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Sql Data Analyst Jobs in Utah (NOW HIRING)

The Business Intelligence Data Analyst designs and develops software-based data modeling and ... Advanced SQL and experience with a variety of relational databases. Strong analytical skills and ...

The Business Intelligence Data Analyst designs and develops software-based data modeling and ... KNOWLEDGE, SKILLS, ABILITIES: • Proficient with Microsoft Office Suite. • Advanced SQL and ...

Data Engineer/Analyst

Layton, UT · On-site

$90 - $120/hr

Leverage PySpark and Spark SQL in Databricks to architect and maintain big data ETL processes * Implement data lineage, logging, and auditability preferably with exposure to Azure Log Analytics and ...

Assists in the analysis of underlying issues arising from investigations into requirements. Assists the project team in the completion of project-related documentation. Recommended Experience ...

Experience using Python, or SQL, or similar scripting/querying languages to analyze and validate data across complex systems and customer workflows (2 years). * Experience creating reports and ...

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Sql Data Analyst information

See Utah salary details

$19.6K

$79.7K

$115.6K

How much do sql data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for sql data analyst in Utah is $79,724.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $91,000.00 per year, depending on experience, location, and employer.

What is an SQL data analyst?

An SQL Data Analyst is a professional who uses SQL (Structured Query Language) to extract, analyze, and interpret data stored in relational databases. They transform raw data into actionable insights by writing queries, creating reports, and visualizing trends to support business decision-making. SQL Data Analysts also help ensure data quality, optimize database performance, and collaborate with other teams to meet organizational goals.

What does an SQL data analyst do?

A SQL data analyst is a data scientist that uses the SQL language to interpret data. This analysis is used to improve business information and provide new insights to managers. Your primary responsibilities revolve around creating these analysis reports, but SQL analytical skills are in demand in many different industries, so specific duties can vary. In many positions, you may be tasked with database upkeep as well, developing infrastructure that increases system efficiency. Regarding academic qualifications, this career requires a bachelor’s degree in either computer science, electrical engineering, information technology, or statistics. Most aspiring SQL analysts gain experience through internships while pursuing their degree.

What are the key skills and qualifications needed to thrive as a SQL data analyst, and why are they important?

To thrive as a SQL Data Analyst, a strong command of SQL, data modeling, and statistical analysis is essential, often supported by a degree in computer science, statistics, or a related field. Familiarity with database management systems like Microsoft SQL Server or MySQL, as well as tools such as Excel, Tableau, or Power BI, is typically required, and certifications like Microsoft Certified: Data Analyst Associate can be advantageous. Analytical thinking, attention to detail, and effective communication stand out as key soft skills for interpreting data and explaining results to stakeholders. These competencies enable accurate data-driven decision-making, efficient data management, and clear insights that support organizational goals.

How does a SQL data analyst typically collaborate with cross-functional teams to deliver insights?

As a SQL Data Analyst, collaboration with cross-functional teams such as product managers, engineers, and business stakeholders is a key part of the role. Analysts often gather requirements from these teams, translate business questions into data queries, and present actionable insights through reports or dashboards. Regular meetings and clear communication are essential to ensure that analysis aligns with business objectives and that results are understood and actionable. This collaborative approach not only improves data-driven decision-making but also provides analysts with valuable context, enhancing the impact of their work.

What is the difference between Sql Data Analyst vs Data Engineer?

AspectSql Data AnalystData Engineer
Required SkillsSQL, data visualization, reportingSQL, programming, data pipeline development
CertificationsSQL certifications, data analysis coursesCloud certifications, programming certifications
Work EnvironmentBusiness intelligence teams, data analysis departmentsData infrastructure teams, software engineering environments
Industry UsageFinance, marketing, healthcareTech, finance, large-scale data platforms

Sql Data Analysts focus on interpreting data, creating reports, and visualizations using SQL. Data Engineers build and maintain data pipelines and infrastructure to support data analysis. While both roles require SQL skills, Data Engineers typically have programming expertise and work on data architecture, whereas Sql Data Analysts concentrate on analyzing and presenting data insights.

Do data analysts still use SQL?

