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Analytic Engineer Jobs in Utah (NOW HIRING)

TAB Bank

Data Analytics Engineer

Ogden, UT

$112K - $134K/yr

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the bank's Business Intelligence pipelines, modeling, and reporting. This role bridges data engineering ...

MX Technologies, Inc.

Senior Analytics Engineer

Lehi, UT · On-site

$98K - $134K/yr

Job Summary As a Senior Analytics Engineer within the Operational Analytics department, you'll play a key role in transforming complex, raw data into reliable and performant data products that power ...

TAB Bank

Data Analytics Engineer

Ogden, UT · On-site

$112K - $134K/yr

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the bank's Business Intelligence pipelines, modeling, and reporting. This role bridges data engineering ...

Flex

Failure Analysis Engineer

Salt Lake City, UT · On-site

Job Summary To support our extraordinary teams who build great products and contribute to our growth, we're looking to add a Failure Analysis Engineer located in Salt Lake City, UT. In this role, the ...

Nature's Sunshine Products

Analytics Engineer

Lehi, UT · On-site

As an Analytics Engineer, you will build and maintain analytics assets that turn business logic into reliable, reusable data products. Your work will include dimensional models, trusted datasets ...

Apply Early

Nature's Sunshine Products

Analytics Engineer

Lehi, UT · On-site

As an Analytics Engineer, you will build and maintain analytics assets that turn business logic into reliable, reusable data products. Your work will include dimensional models, trusted datasets ...

Gabb Wireless

Marketing Analytics Engineer

Lehi, UT

What You'll Do Analytics Engineering & Data Modeling * Own and extend our SQL data models (primarily dbt) for marketing and business reporting, maintaining clean, well-documented, test-covered code.

Gabb Wireless

Marketing Analytics Engineer

Lehi, UT · On-site

What You'll Do Analytics Engineering & Data Modeling * Own and extend our SQL data models (primarily dbt) for marketing and business reporting, maintaining clean, well-documented, test-covered code.

Gabb Wireless

Marketing Analytics Engineer

Lehi, UT

What You'll Do Analytics Engineering & Data Modeling * Own and extend our SQL data models (primarily dbt) for marketing and business reporting, maintaining clean, well-documented, test-covered code.

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All JobsAnalytic Engineer JobsAnalytic Engineer Jobs in Utah

Analytic Engineer information

See Utah salary details

$35.5K

$92.6K

$125.2K

How much do analytic engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for analytic engineer in Utah is $92,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $106,100.00 per year, depending on experience, location, and employer.

What is the difference between Analytic Engineer vs Data Engineer?

AspectAnalytic EngineerData Engineer
CredentialsTypically requires a degree in data science, statistics, or related fields; often certifications in SQL, Python, or cloud platformsRequires a degree in computer science, software engineering, or related fields; certifications in cloud services, SQL, and data pipeline tools
Work EnvironmentFocuses on analyzing data, building data models, and creating dashboards; collaborates with data scientists and business teamsBuilds and maintains data pipelines, databases, and infrastructure; works closely with data engineers and software developers
Industry UsageCommonly found in analytics teams, business intelligence, and data-driven decision-making rolesPrimarily in data infrastructure, big data projects, and data platform development

In summary, Analytic Engineers focus on transforming data into insights through analysis and modeling, while Data Engineers build the infrastructure to support data collection and storage. Both roles are essential in data teams but serve different functions within the data ecosystem.

Are analytic engineers in demand?

Analytic engineers are in high demand due to the increasing reliance on data-driven decision making across industries. They typically require skills in data modeling, SQL, and tools like Python or Spark, and often find opportunities in technology, finance, and healthcare sectors.

What does an analytics engineer do?

An analytics engineer designs, builds, and maintains data pipelines and infrastructure to enable accurate data analysis. They often work with tools like SQL, Python, and data warehouses, ensuring data quality and accessibility for data teams and stakeholders.

How much do analytics engineers make?

