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Data Analytics Jobs in Tooele, UT (NOW HIRING)

Krux Analytics

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

We empower our customers to make better decisions through real-time data management and analytics. Understanding our customer's needs and the ability to solve their problems is what sets us apart.

Pwc

AI & GenAI Data Scientist-Director

Salt Lake City, UT · On-site

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

University of Utah

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and ...

Krux Analytics Inc.

Data Architect

Salt Lake City, UT · On-site +1

$61.25 - $78.75/hr

We empower our customers to make better decisions through real-time data management and analytics. Understanding our customer's needs and the ability to solve their problems is what sets us apart.

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

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All JobsData Analytics JobsData Analytics Jobs in Tooele, UT

Data Analytics information

See Tooele, UT salary details

$23

$51

$88

How much do data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data analytics in Tooele, UT is $51.40, according to ZipRecruiter salary data. Most workers in this role earn between $41.30 and $58.22 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

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 jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

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 job categories do people searching Data Analytics jobs in Tooele, UT look for? The top searched job categories for Data Analytics jobs in Tooele, UT are:
What cities near Tooele, UT are hiring for Data Analytics jobs? Cities near Tooele, UT with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Tooele, 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 $106,910 per year, or $51.4 per hour.

Alternative Data Management - Analyst

iCapital

Salt Lake City, UT • Hybrid

$60K - $65K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

About the Role

iCapital is seeking an Alternative Data Management Analyst to join the Data Solutions team. This individual must be comfortable working in a dynamic, performance-driven, fast-paced environment, and committed to delivering a high-quality, accurate product on a time-sensitive basis. The daily activities are diverse, from setting up and maintaining software applications, to ad hoc projects, and helping with data feed management. The role is a mix of finance and technology.

Responsibilities

  • Alternative Data Management
    • Data Acquisition, Sourcing and Maintenance - manage source document and retrieval methods related to alternative investment products
    • Data Integrity - enrich unstructured data into existing data infrastructure
    • Data Quality and Controls - ensure completeness, timeliness and accuracy of relevant investment data through validation and control processes
    • Data Governance - adhere to data governance best practices
    • Cross-Functional Collaboration - collaborate across teams to provide insights from alternative investment data across multiple reporting platforms and systems
    • Automation and Process improvement - continuously look for ways to automate and improve existing processes
    • Documentation and Knowledge Sharing - maintain and share standard operating procedures

Qualifications

  • Bachelor's in finance, Economics, Business Administration or related field
  • 0 - 3 years in data management, analysis, or financial operations
  • Proficiency in data management tools, excel and other software
  • General understanding of the alternative investment landscape
  • Ability to prioritize and execute tasks and meet deadlines
  • Commitment to continuously learn new technologies and adapt to new data and systems as industry evolves
  • Ability to identify and understand risks associated with data management processes
  • Ability to support the team and build relationships across teams

Benefits

The base salary range for this role is $60,000 to $65,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics

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