Yes, data analysts still use SQL as a fundamental tool for extracting, managing, and analyzing data from relational databases. Proficiency in SQL is often essential for performing data queries, creating reports, and supporting data-driven decision-making in many organizations.

Do data analysts still use SQL?

Yes, data analysts still use SQL as a fundamental tool for extracting, managing, and analyzing data from relational databases. Proficiency in SQL is often required for data analysis roles, alongside skills in data visualization and statistical tools.

Does SQL pay well?

Data analysts who use SQL often earn competitive salaries, especially with experience and proficiency in database management, data visualization, and analytics tools. Salaries vary by industry and location but generally reflect the demand for data skills in the job market.

Is SQL high demand?

SQL Data Analysts are in high demand across many industries due to the widespread need for data management and analysis. Proficiency in SQL, along with skills in data visualization and database management, can lead to strong job prospects and competitive salaries.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, providing insights, and making strategic decisions. Skills in SQL, data visualization, and critical thinking remain essential, as AI tools are used to augment rather than replace human judgment in data analysis.

What are the most commonly searched types of Sql Data Analyst jobs in Utah?

The most popular types of Sql Data Analyst jobs in Utah are:

What are popular job titles related to Sql Data Analyst jobs in UT?

For Sql Data Analyst jobs in UT, the most frequently searched job titles are:

Infographic showing various Sql Data Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $79,724 per year, or $38.3 per hour.

Full-time

Medical, Retirement, PTO

Posted 22 days ago


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Job description


Job Description
SUMMARY:
The Business Intelligence Data Analyst designs and develops software-based data modeling and visualizations with Business Intelligence (BI) tools. This role utilizes various analytical and programming skills to develop BI solutions and supports leadership by designing proactive, value-added data models to provide insight into data driven decision-making

JOB DUTIES:
Responsible for end-to-end design and maintenance of BI tool data sets, data models, reports, dashboards and visualizations in support of all department functions,
Designs, develops and optimizes data models for the business unit and other departments.
Routinely meets with various stakeholders to understand their data needs. Develops solutions and processes to fulfill requirements. This typically includes BI dashboards, Python programs, or Excel/VBA reports.
Enhances business insights and decision making with robust, intuitive data visualizations.
Leverages transactional data from enterprise resource planning (ERP) applications to extract, transform and model into reporting and analytics solutions.
Coordinates incremental creation and structure of QVD files from disparate data sources.
Identifies the most impactful layout and presentation of key performance metrics in easy to use self-service dashboards.
Partners with the IT team to develop security standards for BI applications and usage of QVD files containing sensitive financial information.
Partners and develops relationships with cross-functional leaders to improve processes and documentation, and recommends changes that lead to the adoption of world class processes.
Proactively seeks out opportunities to increase business knowledge and create visibility within the organization.
Generates new ideas to streamline processes and collaborates with other departments to create operational efficiencies.
Establishes and implements best practices for data modeling & visualization. Ensures data accuracy.
Performs other duties as assigned.

EDUCATION & EXPERIENCE:
Typically requires a bachelor's degree in information systems and three (3) to five (5) years of related work experience or an equivalent combination.

KNOWLEDGE, SKILLS, ABILITIES:
Proficient with Microsoft Office Suite.
Advanced SQL and experience with a variety of relational databases.
Strong analytical skills and the ability to propose positive business solutions.
Reliability, organization and attention to detail.
Excellent written and oral communication, including presentation skills.
Knowledge of database design techniques and advanced SQL skills required.
Proficiency in Python, R, or other statistics platform preferred.
Professional presence with excellent interpersonal skills, including the ability to interact with management at corporate and department levels.
Forward-thinking in implementing tools and techniques to improve analytics, driving better business decisions. Self-motivated and able to independently manage multiple responsibilities concurrently
Ability to collaborate within a team, managing team dynamics and relationships.
Strong partnership skills, across all levels of management, with ability to influence and challenge decisions and processes.
Driver of results, developer and influencer of peers.


LICENSES & CERTIFICATIONS: BI tool certification preferred.

COMPANY INFORMATION:
Motion Industries offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition, reimbursement, vacation, sick, and holiday pay.

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