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Full Time Data Analytics Jobs in Utah (NOW HIRING)

Data Analyst

Lehi, UT ยท On-site +1

Five or more years of professional experience in data analytics, analytics engineering, business ... Position Type and Expected Hours of Work This is a full-time position. Days and hours of work are ...

Data Analyst

Lehi, UT ยท On-site

... analytics or a related quantitative role. * A combination of education and experience may meet this ... Applicants must be currently authorized to work in the United States on a full-time basis. Note:

New

Data Analyst

Lehi, UT ยท On-site

... analytics or a related quantitative role. * A combination of education and experience may meet this ... Applicants must be currently authorized to work in the United States on a full-time basis. Note:

New

Data Analyst

Lehi, UT ยท On-site

... analytics or a related quantitative role. * A combination of education and experience may meet this ... Applicants must be currently authorized to work in the United States on a full-time basis. Note:

New

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP ... Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced ...

Data Scientists

Salt Lake City, UT ยท On-site

$75K - $105K/yr

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP ... Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced ...

Data Engineer

Lehi, UT ยท On-site

$107K - $129K/yr

This is a full-time role and will work a hybrid schedule in Lehi, Utah. Essential Duties and ... Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science ...

Data Engineer

Lehi, UT ยท On-site

$107K - $129K/yr

This is a full-time role and will work a hybrid schedule in Lehi, Utah. Essential Duties and ... Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science ...

Data Engineer

Lehi, UT ยท On-site

$107K - $129K/yr

This is a full-time role and will work a hybrid schedule in Lehi, Utah. Essential Duties and ... Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science ...

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Showing results 1-20

Full Time Data Analytics information

Is full time data analytics still a good career?

Full-time data analytics is a strong career choice due to increasing demand for data-driven decision making across industries. Skills in programming, statistical analysis, and tools like SQL and Python are highly valued, and job growth is expected to continue as organizations prioritize data insights.

What are the key skills and qualifications needed to thrive as a full time data analytics professional?

To excel in a Full Time Data Analytics role, strong analytical skills, proficiency in mathematics and statistics, and a relevant degree such as in computer science, statistics, or data science are essential. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, as well as knowledge of database management systems, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies are crucial for transforming complex data into actionable insights that drive business decisions and strategic growth.

What is the difference between Full Time Data Analytics vs Data Analyst?

AspectFull Time Data AnalyticsData Analyst
CredentialsBachelor's degree in Data Science, Analytics, or related field; certifications like CAP, Microsoft Certified Data AnalystBachelor's degree often required; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentFull-time employment in corporate, tech, finance, or healthcare sectorsTypically similar; employed full-time in various industries
Employer & Industry UsageUsed by companies seeking ongoing data analysis supportCommonly used by organizations needing data insights and reporting

Full Time Data Analytics and Data Analyst roles often overlap in credentials, work environment, and industry usage. The main difference lies in scope: Full Time Data Analytics may imply a broader or more strategic role, while Data Analyst is more specific to data reporting and analysis tasks.

What is a full time data analytics job?

Full Time Data Analytics jobs involve working with data to help organizations make informed business decisions. Professionals in these roles collect, process, and interpret large datasets to identify trends, patterns, and opportunities. They use statistical tools, programming languages, and visualization techniques to turn raw data into actionable insights. These positions typically require strong analytical skills and proficiency in software such as Excel, SQL, Python, or R. Full-time roles generally offer regular working hours and employee benefits.

What are some common challenges faced by professionals in full time data analytics roles, and how can they be addressed?

One common challenge in full-time data analytics roles is managing large and complex datasets that may contain inconsistencies or missing values. Analysts often need to spend significant time on data cleaning and preprocessing before meaningful analysis can occur. Additionally, communicating technical findings to non-technical stakeholders can be challenging, requiring strong data visualization and storytelling skills. Collaborating closely with business teams and continuously refining communication methods can help address these challenges and increase the impact of analytics work.
What are the most commonly searched types of Data Analytics jobs in Utah? The most popular types of Data Analytics jobs in Utah are:
What cities in Utah are hiring for Full Time Data Analytics jobs? Cities in Utah with the most Full Time Data Analytics job openings:

Data Analyst

The Good and the Beautiful

Lehi, UT โ€ข On-site, Remote

Full-time

Posted 6 days ago


Job description

Position Summary

The Data Analyst collects, integrates, manages, and analyzes complex data to support strategic decisions. This position transforms data from multiple business systems into reliable reporting, actionable insights, and forecasts that help leadership understand business performance and identify opportunities for growth and improvement.


