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Intern Data Analytics Teaching Jobs in Spring, TX

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Intern Data Analytics Teaching information

See Spring, TX salary details

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How much do intern data analytics teaching jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for intern data analytics teaching in Spring, TX is $15.16, according to ZipRecruiter salary data. Most workers in this role earn between $12.84 and $17.12 per hour, depending on experience, location, and employer.

What does an intern data analytics teaching do?

An Intern in Data Analytics Teaching assists instructors in delivering lessons related to data analysis, statistics, and data visualization. Their responsibilities often include preparing teaching materials, helping students with assignments, and supporting classroom activities. They may also assist in grading, conducting tutorials, and providing feedback to students. This role offers a valuable opportunity to gain experience in both data analytics and educational settings.

What are the key skills and qualifications needed to thrive as an intern data analytics teaching?

To thrive as an Intern in Data Analytics Teaching, you need a solid understanding of statistics, data analysis, and foundational knowledge in tools like Excel, Python, or R, ideally supported by coursework or related academic experience. Familiarity with data visualization software such as Tableau or Power BI and basic knowledge of learning management systems (LMS) are commonly expected. Strong communication, organizational skills, and a collaborative attitude help in effectively conveying complex concepts and supporting both instructors and students. These skills and qualities are crucial for facilitating learning, ensuring classroom engagement, and effectively supporting the educational process.

What types of projects or tasks can an intern data analytics teaching expect to work on during their internship?

As an Intern in Data Analytics Teaching, you can expect to assist with preparing instructional materials, developing data sets for classroom exercises, and supporting students during lab sessions. You may also help grade assignments, analyze student performance data, and contribute to curriculum development by researching the latest analytics tools or trends. Collaboration with mentors, faculty, and other interns is common, providing valuable teamwork experience and exposure to best practices in both teaching and data analytics.

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

AspectIntern Data Analytics TeachingIntern Data Analyst
Required CredentialsBasic knowledge of data analytics, teaching skillsBasic data analysis skills, possibly coursework in analytics
Work EnvironmentEducational settings, classrooms, online tutorialsBusiness or research environments, data teams
Employer & Industry UsageEducational institutions, training programsCompanies, research organizations, startups
Search & Comparison IntentUnderstanding teaching roles in data analyticsUnderstanding entry-level data analysis roles

Intern Data Analytics Teaching focuses on instructing students or trainees in data analytics concepts, often within educational or training settings. In contrast, Intern Data Analyst involves hands-on data analysis tasks within organizations. Both roles require foundational analytics knowledge, but their environments and objectives differ significantly.

What cities near Spring, TX are hiring for Intern Data Analytics Teaching jobs?

Cities near Spring, TX with the most Intern Data Analytics Teaching job openings:

Engineering: Data Visualization & Analytics Intern

Houston, TX โ€ข On-site

Foxconn Industrial Internet
501 - 1,000 employees

$16 - $20.75/hr

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Foxconn Industrial Internet is seeking a motivated and technically strong Engineering Data Visualization & Analytics Intern to join our Engineering and Operations team in Houston, TX for the Fall 2026 Internship Program. This is a part-time, 20-hour-per-week role running 13 weeks (August 31 – November 27, 2026). 

The intern will work closely with engineering, operations, and IT teams to develop and enhance Tableau dashboards that deliver real-time visibility into key manufacturing and operational metrics. The focus of this role is on transforming raw data into actionable insights — improving reporting consistency, standardizing KPI methodologies, and enabling data-driven decision-making across the organization. 

DUTIES AND RESPONSIBILITIES 

  • Design, develop, and maintain Tableau dashboards that support engineering, manufacturing, and operations teams with real-time visibility into key metrics. 

  • Analyze business and operational requirements to translate stakeholder needs into effective data visualizations and reporting solutions. 

  • Support the standardization of key performance metrics and reporting methodologies across engineering and operations functions. 

  • Collaborate with engineering, operations, and IT stakeholders to identify reporting gaps, dashboard enhancement opportunities, and new data requirements. 

  • Validate data accuracy and ensure consistency across all reports and dashboards before deployment. 

  • Assist with data extraction, transformation, and preparation from various sources to support reporting and visualization needs. 

  • Create and maintain documentation covering dashboard development standards, data sources, and reporting processes to ensure continuity and knowledge transfer. 

  • Present dashboard updates, findings, and project recommendations to engineering and operations stakeholders. 

REQUIRED SKILLS & TECHNICAL PROFICIENCIES 

  • Experience with Tableau, Power BI, or similar data visualization tools strongly preferred. Tableau will be the primary platform used in this role. 

  • Familiarity with SQL and data querying techniques for extracting and preparing data from relational databases. 

  • Proficiency in Microsoft Excel for data analysis, validation, and reporting support. 

  • Understanding of dashboard design principles and data visualization best practices. 

  • Experience working with large datasets and operational or performance metrics. 

  • Knowledge of Power BI, Python, or other analytics and automation tools is a plus. 

  • Familiarity with manufacturing, engineering, or operational reporting environments is a plus. 

  • Strong analytical and problem-solving skills with the ability to interpret complex data and present it clearly. 

  • Strong written and verbal communication skills for stakeholder collaboration and presentation delivery. 

QUALIFICATIONS 

  • Currently enrolled in a Bachelor's or Master’s degree in Data Analytics, Business Analytics, Management Information Systems, Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Electrical Engineering or a related field. 

  • Detail-oriented and methodical, with a strong commitment to data accuracy and documentation quality. 

  • Self-motivated and proactive, with the ability to manage assigned workstreams independently while collaborating closely with the engineering and operations teams. 

  • Comfortable working in a dynamic manufacturing environment where priorities can shift and adaptability is key. 

  • Curious about process improvement, digitalization, and how data can drive better manufacturing outcomes. 

  • Able to translate technical findings into clear, actionable summaries for both technical and non-technical audiences. 

  • Minimum GPA of 3.0 or higher preferred. 

WORK SCHEDULE & COMPENSATION 

  • Part-time: 20 hours per week. 

  • Flexible scheduling available to accommodate academic commitments. 

  • Compensation commensurate with experience and qualifications. 
    Foxconn Assembly, LLC is an Equal Opportunity Employer (EOE).  All qualified candidates will receive consideration without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, or marital status in accordance with applicable federal, state and local laws.
    Foxconn Assembly, LLC participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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