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Data Analyst Jobs in Sandy, UT (NOW HIRING)

Lucid Software

Sr. Data Analyst

Salt Lake City, UT · On-site +1

$83K - $105K/yr

As an Analyst on Lucid's Strategy & Analytics team, you will be expected to be fluent in all aspects of strategic problem solving - from identifying opportunities to analyzing data, presenting ...

Lucid Software

Sr. Data Analyst

Salt Lake City, UT · On-site

$83K - $105K/yr

As an Analyst on Lucid's Strategy & Analytics team, you will be expected to be fluent in all aspects of strategic problem solving - from identifying opportunities to analyzing data, presenting ...

Overstock

Data Analyst - IC 2

Salt Lake City, UT · On-site

Pricing Data Analysts are expected to take on special long-term projects aimed at solving key business problems, investigating new opportunities, redesigning existing processes, and enhancing ...

Filevine

Sales Performance Data Analyst

Salt Lake City, UT · Remote

$80K - $100K/yr

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 ...

Filevine

Sales Performance Data Analyst

Salt Lake City, UT · On-site

$80K - $100K/yr

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 ...

Wand

Product Data Analyst

Salt Lake City, UT · Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and the decision that follows. What you'll own The metrics that run the business. You'll own the ...

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Showing results 21-40

All JobsData Analyst JobsData Analyst Jobs in Sandy, UT

Data Analyst information

See Sandy, UT salary details

$32.3K

$78.5K

$129.2K

How much do data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analyst in Sandy, UT is $78,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Sandy, UT? The most popular types of Data Analyst jobs in Sandy, UT are:
What job categories do people searching Data Analyst jobs in Sandy, UT look for? The top searched job categories for Data Analyst jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Data Analyst jobs? Cities near Sandy, UT with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Sandy, UT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $78,530 per year, or $37.8 per hour.

Sr. Data Analyst

Lucid Software

Salt Lake City, UT • On-site, Remote

$83K - $105K/yr

Full-time

Posted 21 days ago

Job description

Lucid Software is the leader in visual collaboration, helping teams see and build the future from idea to reality. Our products, business, and workplace culture have received numerous awards, such as being named to the Forbes Cloud 100 and a Fortune Best Workplace in Technology. Lucid is a hybrid workplace, allowing employees to work remotely, from one of our offices, or a combination of the two depending on the needs of the role and team. At Lucid, we hold true to our core values of teamwork over ego, innovation in everything we do, individual empowerment, initiative, and ownership, and passion and excellence in every area. We value diversity and are dedicated to creating an environment that is respectful and inclusive for everyone.

In today's tech environment, strategic thinking must be paired with strong analytical skills. As an Analyst on Lucid's Strategy & 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 designed for candidates who have already honed their technical skills working with data and are ready to take their careers to the next level.

Analysts on the Strategy & Analytics team support groups across the whole business, allowing you to see multiple sides of the business and expand your knowledge and experience. These groups include Marketing, Demand Generation, Sales Operations, Customer Experience, Product, and Strategy. The tool sets developed and used are similar across these functions, but each presents domain-specific challenges that will provide unique opportunities for learning.

Some examples of past projects from our team include creating a customer health score to highlight at-risk accounts, identifying opportunities to accelerate product adoption at enterprise companies, creating tools to automate the analysis of A/B tests, finding ways to increase collaboration and virality of our product, and building dashboards to help sales reps target high-potential accounts.

Although your day-to-day work will be with the function to which you are assigned, you will be well-supported by the rest of the Strategy & Analytics team. While we are distributed throughout the company, we maintain close ties by holding weekly team trainings, daily working sessions, and regular team activities. We help each other whenever possible, and with the collective efforts of the full team, there's rarely a question we can't answer.

Responsibilities:

  • Work with senior leaders and other stakeholders within various departments at Lucid
  • Identify and understand problems and opportunities
  • Come up with data-driven recommendations
  • Implement new initiatives that help grow the business
  • Other duties as assigned

Requirements:

  • Completed Bachelor's and/or Master's degree, ideally in a technical or quantitative field
  • 4+ years professional experience 
  • Proficient with SQL
  • Strong understanding of statistics and hypothesis testing
  • Great communication skills, both written and verbal
  • Able to think strategically and tackle open-ended problems
  • Detail-oriented, organized, and a good team player

Preferred Qualifications:

  • Passion for problem-solving - If you've ever been so absorbed in a problem that your mind couldn't rest until you figured it out, you'll be in good company.
  • Willing to help and be helped - Our impact comes only through helping others make better decisions using data. We recognize that we're stronger together - there's no shame in asking for help, we're not afraid to say "I don't know", and we actively seek feedback.
  • Desire to learn - You'll often be answering questions that have never been answered before, which requires a high level of intellectual curiosity and an eagerness to dive into new problems, domains, tools, and techniques.

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