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Data Analytics Teaching Assistant Jobs in Utah (NOW HIRING)

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah ... Our team is dedicated to delivering advanced data analytics and insights to empower healthcare ...

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah ... Our team is dedicated to delivering advanced data analytics and insights to empower healthcare ...

Analytics across various domains is undergoing a fundamental shift, and we are looking for a highly ... Develop AI-enabled workflows, assistants, or agents that are grounded in approved data and ...

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Support cross functional stakeholders with scalable reporting architecture * Assist in high-priority analytics platform issues Who you are: * You are an expert in Power BI data modeling and Power BI ...

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Support cross functional stakeholders with scalable reporting architecture * Assist in high-priority analytics platform issues Who you are: * You are an expert in Power BI data modeling and Power BI ...

Solution Mapping and Design * Assist in evaluating and identifying appropriate data, analytics, and AI/ML approaches that align with business requirements. * Contribute to the design of scalable and ...

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision ... in a timely fashion. - Assist in website analytics initiatives, including website tag ...

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Data Analytics Teaching Assistant information

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

AspectData Analytics Teaching AssistantData Analyst
Required CredentialsOften a bachelor's degree in related field; some roles prefer coursework in data analytics or educationBachelor's or higher in data science, statistics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentEducational settings, assisting instructors, supporting studentsCorporate, finance, healthcare, or tech industries analyzing data for business insights
Employer & Industry UsageUniversities, colleges, online education platformsBusinesses, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding teaching roles in data analytics educationAnalyzing data for decision-making in organizations

The main difference is that a Data Analytics Teaching Assistant supports educational activities and helps students learn data concepts, while a Data Analyst focuses on analyzing data to generate insights for organizations. The roles overlap in required skills and certifications but differ significantly in work environment and primary responsibilities.

What are the key skills and qualifications needed to thrive as a data analytics teaching assistant?

To thrive as a Data Analytics Teaching Assistant, you need a strong foundation in data analysis, statistics, and a relevant degree or equivalent experience. Familiarity with tools like Python, R, SQL, Excel, and platforms such as Tableau or Power BI is typically required, along with knowledge of course management systems. Excellent communication, patience, and the ability to explain complex concepts clearly are crucial soft skills. These competencies ensure effective student support, foster learning, and contribute to successful course delivery.

What are the main challenges a data analytics teaching assistant might face when supporting students in a classroom setting?

As a Data Analytics Teaching Assistant, one of the main challenges is addressing the varying levels of technical proficiency among students. You may need to tailor explanations and provide additional resources for those struggling with complex concepts like data visualization or statistical analysis. Balancing your time between answering individual questions, assisting with group projects, and supporting the lead instructor can also be demanding. Developing strong communication and organizational skills is essential for effectively helping students and ensuring a positive learning environment.

What is a data analytics teaching assistant?

Data Analytics Teaching Assistants are professionals who support instructors and students in courses focused on data analytics. They help clarify complex topics such as data cleaning, visualization, and statistical analysis, and often assist with grading assignments, hosting office hours, and providing feedback. Their role is essential in ensuring students understand key concepts and succeed in their studies. Teaching assistants may also guide students in using popular data analytics tools like Excel, Python, or Tableau. Overall, they act as a bridge between the instructor and students, enhancing the learning experience.

What are the most commonly searched types of Data Analytics Teaching jobs in Utah?

The most popular types of Data Analytics Teaching jobs in Utah are:

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

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

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

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

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

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

Part-time

Posted 3 days ago

New


Church of Jesus Christ of Latter-day Saints rating

8.6

Company rating: 8.6 out of 10

Based on 82 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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