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Data Analytics Jobs in Tooele, UT (NOW HIRING)

This role will report directly to the Director of Data Analytics, but will primarily focus on the needs of the SVP of Revenue Operations. The ideal candidate will come in with a strong knowledge of ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

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 ...

Develop analytics to address customer needs and opportunities. Work alongside software developers ... Work with data engineers on data quality assessment, data cleansing and data analytics Generate ...

Sr. Data Analyst

Salt Lake City, UT · On-site +1

$83K - $105K/yr

... Analytics team, you will be expected to be fluent in all aspects of strategic problem solving - from identifying opportunities to analyzing data, presenting results, and driving change. This role is ...

Sr. Data Analyst

Salt Lake City, UT · On-site

$83K - $105K/yr

... Analytics team, you will be expected to be fluent in all aspects of strategic problem solving - from identifying opportunities to analyzing data, presenting results, and driving change. This role is ...

Work with Pricing Analytics leadership to design, prototype, develop and execute econometric models for data driven price optimization techniques. * Take initiative, apply critical thinking, and ...

Showing results 21-40

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:
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.

Sales Performance Data Analyst

Filevine

Salt Lake City, UT • On-site

$80K - $100K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 17 days ago


Job description

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform-where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine's rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Summary:
The Sales Analyst will be responsible for driving sales intelligence and performance visibility across the sales organization. This role involves analyzing and reporting on SaaS sales KPIs, pipeline health, and rep performance. The ideal candidate brings a solid understanding of SaaS sales metrics and modern dashboarding best practices, and is eager to grow into a senior analytics role by learning the full depth of our business - from pipeline generation through closed-won and beyond.
This role will report directly to the Director of Data Analytics, but will primarily focus on the needs of the SVP of Revenue Operations. The ideal candidate will come in with a strong knowledge of SaaS metrics and will be self-sufficient and independently research our data to give recommendations, analysis, and findings directly to executive leadership.
Responsibilities:
  • Sales Performance Reporting - Own and execute reporting for core SaaS sales KPIs including quota attainment, win/loss rates, average deal size, sales cycle length, pipeline coverage, forecast accuracy, and rep productivity. Partner with Sales Leadership and Revenue Operations to troubleshoot data discrepancies and evolve reporting as business needs shift.
  • Business Intelligence & Dashboarding - Perform ad-hoc analyses to support Sales Leadership and Revenue Operations teams. Translate complex data into clear, compelling visual stories that drive decision-making. Design, develop, and maintain sales performance dashboards in DOMO, applying strong dashboarding principles (clear hierarchy, actionable metrics, appropriate drill-downs, minimal noise).
  • Pipeline & Forecast Analytics - Serve as the go-to analyst for pipeline and forecast reporting - tracking stage-over-stage progression, identifying deal slippage and bottlenecks, and surfacing insights that help sales leadership optimize resource allocation and coaching efforts. Develop and maintain KPI definitions and measurement frameworks aligned to SaaS best practices.
  • Workflow Automation & Data Operations - Build and maintain automated data feeds, alerts, and notification workflows within DOMO. Streamline recurring reporting processes to reduce manual effort and improve data freshness. Support DOMO administration, staying current with platform releases and capabilities.

Qualifications:
  • Independent Analytics & Reporting - You must be a driven self-starter who is eager to do independent analysis and confident in reporting back to executive leadership with your findings. You will be expected to be doing analysis on your own, without prompt, and find opportunities to improve the revenue cycle on a regular basis
  • Executive Communication - You should be able to concisely report back to executive leadership your own conclusions and findings from the analysis that you perform. You should understand how to present your findings with appropriate backup, without just drowning your stakeholder in charts and tables.
  • SaaS Sales Metrics - Solid working knowledge of key SaaS sales KPIs: quota attainment, win rate, pipeline coverage ratios, average sales cycle, deal velocity, ARR/MRR, churn, and forecast accuracy. You should be able to speak fluently about what these mean and why they matter.

Nice To Have
  • DOMO - Strong hands-on experience with DOMO is preferred. You should be comfortable building dashboards in some BI tooling, if it's Domo that's even better.
  • Salesforce - Working knowledge of Salesforce data structures is a major plus for integration and pipeline reporting, but not required.
  • SQL - Basic familiarity with SQL concepts is a plus. This role won't require query writing initially, but a foundational understanding will serve you well as you grow into more advanced analytics over time.

Compensation Information: $80,000 - $100,000
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual's location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine's total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
This role is designed for someone who wants to grow with the company. You'll start by owning sales analytics and progressively expand into broader business intelligence as you learn the nuances of our data, our customers, and our operations. We're looking for curiosity and ambition - not just someone who can build a dashboard, but someone who asks why the numbers look that way.
Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine's equal employment opportunities, you may contact us at [email protected]
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what's outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.