Job Objectives

  1. Build predictive models to drive strategic growth.
  2. Design and manage performance monitoring systems.
  3. Deliver data-driven insights to address business challenges/opportunities.


Essential Job Duties

  • Partner with executives and department leaders to identify business questions, analytical needs, performance indicators, and opportunities for improvement.
  • Develop sales, revenue, demand, customer-acquisition, and marketing-performance forecasts.
  • Collect, integrate, and reconcile data from sales, marketing, website, customer, product, financial, and operational systems.
  • Develop and maintain automated dashboards, reports, scorecards, and executive-level performance summaries.
  • Use appropriate technologies to extract, clean, transform, validate, and analyze large and complex datasets.
  • Analyze marketing performance, including customer acquisition costs, conversion rates, channel profitability, return on advertising spend, and campaign effectiveness.
  • Analyze sales and customer behavior, including purchasing patterns, retention, repeat purchases, product affinity, customer segmentation, and lifetime value.
  • Build tools that help leadership evaluate potential changes in pricing, advertising investment, customer acquisition, conversion, and retention.
  • Investigate discrepancies between reporting systems and recommend solutions to improve data accuracy and consistency.
  • Work with technical teams and third-party vendors to implement new data sources, integrations, and reporting capabilities.
  • Present complex analyses through clear reports, visualizations, presentations, and recommendations for nontechnical audiences.
  • Train stakeholders to interpret dashboards, reports, KPIs, and analytical findings accurately.
  • Prioritize analytical projects according to potential business impact, urgency, data availability, and required resources.
  • Establish and follow standards for data governance, access, security, privacy, retention, and responsible data use.
  • Assist in standardizing definitions and reliable sources of truth for revenue, orders, customers, products, marketing performance, and other key business metrics.


Skills and Qualifications

  • Five or more years of professional experience in data analytics, analytics engineering, business intelligence, or a related discipline.
  • Preferred Bachelor's degree in computer science, statistics, mathematics, economics, information systems, business analytics, or a related field.
  • Experience designing and maintaining relational databases, data models, or cloud-based data warehouses.
  • Experience building or maintaining automated ETL/ELT pipelines that move and transform data between business systems.
  • Advanced data-cleaning, reconciliation, scrubbing, and manipulation skills.
  • Experience with at least one business-intelligence or data-visualization platform, such as Power BI, Tableau, Looker, or a comparable tool.
  • Experience developing dashboards, reports, forecasts, or analytical models that influenced business decisions.
  • Ability to translate ambiguous business questions into well-defined analytical projects and measurable outcomes.
  • Ability to recognize data-quality issues and determine whether available data can support a valid conclusion.
  • Preferred experience working with e-commerce, direct-to-consumer, education, publishing, subscription, or digital-product businesses.


Core Competencies

  • Forecasting and advanced data analysis
  • Marketing and sales analytics
  • Business intelligence and data visualization
  • Data quality, governance, and documentation
  • Strategic and critical thinking
  • Independent problem-solving and accountability


Supervisory Responsibility

This position has no direct reports but collaborates with team leads in the Marketing, Customer Experience, and Operations departments.


Work Environment & Physical Demands

This position works in a home office setting. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

While performing the duties of this job, the employee is regularly required to use hands to finger, handle or feel; reach with hands and arms; and talk or hear. The employee frequently is required to stand, sit and walk. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.


Position Type and Expected Hours of Work

This is a full-time position. Days and hours of work are between Monday through

Friday. Expected hours: 37-40 per week, flexible schedule between stated hours.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.


We are excited to be part of a growing company. This growth provides opportunities to all of our employees and in turn our mission, and expansion provides opportunities to our client base. It is important to note that this positioncan onlybe offered to individuals residing in the following states: AZ, FL, GA, ID, KY, MI, MN, MS, OH, OK, PA, SC, TN, TX, UT, VA.


Please note: We participate in E-Verify; this program verifies workers are authorized to work in the United States.