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Educational Data Analyst Jobs in Utah (NOW HIRING)

Data Analyst

Lehi, UT ยท On-site +1

Preferred experience working with e-commerce, direct-to-consumer, education, publishing, subscription, or digital-product businesses. Core Competencies * Forecasting and advanced data analysis

I have an opportunity for "Data Analyst" and looking for a candidate who can join Immediately if ... Financial or Education Domains - Ed-Fi, CEDS, SIF, GAAP, etc. Best Regards Syed Imran Sr Technical ...

Safety Data Analyst

Salt Lake City, UT ยท On-site

$37K - $52K/yr

Qualified through education, training, experience, and expertise to perform data analysis functions. * Formal education in data analytics, statistics, quantitative methods, data collection, data ...

Safety Data Analyst

Saint George, UT ยท On-site

$37K - $52K/yr

Qualified through education, training, experience, and expertise to perform data analysis functions. * Formal education in data analytics, statistics, quantitative methods, data collection, data ...

Pricing Data Analysts are expected to take on special long-term projects aimed at solving key ... Education Bachelor's degree (or U.S. equivalent in Economics, Statistics, Business, Information ...

This role will report directly to the Director of Data Analytics, but will primarily focus on the ... education, work experience, skills and performance. We believe in the importance of pay equity ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... awards, educational assistance and child/adult backup care. * Relocation Eligible Learn More ...

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Showing results 1-20

Educational Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do educational data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for educational data analyst in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What does a typical day look like for an educational data analyst?

A typical day for an Educational Data Analyst often involves gathering, cleaning, and analyzing data from various educational platforms to uncover trends and identify areas for improvement. Analysts may collaborate closely with educators, administrators, and IT staff to interpret results, develop reports, and present findings in clear, actionable terms. The role also includes designing and maintaining dashboards, ensuring data accuracy, and supporting program evaluations across departments. Because the position often requires juggling multiple projects, organizational skills and the ability to communicate complex data insights to non-technical audiences are especially important.

What does an educational data analyst do?

An Educational Data Analyst collects, processes, and interprets data to support decision-making in educational institutions. They analyze student performance, enrollment trends, and institutional effectiveness to improve learning outcomes. Using statistical tools and software, they identify patterns, generate reports, and provide insights to educators and administrators. Their role helps optimize resource allocation, curriculum planning, and policy development.

How to become an educational data analyst?

To become an educational data analyst, typically a bachelor's degree in education, statistics, data science, or a related field is required. Developing skills in data analysis tools such as Excel, SQL, and statistical software, along with understanding educational systems and data privacy, is essential. Gaining experience through internships or entry-level positions can also help build relevant expertise.

What are the key skills and qualifications needed to thrive as an educational data analyst?

To thrive as an Educational Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid understanding of education systems, usually supported by a degree in statistics, data science, education, or a related field. Familiarity with tools such as SQL, Python or R, data visualization software like Tableau or Power BI, and experience with learning management systems are typically required. Excellent communication, critical thinking, and collaborative abilities set top performers apart in this position. These competencies are crucial for extracting actionable insights from complex educational data, enabling effective decision-making and improved student outcomes.

What are the most commonly searched types of Educational Data Analyst jobs in Utah? The most popular types of Educational Data Analyst jobs in Utah are:
What job categories do people searching Educational Data Analyst jobs in Utah look for? The top searched job categories for Educational Data Analyst jobs in Utah are:
What cities in Utah are hiring for Educational Data Analyst jobs? Cities in Utah with the most Educational Data Analyst job openings:
Infographic showing various Educational Data Analyst job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Data Analyst

The Good and the Beautiful

Lehi, UT โ€ข On-site, Remote

Full-time

Posted 4 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.