ZipRecruiter

Log In

1

Assistant Data Analytics Jobs in Utah (NOW HIRING)

Weave

Data Engineer Intern

Lehi, UT · On-site

Conduct data exploration and preliminary analysis to support the identification of use cases and deep understanding of source systems. * Data Solution Support: Assist in the maintenance ...

Breeze Airways

Safety Risk Analyst

Cottonwood Heights, UT · On-site

$70 - $110/hr

... system. * Assist in the development and implementation of safety processes and procedures. * Responsible for utilizing the safety reporting system for data analytics, identification and tracking ...

Red Cat Holdings, Inc.

Customer Success Analyst II

UT · On-site

... * Assist with system audits, data validation, and process documentation efforts. Required Qualifications * Bachelor's degree in Business, Operations, Analytics, Supply Chain, Finance, or a related ...

previous pagenext page

Showing results 21-40

All JobsData Analytics JobsAssistant Data Analytics JobsAssistant Data Analytics Jobs in Utah

Assistant Data Analytics information

What is an assistant data analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What are the key skills and qualifications needed to thrive as an assistant data analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an assistant data analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.

What is the difference between Assistant Data Analytics vs Data Analyst?

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

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 are popular job titles related to Assistant Data Analytics jobs in Utah?

For Assistant Data Analytics jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Assistant Data Analytics jobs in Utah look for?

The top searched job categories for Assistant Data Analytics jobs in Utah are:

What cities in Utah are hiring for Assistant Data Analytics jobs?

Cities in Utah with the most Assistant Data Analytics job openings:

Assistant Data Analytics jobs near you
Infographic showing various Assistant Data Analytics job openings in Utah as of August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 89% In-person, and 11% Hybrid job distribution.

Data Engineer Intern

Weave

Lehi, UT • On-site

Internship

Posted 12 days ago

Job description

We're looking for a motivated and enthusiastic Data Engineer Intern to join our team. This is an exciting opportunity to gain hands-on experience in corporate finance and analytics, working with cutting-edge tools and contributing to data-driven decision-making within our company.
You'll play a key role in developing and maintaining our analytics platform, with a focus on the thoughtful use of AI to enable agentic analytics. You will work closely with experienced engineers and stakeholders across the business to translate business needs into data requirements and then create data products that inform business strategy.
  • This position will be Located in hour Lehi, Utah Office
  • Reports to: Manager of Data Operations
What You Will Own
  • Data Platform Enhancements: Improve the platform that enables analytics at Weave, including expanding the use of AI in analytics and engineering agents.
  • Data Modeling: Learn and understand existing data models supporting our data and insights initiatives. Assist in the refinement and creation of new data models to enhance analytics capabilities.
  • Data Analysis and Exploration: Conduct data exploration and preliminary analysis to support the identification of use cases and deep understanding of source systems.
  • Data Solution Support: Assist in the maintenance, troubleshooting, and optimization of existing data pipelines and data products to ensure performance and accuracy.
  • Documentation: Contribute to the documentation of data operations processes and data models to ensure clarity and maintainability.
  • Collaboration: Work closely with analysts and business stakeholders to gather requirements and deliver effective data and insights solutions.
What You Will Need to Accomplish the Job
  • Currently enrolled in a Bachelor's or Master's degree program in a quantitative field such as Computer Science, Information Systems, Data Science, Statistics, Economics, or a related discipline.
  • Foundational understanding of business intelligence concepts and data analysis principles.
  • Experience or coursework in database concepts and data modeling basics.
  • Proficiency in SQL for querying and manipulating data.
  • Familiarity with data visualization concepts and tools.
  • Strong analytical and problem-solving skills with a keen attention to detail.
  • Excellent written and verbal communication skills.
  • Ability to work independently on assigned tasks and collaborate effectively within a team environment.
What Will Make Us Love You
  • Exposure to cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
  • Familiarity with version control systems (e.g., Git).
  • Experience with scripting languages like Python for data manipulation or automation.
  • A strong curiosity and eagerness to learn new technologies and business domains.

Employment with Weave is contingent upon the successful completion of a background check, conducted in accordance with applicable laws.
At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a smoother candidate experience. AI may assist with things like writing job descriptions, scheduling interviews, or reviewing applications against job-related criteria. For additional information, please review the External AI Policy Statement available on our Careers page.
Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported. We welcome anyone who is hungry to learn, problem-solve and progress regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other applicable legally protected characteristics. If you have a disability or special need that requires accommodation, please let us know.
Beware of recruitment fraud. All official correspondence will occur through Weave branded email. We will never ask you to share bank account information, cash a check from us, or purchase software or equipment as part of your interview or hiring process.

Apply