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Data Analytics Engineer Jobs in Utah (NOW HIRING)

This role owns the silver-to-gold data layer -- designing and maintaining pipelines, data models, and reporting infrastructure that serve internal teams and stakeholders. The Analytics Engineer works ...

Analytics Engineer This role will build out foundational agentic data tooling to support sales analytics and operations. As an Analytics Engineer at Podium you will be responsible for the ...

We are seeking a Senior Analytics Engineer to play a key role in advancing Trove Brands' analytics ... This individual will help drive data governance, data quality, and scalable analytics solutions ...

New

Analytics Engineer This role will build out foundational agentic data tooling to support sales analytics and operations. As an Analytics Engineer at Podium you will be responsible for the ...

Data analysis and report development, including high visibility, cross-departmental dashboards. * Data modeling and ETL development, ensuring accurate and quality data for Trove reporting needs.

New

Data Engineer

Lehi, UT · On-site +1

$107.50K - $129.10K/yr

Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols * Develop and refine a robust ...

Data Engineer

Lehi, UT · On-site +1

$107.50K - $129.10K/yr

Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols * Develop and refine a robust ...

Data Engineer

Lehi, UT · On-site

$107.50K - $129.10K/yr

Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols * Develop and refine a robust ...

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Showing results 1-20

Data Analytics Engineer information

See Utah salary details

$40.5K

$118.1K

$161.6K

How much do data analytics engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for data analytics engineer in Utah is $118,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What does a Data Analytics Engineer do?

A Data Analytics Engineer designs, builds, and maintains the systems and infrastructure needed to collect, store, and analyze large sets of data. They work closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and organized for analysis. Their responsibilities typically include building data pipelines, optimizing database performance, and ensuring data quality and security. Data Analytics Engineers play a crucial role in transforming raw data into actionable insights that drive business decisions.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What are the most commonly searched types of Data Analytics Engineer jobs in Utah? The most popular types of Data Analytics Engineer jobs in Utah are:
What are popular job titles related to Data Analytics Engineer jobs in Utah? For Data Analytics Engineer jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Data Analytics Engineer jobs? Cities in Utah with the most Data Analytics Engineer job openings:
Associate, Data & Analytics Engineer

Associate, Data & Analytics Engineer

Morgan Stanley

South Jordan, UT • On-site

$97.92K/yr

Full-time

Posted 23 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

37th of 138 rated financial services


Job description

Company Profile:
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.
In Technology, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
What you'll do in the role:
Morgan Stanley Services Group Inc. is seeking an Associate, Data & Analytics Engineer in South Jordan, UT to use data to create models depicting fraud trends in the customer base and the consumer population as a whole. Create data visualizations to understand fraud trends. Create effective technology solutions in improving efficiency using different analytical techniques and forecasting. Create rules in the rule's engine and conduct pre- and post- production testing to ensure effectiveness. Collaborate with cross- functional groups such as Customer Service, Product Management, Engineering, and Technology to enhance tools, data sources, system functionalities, and fraud detection methods. Communicate trends, findings, proposals, and solutions to management and stakeholders. Measure performance using appropriate tools and techniques. Recommend or introduce new tools used for fraud detection, prevention and reporting activities. Execute complex SQL queries including joins, subqueries, unions, and temporary tables. Telecommuting permitted up to 3 days per week.
What you'll bring to the role:
-Requires a Master's degree in Information Systems, Computer Science, Computer Engineering, or a related field of study.
-Requires two (2) years of experience in the position offered or two (2) years as an Associate, Business Technology Analyst, Systems Engineer, or a closely related occupation.
-Requires two (2) years of experience with the following skills:
  • SQL queries including joins, subqueries, unions, and temporary tables;
  • data visualization to create interactive dashboards and reports;
  • data modeling, validation, testing, and cleansing;
  • designing and developing ETL pipelines to support end-to-end dataflows;
  • root cause analysis;
  • integrating and aggregating data from internal and external sources;
  • gathering business requirements from stakeholders and translating into actionable analytics solutions;
  • AGILE methodologies;
  • enhancing data accuracy through troubleshooting and validation across data layers;
  • communicating with stakeholders and executive leadership through presentations and reports;
  • cross-functional partnerships with product, technology, and operations teams to improve data capabilities and workflows;
  • financial services, data, and products including Online banking, Transaction Data, and Checking and Savings Accounts;
  • minimizing operational risk including limiting information shared outside the firm, securing firm data, and authenticating clients.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $97,920 and $97,920 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

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