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Data Analytics Jobs in Sandy, UT (NOW HIRING)

Stio

Data Analyst

Salt Lake City, UT · Remote

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

Stio

Data Analyst

Salt Lake City, UT · Remote

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

Stio

Data Analyst

Salt Lake City, UT · Remote

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

Brevium

Data Analyst Assistant

American Fork, UT · On-site

$20 - $22/hr

Our team is dedicated to delivering advanced data analytics and insights to empower healthcare professionals. Responsibilities: * Collaborate with the data science team to understand, enhance, and ...

Brevium

Data Analyst Assistant

American Fork, UT

$20 - $22/hr

Our team is dedicated to delivering advanced data analytics and insights to empower healthcare professionals. Responsibilities: * Collaborate with the data science team to understand, enhance, and ...

Snap Finance

Data Analyst I

West Valley City, UT · On-site

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Economics, or a related field. * 0-2 years of experience in data analysis, business intelligence ...

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All JobsData Analytics JobsData Analytics Jobs in Sandy, UT

Data Analytics information

See Sandy, UT salary details

$23

$52

$89

How much do data analytics jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data analytics in Sandy, UT is $52.05, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $58.94 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Sandy, UT? The most popular types of Data Analytics jobs in Sandy, UT are:
What are popular job titles related to Data Analytics jobs in Sandy, UT? For Data Analytics jobs in Sandy, UT, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Sandy, UT look for? The top searched job categories for Data Analytics jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Data Analytics jobs? Cities near Sandy, UT with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Sandy, UT as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $108,262 per year, or $52 per hour.

Senior Business Analyst - Data Analytics

Utah Division of Human Resource Management

Taylorsville, UT • Hybrid

$83K - $104K/yr

Other

Posted 13 days ago

Job description

Key responsibilities and day to day responsibilities of this position:

  • Develop reports, briefs, dashboards, and data extracts related to child support and Medicaid recovery to support department operations, legislative requirements, executive leadership, and external partner needs using government, public, and industry data sources.
  • Design, develop, maintain, and optimize SQL-based data extracts, reporting solutions, analytical datasets, and automated reporting processes to support operational, research, evaluation, and decision-making activities.
  • Monitor, evaluate, audit, and review operations, programs, processes, systems, and reporting practices for quality, accuracy, effectiveness, compliance, and completeness; identify operational issues or potential problem areas and recommend data-driven solutions and process improvements.
  • Provide analytical guidance, research support, feasibility analysis, and strategic recommendations to internal and external stakeholders, including presenting findings, responding to legislative and public inquiries, and translating technical information into business terms for cross-functional audiences.
  • Assist with data quality reviews, query Management, data validation, quality control processes, and reporting integrity efforts to ensure accuracy, consistency, reliability, and compliance with agency standards and reporting requirements.
  • Ensure compliance with applicable laws, regulations, policies, procedures, reporting requirements, and data protection standards related to data governance, reporting practices, and the handling of sensitive or regulated information.
  • Recommend, adapt, design, and enhance automated systems, reporting solutions, and user-level system improvements to better support agency operations, complex business needs, and integration with existing systems.
  • Plan, coordinate, and support projects, programs, reporting initiatives, and operational improvement efforts by developing project documentation, recommendations, findings, and implementation support materials.
  • Work collaboratively with team members, leadership, technical staff, and stakeholders to support department initiatives, operational goals, and continuous process improvement efforts.

Position qualifies for Hybrid work schedule after probationary period.

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