETL tools. Experience with ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

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 ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

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 ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

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 ...

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data pipelines and architectures that empower data-driven decision-making and business growth. In this ...

Data Engineer

Salt Lake City, UT · On-site

$120 - $150/hr

## Data EngineerApplylocations: Packsize Salt Lake Citytime type: Full timeposted on: Posted 2 Days Agojob requisition id: R-100735** ** About Packsize,Packsize is redefining the way businesses and ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

RC Willey is seeking a Data Engineer to collect, analyze, and interpret data that supports informed business decisions and drives performance. This role will develop data solutions using SQL, Power ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data pipelines and architectures that empower data-driven decision-making and business growth. In this ...

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Data Engineer 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 ...

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Data Engineer 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 ...

Showing results 21-40

Data information

See Sandy, UT salary details

$43.7K

$156.8K

$231.4K

How much do data jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data in Sandy, UT is $156,810.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $161,500.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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 solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

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

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

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

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

What cities near Sandy, UT are hiring for Data jobs?

Cities near Sandy, UT with the most Data job openings:

Infographic showing various Data job openings in Sandy, UT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $156,810 per year, or $75.4 per hour.

Data Scientist

Waystar

Lehi, UT • On-site

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago


Job description

ABOUT THIS POSITION
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Incumbents whose primary role is technical and focused on data storage, warehousing and systems architecture should be matched to Database Engineering or Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to Business Intelligence. Incumbents whose primary role is technical and focused on designing and building system-generated reports, reporting tools and dashboards for data generation should be matched to Data Informatics. Incumbents whose focus is primarily on experimental design and advanced or complex statistical analysis and modeling of datasets should be matched to Statistician/Mathematician. This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data should be matched to Finance, Market Research or Pricing as appropriate. May be internal operations-focused or external client-focused, working in conjunction with Professional Services and outsourcing functions.
WHAT YOU'LL DO
Job Description
We are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will interact with teams from Account Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product line. The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for this position can approach problem-solving challenges independently, has a strong attention to detail, and enjoys working in a fast-paced, collaborative, and team-based environment.
  • Additional Job Description
    • Complete familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods
    • Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing
    • Understanding of orders of algorithms and how they scale
    • Demonstrated competency in R/Python predictive modeling
    • Demonstrated competency in RDBMS (e.g. SQL Server)
    • Ability to code in 1+ general purpose programming language (C#, Java, etc.)
    • Must be a quick-learner with the ability to multi-task in a fast-paced environment
    • Outstanding presentation abilities and the ability to communicate with all levels of the Business
    • Comfortable working in newly-forming, ambiguous areas where learning and adaptability are key skills
    • Outstanding communication and interpersonal skills
    • Must possess strong analytical, problem-solving, and writing skills
    • Proficient in Microsoft Office applications
    • Detail-oriented
    • Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is preferred
    • An aptitude for medical informatics is preferred

WHAT YOU'LL NEED
Additional Job Description
  • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior
  • Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically-based features in core products
  • Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, producing quantitative, justifiable results to guide feature planning
  • Translates real-world Healthcare problems to mathematical frameworks
  • Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback
  • Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role
  • Understands, organizes, and communicates root causes of problems and successes succinctly

ABOUT WAYSTAR
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.