ZipRecruiter

Log In

1

Data Analytics Jobs in Layton, UT (NOW HIRING)

Lucid Software

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 ...

Overstock

Data Analyst - IC 2

Salt Lake City, UT

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 ...

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 ...

KIHOMAC

Data Management Analyst

Layton, UT · On-site

Analyze contract requirements, Statements of Work (SOW), Contract Line Item Numbers (CLINs), Data Item Descriptions (DIDs), and CDRLs to establish data deliverable requirements and schedules

KIHOMAC

Data Management Analyst

Layton, UT · On-site

Analyze contract requirements, Statements of Work (SOW), Contract Line Item Numbers (CLINs), Data Item Descriptions (DIDs), and CDRLs to establish data deliverable requirements and schedules

KIHOMAC

Data Management Analyst

Layton, UT · On-site

Analyze contract requirements, Statements of Work (SOW), Contract Line Item Numbers (CLINs), Data Item Descriptions (DIDs), and CDRLs to establish data deliverable requirements and schedules

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.

previous page

Showing results 41-60

All JobsData Analytics JobsData Analytics Jobs in Layton, UT

Data Analytics information

See Layton, UT salary details

$22

$49

$85

How much do data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics in Layton, UT is $49.74, according to ZipRecruiter salary data. Most workers in this role earn between $39.95 and $56.35 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 are the most commonly searched types of Data Analytics jobs in Layton, UT? The most popular types of Data Analytics jobs in Layton, UT are:
What job categories do people searching Data Analytics jobs in Layton, UT look for? The top searched job categories for Data Analytics jobs in Layton, UT are:
What cities near Layton, UT are hiring for Data Analytics jobs? Cities near Layton, UT with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Layton, 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 $103,461 per year, or $49.7 per hour.

Sr. Data Analyst

Lucid Software

Salt Lake City, UT • On-site

$83K - $105K/yr

Full-time

Posted 19 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.

#LI-DA1

Apply