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Data Analytics Jobs in Layton, UT (NOW HIRING)

Packsize International LLC

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

You will play a key role in advancing our data analytics capabilities, ensuring data is reliable, accessible, and aligned with business objectives. What You'll do: * Design, develop, and maintain ...

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

You will play a key role in advancing our data analytics capabilities, ensuring data is reliable, accessible, and aligned with business objectives. What You'll do: * Design, develop, and maintain ...

Pwc

Data Strategy-Manager

Salt Lake City, UT

$99K - $232K/yr

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 ...

Pwc

Data Governance- Manager

Salt Lake City, UT

$99K - $232K/yr

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 ...

Collabera

Data Analyst

Salt Lake City, UT · Hybrid

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 ...

Harris Company

Facility Data Analyst

Salt Lake City, UT · On-site +1

$56K - $85K/yr

As a Facility Data Analyst , you will work to support the development and deployment of cutting-edge fault detection and diagnostic services and will have a continual impact on a wide portfolio of ...

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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 Jul 16, 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.

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 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.
Data Engineer

Data Engineer

Packsize International LLC

Salt Lake City, UT • On-site

$110K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Job Description:
Job Description:
About Packsize,
Packsize is redefining the way businesses and their customers use and experience packaging around the world. We build the technology, design the right solutions, and automate the processes that propel the industry forward. To us, packaging is much more than a box-it's delivering what's right for our customers, their customers, our people, and the planet.
Job Title: Data Engineer
About the Role:
We are seeking a Data Engineer to design, build, and optimize data pipelines and architectures that empower data-driven decision-making and business growth. In this hands-on technical role, you will collaborate with cross-functional teams to gather requirements, architect scalable data solutions, and implement best-in-class data engineering practices. You will play a key role in advancing our data analytics capabilities, ensuring data is reliable, accessible, and aligned with business objectives.
What You'll do:
  • Design, develop, and maintain scalable data pipelines and architectures to support modern data analytics and integration needs.
  • Build and optimize data models, including advanced dimensional modeling and semantic layer design, to enable efficient querying and reporting.
  • Implement robust ETL/ELT processes using intermediate Python and advanced SQL to ensure high-quality data delivery.
  • Collaborate with business units, analysts, and stakeholders to gather requirements and translate them into technical solutions that drive measurable business value.
  • Ensure best-in-class implementation of data engineering solutions, focusing on performance, scalability, and maintainability.
  • Contribute to the development and maintenance of data warehouses, data lakes, and integration pipelines.
  • Proactively identify and resolve data quality issues, ensuring data integrity and consistency across systems.
  • Work closely with data analysts and other engineers to support data-driven initiatives and deliver actionable insights.
  • Stay current with industry trends and emerging tools to continuously improve data engineering practices.
  • Document technical designs, processes, and solutions to support team collaboration and knowledge sharing.

What You'll Bring:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience in data engineering or related technical roles.
  • 7+ years of experience in data engineering and analytics or data integration.
  • Expertise in modern data analytics, including building and optimizing data pipelines for near-real-time and batch processing.
  • Proven skills in data architecture, with a focus on designing scalable and efficient data systems.
  • Advanced proficiency in SQL for complex querying, optimization, and data transformation.
  • Intermediate proficiency in Python for scripting, automation, and ETL development.
  • Advanced dimensional modeling skills, with experience designing star schemas and semantic layers for analytics.
  • Expertise in building metadata driven pipelines, integrations, and methods for improving maintainability and reducing technical debt.
  • Experience in semantic layer design to support business intelligence tools and self-service analytics.
  • Strong collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
  • Ability to gather requirements and translate them into technical solutions that align with business goals.
  • Self-driven and motivated, with a track record of delivering high-impact results and moving the needle for business value.
  • Experience with modern data platforms (e.g., DOMO, Databricks, Snowflake, Fabric) and tools.
  • Knowledge of data governance, data quality, and data integration best practices is a plus.
  • Professional certifications (e.g., Azure Data Engineer, AWS Certified Data Engineer, Google Cloud Professional Data Engineer) are a plus.

Working Environment and Physical Demands:
  • Hybrid or onsite work environment preferred, with remote consideration based on candidate qualifications and company policy.
  • Occasional travel may be required for meetings and conferences.

What We Offer
Packsize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience, education/training, and any special skills.
If this role excites you but you don't meet each requirement listed, we encourage you to apply anyway. At Packsize, we welcome applicants of all backgrounds and experiences and understand that the best candidates may come from the most unlikely of places.
Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran's status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities
Packsize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience, education/training, and any special skills. At Packsize, we're committed to supporting the health, well-being, and financial security of our team members. We offer a comprehensive benefits package that includes medical, dental, and vision coverage; a 401(k) retirement plan; Paid Time Off; Health Savings and Flexible Spending Accounts (HSA/FSA); and life and disability insurance. Additional voluntary benefits include critical illness, hospital indemnity, accident, and legal/ID theft protection. We also provide access to an Employee Assistance Program (EAP) to support your overall well-being.
Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran's status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities.

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