Analytics engineers in Chicago typically earn a median salary ranging from $90,000 to $120,000 annually, depending on experience, skills, and certifications. Salaries can vary based on company size, industry, and the complexity of data infrastructure managed, with higher compensation often associated with proficiency in SQL, Python, and data pipeline tools.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. These roles often require expertise in programming, cloud platforms, and sometimes management responsibilities or stock options.
What are popular job titles related to Analytic Engineer jobs in Utah? For Analytic Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Analytic Engineer jobs in Utah look for? The top searched job categories for Analytic Engineer jobs in Utah are:
What cities in Utah are hiring for Analytic Engineer jobs? Cities in Utah with the most Analytic Engineer job openings:
Analytic Engineer jobs near you
Senior Analytics Engineer

Senior Analytics Engineer

MX Technologies, Inc.

Lehi, UT

Other

Posted 13 days ago

Job description

Job Summary

As a Senior Analytics Engineer within the Operational Analytics department, you'll play a key role in transforming complex, raw data into reliable and performant data products that power insights across MX. You'll combine deep technical expertise in SQL, data modeling, and cloud-based data warehouses (such as Google BigQuery) with a strong sense of data stewardship, ensuring accuracy, accessibility, and trust in the analytics that drive business and product decisions.

This role is ideal for a data professional who thrives at the intersection of engineering and analytics-someone who can architect and maintain scalable data models, enforce high standards for data quality, and collaborate closely with cross-functional partners to enable data-driven decisions. As a trusted internal expert, you'll lead by example through mentorship, documentation, and process innovation, helping elevate data practices across the organization.

Job Duties

  • Data Stewardship:
    Design, build, and maintain data pipelines and models that transform raw data into reliable, production-ready datasets. Manage and document data definitions, lineage, and transformations using GitLab or similar tools.

  • Data Quality and Governance:
    Establish and monitor data quality tests to ensure completeness, accuracy, and consistency. Partner with business stakeholders, IT, and data engineering teams to define and enforce governance standards.

  • Data Accessibility and Democratization:
    Develop intuitive, business-friendly data models and assets optimized for analytics. Ensure the right data is available to the right people at the right time, empowering self-service analytics and operational reporting.

  • Feature Store and Data Product Development:
    Curate and maintain high-value datasets and features in the Feature Store to support analytical and machine learning use cases. Track usage metrics and continually optimize for performance and impact.

  • Collaboration and Mentorship:
    Partner cross-functionally with analysts, engineers, and product teams to define data requirements, identify opportunities for process improvements, and align on strategic priorities. Provide mentorship and technical guidance to junior team members.

  • Continuous Improvement:
    Stay current with emerging technologies, tools, and trends in analytics engineering, cloud computing, and data governance. Lead or contribute to initiatives that improve scalability, efficiency, and reliability of MX's data ecosystem.

Requirements

  • Education:
    Bachelor's degree required, preferably in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.

  • Experience:
    Minimum 5 years of experience in analytics engineering, data engineering, or business intelligence roles, with a proven track record of designing and delivering reliable, high-performance data products at scale.

  • Technical Skills:

    • Expert-level SQL proficiency (including advanced window functions, CTEs, subqueries, and query optimization).

    • Strong understanding of dimensional modeling, star/snowflake schemas, and SCD management.

    • Proficiency with cloud data warehouses (Google BigQuery preferred; Snowflake, Redshift, or Databricks acceptable).

    • Familiarity with programming languages such as Python for workflow automation and data quality checks.

    • Experience with modern data versioning and collaboration tools (Git, CI/CD pipelines).

    • Understanding of data governance, lineage, and cataloging tools (e.g., dbt, Dataform, or equivalent).

  • Professional Skills:

    • Proven ability to collaborate cross-functionally and communicate complex data concepts to non-technical audiences.

    • Strong analytical and problem-solving skills, with keen attention to detail and system-level thinking.

    • Demonstrated adaptability and perseverance in fast-paced, evolving environments.

    • Commitment to quality, transparency, and building trust through reliable data products.

    • Track record of mentoring peers and contributing to the growth of data capabilities within an organization.

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