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Analytics Engineer Jobs in Sandy, UT (NOW HIRING)

Lead and develop data analysts, analytics engineers, and technical leads. * Own financial data products supporting regulatory reporting, profitability/EPM, incentive compensation, expense allocation ...

New

Lead and develop data analysts, analytics engineers, and technical leads. * Own financial data products supporting regulatory reporting, profitability/EPM, incentive compensation, expense allocation ...

New

Lead and develop data analysts, analytics engineers, and technical leads. * Own financial data products supporting regulatory reporting, profitability/EPM, incentive compensation, expense allocation ...

New

Showing results 21-40

Analytics Engineer information

See Sandy, UT salary details

$58.8K

$102.6K

$167.3K

How much do analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for analytics engineer in Sandy, UT is $102,593.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,614.00 and $115,156.00 per year, depending on experience, location, and employer.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are popular job titles related to Analytics Engineer jobs in Sandy, UT? For Analytics Engineer jobs in Sandy, UT, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Sandy, UT look for? The top searched job categories for Analytics Engineer jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Analytics Engineer jobs? Cities near Sandy, UT with the most Analytics Engineer job openings:
Infographic showing various Analytics Engineer job openings in Sandy, UT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $102,593 per year, or $49.3 per hour.

Digital Analytics & Engineering Lead

1--800-Contact

Salt Lake City, UT โ€ข Hybrid

Full-time

Posted 3 days ago

New


Job description

SeekWell seeks a Manager of Digital Analytics & Engineering to steer measurement architecture across web and mobile, partnering with Marketing, Product, Engineering, and Data teams. You will design scalable analytics, maintain data integrity, and drive insights that influence strategy. The role blends analytics and engineering, requiring deep Adobe Analytics experience, data-layer design, and hands-on experimentation leadership. Hybrid work supported. #J-18808-Ljbffr