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Data Jobs in Sandy, UT (NOW HIRING)

Patientco

Data Scientist

Lehi, UT · On-site

The data scientist role involves solving data-driven Healthcare problems using various machine learning and predictive modeling methods. This person will primarily work as part of the larger Data ...

Crew Career Center

Data Scientist

Lehi, UT · On-site

The data scientist role involves solving data-driven Healthcare problems using various machine learning and predictive modeling methods. This person will primarily work as part of the larger Data ...

swirecc

Data Scientist

Draper, UT · On-site

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence ...

swirecc

Data Scientist

Draper, UT · On-site

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence ...

krg technology inc

Data Modeler

Salt Lake City, UT · On-site

$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 ...

A

Data Analyst

Salt Lake City, UT

Full-time Description Do you enjoy turning complex data into meaningful business decisions? Are you the type of analyst who asks "why" instead of simply reporting "what"? If so, A&K Railroad ...

Crumbl

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality * Develop and maintain documentation, including data dictionaries, workflow ...

Packsize International LLC

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 ...

Red Cat Holdings

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Red Cat Holdings is seeking a Data Engineer to build their data foundation from the ground up. The role involves creating ETL/ELT pipelines, setting up a cloud data warehouse, and collaborating with ...

Atonom

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 ...

Neighbor

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

Crumbl

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

The successful candidate will be responsible for building and maintaining data pipelines to support data-driven decision-making across the organization. Responsibilities : • Design, build, and ...

Packsize

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 ...

Neighbor

Data Engineer

Lehi, UT

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

Crumbl

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality * Develop and maintain documentation, including data dictionaries, workflow ...

Crumbl

Data Engineer

Provo, UT

$108K - $130K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality * Develop and maintain documentation, including data dictionaries, workflow ...

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

Data Engineer (Mid-Level) Utah (Local Required) Overview AutoSavvy is a fast-growing automotive retailer focused on providing high-quality, branded title vehicles at competitive prices nationwide. We ...

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All JobsData JobsData Jobs in Sandy, UT

Data information

See Sandy, UT salary details

$43.7K

$156.8K

$231.4K

How much do data jobs pay per year?

As of Jul 15, 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 do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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 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 is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

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 interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

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 skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
More about Data jobs
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:
Data jobs near you
Infographic showing various Data job openings in Sandy, UT as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $156,810 per year, or $75.4 per hour.
Data Scientist

Data Scientist

Patientco

Lehi, UT • On-site

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago

Job description

ABOUT THIS POSITION

We are looking for an experienced Data Scientist. The data scientist role involves solving data-driven Healthcare problems using various machine learning and predictive modeling methods. This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of predictive modeling and data driven strategies across Waystar. applying machine learning, predictive modeling, and analytic components to maximize operational outcomes for healthcare providers. The ideal candidate for this position will have exposure to the healthcare revenue cycle, can approach problem-solving challenges independently, has a strong attention to detail, and enjoys working in a fast-paced, collaborative, and team-based environment.

WHAT YOU'LL DO

  • Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational value.

  • 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 new applications of machine learning and analytic technology within 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 succinctly. 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

  • Demonstrated competency in R/Python predictive modeling

  • Demonstrated competency in RDBMS (e.g. SQL Server)

WHAT YOU'LL NEED

  • Must be a quick-learner with the ability to multi-task in a fast-paced environment

  • Presentation abilities and the ability to communicate with all levels of the Business.

  • Comfortable working in ambiguous areas where learning and adaptability are key skills.

  • Competent communication and interpersonal skills

  • Proficient in Microsoft Office applications

  • Bachelor's degree in the fields of Computer or Data Science, Statistics, or Mathematics is required. Additional experience and/or education in healthcare, business operations or other areas is preferred.

  • An aptitude for medical informatics is preferred

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.comor follow @Waystaron 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.

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