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Analytics Jobs in Bountiful, UT (NOW HIRING)

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 ...

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 ...

challenger

Data Warehouse Analytics Specialist

Sandy, UT

$17 - $21.75/hr

Data Warehouse & Analytics Specialist Location: Sandy, Utah (100% On-Site) Department: Research, Operations, and R&D About Challenger School Challenger School is an independent private school ...

challenger

Data Warehouse Analytics Specialist

Sandy, UT

$17 - $21.75/hr

Data Warehouse & Analytics Specialist Location: Sandy, Utah (100% On-Site) Department: Research, Operations, and R&D About Challenger School Challenger School is an independent private school ...

Synchrony Financial

VP, Amazon Analytics

Draper, UT · On-site

The VP, Analytics will lead portfolio analytics for the Amazon Credit and Payment portfolio, delivering insights, strategic initiatives, and decision-making framework that support nexGen growth ...

Synchrony

VP, Amazon Analytics

Draper, UT · On-site

The VP, Analytics will lead portfolio analytics for the Amazon Credit and Payment portfolio, delivering insights, strategic initiatives, and decision-making framework that support nexGen growth ...

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All JobsAnalytics JobsAnalytics Jobs in Bountiful, UT

Analytics information

See Bountiful, UT salary details

$60.8K

$118.1K

$168.7K

How much do analytics jobs pay per year?

As of Jul 19, 2026, the average yearly pay for analytics in Bountiful, UT is $118,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $140,500.00 per year, depending on experience, location, and employer.

What is analytics and what do analytics professionals do?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but overall, data analysts and related roles tend to offer competitive salaries.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types based on their focus: business analysts, who interpret data to inform business decisions; operations analysts, who optimize processes; financial analysts, who analyze financial data; and marketing analysts, who evaluate marketing campaigns and customer data. Each type requires specific skills and tools, such as SQL, Excel, and data visualization software, to perform their roles effectively.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What are the key skills and qualifications needed to thrive in Analytics, and why are they important?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, providing insights, and making strategic decisions. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human judgment still vital in the analytics field.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

Is 40 too late for data science?

The analytics field, including data science, values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with statistical knowledge and relevant certifications, can help late entrants succeed. Age is less a barrier than acquiring the necessary technical skills and building a strong portfolio.
What job categories do people searching Analytics jobs in Bountiful, UT look for? The top searched job categories for Analytics jobs in Bountiful, UT are:
What cities near Bountiful, UT are hiring for Analytics jobs? Cities near Bountiful, UT with the most Analytics job openings:
Analytics jobs near you

Senior Business Analyst - Data Analytics

Utah Division of Human Resource Management

Taylorsville, UT • Hybrid

$83K - $104K/yr

Other

This job post has expired today. Applications are no longer accepted.

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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