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Learning Analytics Internship Jobs in Tennessee (NOW HIRING)

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AI Internship

Brentwood, TN

We are searching for candidates interested in learning more about Data Visualization and are ... Analytics, or a related field. A GPA of 3.5+ is required. Previously completed a minimum of one SQL ...

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Learning Analytics Internship information

What is a Learning Analytics Internship?

A Learning Analytics Internship is a temporary position where students or recent graduates work with educational data to analyze and improve learning outcomes. Interns typically collect, process, and interpret data from educational platforms or classrooms to identify patterns and provide insights for educators or administrators. This role often involves using data analysis tools and working closely with instructional designers or educational researchers. The internship provides hands-on experience in the field of educational data science and helps interns build skills in research, analytics, and educational technology.

What are the key skills and qualifications needed to thrive as a Learning Analytics Intern, and why are they important?

To thrive as a Learning Analytics Intern, you need a solid background in data analysis, statistics, and educational theory, often supported by coursework in data science or education technology. Proficiency with data visualization tools (like Tableau), statistical software (such as R or Python), and familiarity with learning management systems (LMS) is typically required. Strong communication, problem-solving abilities, and attention to detail help you translate data insights into actionable recommendations for educational improvement. These skills are crucial for effectively leveraging data to enhance learning outcomes and support evidence-based decision-making in educational environments.

Is 30 dollars an hour good for an internship?

For a Learning Analytics Internship, earning $30 an hour is considered above average, as many internships pay between minimum wage and $20 per hour. However, pay rates vary based on location, industry, and the intern's skills, and some internships may offer additional benefits or stipends instead of hourly wages.

What is the difference between Learning Analytics Internship vs Data Analyst Internship?

AspectLearning Analytics InternshipData Analyst Internship
Required CredentialsRelevant coursework in education, data analysis, or related fields; basic technical skillsDegree in statistics, mathematics, or related fields; proficiency in data tools
Work EnvironmentEducational institutions, e-learning companies, or edtech startupsVarious industries including finance, healthcare, marketing, and tech
Employer & Industry UsageFocus on improving learning outcomes and educational dataAnalyzing data to support business decisions across sectors

Learning Analytics Internships primarily focus on analyzing educational data to enhance learning experiences, often within educational or edtech organizations. Data Analyst Internships have a broader scope, applying data analysis skills across multiple industries. While both roles require analytical skills and some technical knowledge, Learning Analytics Interns typically work in educational settings, whereas Data Analyst Interns may work in diverse sectors.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for students pursuing careers in accounting, finance, and consulting. For a Learning Analytics Internship, gaining experience in data analysis tools and understanding business processes can be beneficial during these competitive programs.

What types of projects can I expect to work on during a Learning Analytics Internship?

As a Learning Analytics Intern, you can expect to work on projects that involve collecting, analyzing, and interpreting data related to student learning and educational outcomes. Typical tasks may include designing dashboards to visualize learning trends, conducting data cleaning and preparation, and supporting the evaluation of digital learning tools. You may also collaborate with instructional designers, data scientists, and educators to identify actionable insights that can improve teaching strategies or learner engagement. This hands-on experience provides valuable exposure to both educational technology and data analytics, preparing you for future roles in the field.

How to get an internship in data analytics?

To secure a data analytics internship, candidates should develop skills in data analysis tools like Excel, SQL, and Python, and build a portfolio of relevant projects. Gaining familiarity with data visualization software such as Tableau or Power BI and obtaining certifications can improve prospects. Applying through company career portals, networking, and demonstrating analytical problem-solving are key steps.

Is 40 too late for data science?

Learning Analytics internships often seek candidates with strong analytical skills and familiarity with tools like SQL and Python. Age is not a barrier; many professionals transition into data science later in their careers by gaining relevant skills through courses and self-study.
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Learning Analytics Internship jobs near you
AI Internship

AI Internship

Career Search

Brentwood, TN

Temporary

Posted 3 days ago

Job description

We are searching for candidates interested in learning more about Data Visualization and are curious about pursuing a career in BI Consulting. Data Insights interns will work in the Brentwood, TN office under the direct supervision and mentorship of a data professional. Interns will gain hands-on work experience completing BI projects for clients across a diverse set of industries and ranging in size from start-up entities to large corporations. This role offers a unique perspective into BI and Data Visualization and successful interns will be given opportunities to grow specific knowledge on a variety of tools centered mostly around the Microsoft Azure stack:

  • SQL Server
  • SSAS
  • Power BI / Power Platform
  • Data Factory
  • Data assessments
  • Azure DevOps & CI/CD processes

WHAT YOU'LL GET OUT AN INTERNSHIP WITH LBMC

  • The opportunity to join an internship class of close to 100 students that come from a wide range of backgrounds and educational disciplines
  • Mentorship from industry experts and the ability to participate hands-on with client-facing projects
  • Networking opportunities through vibrant company events and participation in curated organizations such as the Women's Initiative Network, Lending Hands community initiative, Young Professionals group, and robust Talent Development trainings/webinars
  • Flexible work schedules (by team), "dress for your day" attire, dynamic technology solutions, and financial incentives for training/certifications (if pursuing a full-time career with us post-internship)
  • A real opportunity to turn your internship into a full-time career post-graduation. We operate under the mantra that "you will get out of your internship what you put into it" and our team leaders actively purse top internship talent to potentially bring on as full-time employees

WHAT WE ASK OF YOU IN RETURN

  • EDUCATION: Candidates should be at least a Senior or pursuing graduate-level work in Management Information Systems, Computer Science, Analytics, or a related field. A GPA of 3.5+ is required. Previously completed a minimum of one SQL class or strong working knowledge of SQL. Previous Power BI / Tableau experience is a strong plus.
  • LEARNING: Be curious and try new things! Actively seeks to learn how LBMC works as a business and adds value to our clients and works to stay up-to-date on the latest industry trends and technical development for areas of specialization.
  • EFFECTIVE WORK: Handles client and technical data responsibly to produce high quality work which adheres to relevant professional standards and client deadlines.
  • TEAMWORK: Communicates effectively with peers and team leaders. Embraces other points of view, continually ask questions to develop knowledge base, and upholds appropriate business conduct.
  • CONFIDENTIALITY: Adherence to LBMC's defined processes and procedures including the firm's policy on privacy and client confidentiality.

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