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Assistant Data Analyst Jobs in Layton, UT (NOW HIRING)

Nomi Health

Associate Data Analyst

Salt Lake City, UT · On-site

How you will make an impact: * Assist in analyzing medical and pharmacy claims data to identify trends, cost drivers, and opportunities for optimization. * Support provider contracting and payer ...

JT4, LLC

Operations Test and Data Analyst

Magna, UT · On-site

Analyze pre-test predictions to define data collection requirements * Assist in the conduct of test activities from control centers * Order, QC and analyze data; Identify and resolve basic data ...

L3HHCM20

Lead, Data Architect

Salt Lake City, UT

Solution Mapping and Design * Assist in evaluating and identifying appropriate data, analytics, and AI/ML approaches that align with business requirements. * Contribute to the design of scalable and ...

Bechtel

Data Integration PCE, Sentinel

Ogden, UT · On-site

Perform ad-hoc data analysis and reporting of project performance data as directed by management. * Assist employees with analysis of project performance data using standard productivity software ...

Bechtel

Data Integration PCE, Sentinel

Ogden, UT

Perform ad-hoc data analysis and reporting of project performance data as directed by management. * Assist employees with analysis of project performance data using standard productivity software ...

Boart Longyear

Analyst, FP&A

Salt Lake City, UT · On-site

The Analyst will work closely with Sales, Product Management, and other cross-functional teams to ... needs * Assist in improving reporting processes, templates, and data accuracy over time * ...

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All JobsData Analyst JobsAssistant Data Analyst JobsAssistant Data Analyst Jobs in Layton, UT

Assistant Data Analyst information

See Layton, UT salary details

$25.4K

$65.1K

$124.5K

How much do assistant data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for assistant data analyst in Layton, UT is $65,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $75,900.00 per year, depending on experience, location, and employer.

What is the difference between Assistant Data Analyst vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

What does an Assistant Data Analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are some common challenges an Assistant Data Analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

What are the key skills and qualifications needed to thrive as an Assistant Data Analyst, and why are they important?

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.
What are the most commonly searched types of Data Analyst jobs in Layton, UT? The most popular types of Data Analyst jobs in Layton, UT are:
What job categories do people searching Assistant Data Analyst jobs in Layton, UT look for? The top searched job categories for Assistant Data Analyst jobs in Layton, UT are:
What cities near Layton, UT are hiring for Assistant Data Analyst jobs? Cities near Layton, UT with the most Assistant Data Analyst job openings:
Assistant Data Analyst jobs near you
Infographic showing various Assistant Data Analyst job openings in Layton, UT as of July 2026, with employment types broken down into 69% Full Time, 6% Part Time, and 25% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $65,120 per year, or $31.3 per hour.
Associate Data Analyst

Associate Data Analyst

Nomi Health

Salt Lake City, UT • On-site

Full-time

Posted 7 days ago

Job description

We were tired of hearing that healthcare is broken, so we decided to do something about it. At Nomi Health, we believe the care itself isn't broken - it's the business of healthcare that gets in the way. Every year, more than $1 trillion is wasted on paperwork, delays, and middle layers that drive up costs and keep people from the care they need. 
 
We're rebuilding the system so it works the way it should: clear prices you can trust, faster payments that keep providers focused on patients, and data that helps employers make better decisions. Our work has already touched more than 30 million lives - from local communities in Michigan to some of the largest companies in the country. 

We are seeking a motivated Associate Data Analyst eager to grow their skills in healthcare claims, payer analytics, and reimbursement models. You will support the analysis of medical and pharmacy claims data to help inform contract negotiations, provider reimbursement strategies, and sales initiatives. This is a great opportunity to build foundational knowledge of payer systems, Medicare reimbursement structures, fee schedules, and healthcare financial models under the guidance of experienced teammates. 
How you will make an impact:

  • Assist in analyzing medical and pharmacy claims data to identify trends, cost drivers, and opportunities for optimization. 

  • Support provider contracting and payer teams by pulling and summarizing data on reimbursement models, pricing structures, and fee schedules. 

  • Assist in building and maintaining financial models to assess payer performance, reimbursement strategies, and cost containment opportunities. 

  • Collaborate with sales and contracting teams to deliver ad hoc data pulls and reports that support growth initiatives. 

  • Work with Medicare, Medicaid, and commercial claims data to support tracking reimbursement trends and regulatory changes. 

  • Build and maintain reports and dashboards using SQL, Power BI, or Tableau to visualize key business metrics. 

  • Support evaluation of the financial impact of alternative payment models, value-based care initiatives, and provider incentives. 

  • Perform quality checks to ensure data integrity and accuracy in claims analysis. 

  • Partner with internal teams to support claims processing workflows, payment accuracy, and operational efficiencies. 

What we are looking for:
  • 0-2 years of experience in healthcare claims analysis, payer analytics, or related field; internship or academic project experience welcome. 

  • Basic familiarity with Medicare and commercial payer reimbursement concepts; willingness to learn reimbursement methodologies on the job. 

  • Exposure to medical and pharmacy claims data or healthcare financial concepts is a plus; training will be provided. 

  • Working knowledge of SQL for data querying; familiarity with Python or R is a plus. 

  • Experience/interest leveraging AI tools to automate workflows.  

  • Any exposure to contract negotiations, network management, or provider relations is a plus. 

  • Strong communication skills and the ability to clearly present data findings to teammates and stakeholders. 

Nomi Health delivers disruptive healthcare solutions, in partnership with like-minded employers, public sector organizations, advisors (brokers/consultants), and payers/TPAs. We're a team of 300+ people who show up every day with the same mindset: don't settle for "that's just how it is." Real change happens when you challenge the system, cut through the excuses, and build something better together. 
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