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Data Analytics Jobs in Ogden, UT (NOW HIRING)

Stio

Data Analyst

Salt Lake City, UT · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

Stio

Data Analyst

Salt Lake City, UT · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

AVA Consulting

Data Analyst

Salt Lake City, UT · On-site

AVA Consulting is seeking a Data Analyst Location: Salt Lake City, UT (Hybrid) U.S. Citizens and ... Analytics across various domains is undergoing a fundamental shift, and we are looking for a highly ...

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.

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.

Omnicom

Data Analyst

Salt Lake City, UT · On-site

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision Marketing activation practice. This practice integrates CRM platform expertise, journey management ...

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All JobsData Analytics JobsData Analytics Jobs in Ogden, UT

Data Analytics information

See Ogden, UT salary details

$23

$53

$92

How much do data analytics jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data analytics in Ogden, UT is $53.57, according to ZipRecruiter salary data. Most workers in this role earn between $43.03 and $60.67 per hour, depending on experience, location, and employer.

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.

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 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 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.

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.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

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, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Ogden, UT?

The most popular types of Data Analytics jobs in Ogden, UT are:

What job categories do people searching Data Analytics jobs in Ogden, UT look for?

The top searched job categories for Data Analytics jobs in Ogden, UT are:

What cities near Ogden, UT are hiring for Data Analytics jobs?

Cities near Ogden, UT with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Ogden, UT as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,434 per year, or $53.6 per hour.

Purchasing Data Analytics Intern

The Church of Jesus Christ of Latter-day Saints

Salt Lake City, UT

Part-time

Posted 8 days ago

Church of Jesus Christ of Latter-day Saints rating

8.6

Company rating: 8.6 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

3rd of 18 rated religious organizations

Job description

Location: Church Office Building in Salt Lake City 

Department: Materials Management 

Internship Type: Part-time, Paid 

Duration: 12 months 

Report To: Purchasing Systems Supervisor 

Job Description 

Support the purchasing systems team by assisting in the development of Power BI reports and dashboards, Power Apps and their associated reports, performing data validation, and contributing to meaningful insights that influence decision-making. This internship offers hands-on experience with real-world data and reporting tools in a mission-driven organization. 

Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord's work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings- giving Church members places to worship, teach, learn, and receive sacred ordinances-our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.
Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.
Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.

Education / Work Experience 

Recent graduate or currently pursuing a BS/BA degree in business analytics, data science, information systems or related field. Familiar with supply chain management. 

Demonstrated Skills and Abilities 

  • Power BI and Power Query 

  • Microsoft Excel, including formulas and basic VBA 

  • Power Apps and Power Automate (optional) 

  • Understand and communicate data story 

  • Work with minimal oversight while balancing multiple tasks and deadlines 

  • Provide innovative solutions to meet customer needs 

  • Interest in learning how data supports strategic decisions in a faith-based organization 

The Purchasing Data Analytics Intern will work with data from multiple systems to support the integration of structured and unstructured data for reporting and dashboard development. The following are examples of responsibilities: 

  • Assist in building and maintaining Power BI reports and dashboards based on business requirements. 

  • Support data collection, cleaning, and integration from multiple structured and unstructured sources. 

  • Collaborate with internal stakeholders to understand reporting needs and define output requirements. 

  • Conduct ad hoc analysis to uncover trends, patterns, and actionable insights. 

  • Participate in data quality assessments with data engineers to ensure accuracy, completeness, and reliability. 

  • Document data definitions, sources, and reporting processes for internal use. 

  • Assist in building and maintaining Apps built through Power Apps based on business requirements. 

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