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Data Engineer Data Analyst Jobs in Utah (NOW HIRING)

Data Analyst

Lehi, UT · On-site +1

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 ...

HOW YOU CAN MAKE AN IMPACT The Data Analyst is responsible for collecting, analyzing, and ... programming languages is preferred YOUR BENEFITS YOUR CONTACT PERSON Jennifer Hood Talent ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision ... programming skills. - Basic SQL capabilities: joining tables, using 'group by' clauses, case ...

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Bachelor's degree in Business, Statistics, Computer Science, Information Technology, Engineering ...

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Bachelor's degree in Business, Statistics, Computer Science, Information Technology, Engineering ...

New

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Bachelor's degree in Business, Statistics, Computer Science, Information Technology, Engineering ...

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

... analysts, and other stakeholders to understand data requirements and ensure data quality • ... data engineering and data science, and identify opportunities to leverage them within the ...

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside ... Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

Crumbl HQ is seeking a skilled and motivated data engineer to join our growing team. The successful ... Collaborate with data scientists, analysts, and other stakeholders to understand data requirements ...

Data Engineer

Provo, UT

$108K - $130K/yr

Crumbl HQ is seeking a skilled and motivated data engineer to join our growing team. The successful ... Collaborate with data scientists, analysts, and other stakeholders to understand data requirements ...

Showing results 21-40

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What cities in Utah are hiring for Data Engineer Data Analyst jobs? Cities in Utah with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Utah as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 76% In-person, 9% Hybrid, and 15% Remote job distribution.

Full-time

Posted 8 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.