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Learning Analytics Internship Jobs in New Jersey

$18 - $25/hr

The WWT Internship Program is a 10 week summer program designed to give college students an ... Across these teams, you'll build technical skills while learning how individual technologies come ...

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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?

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.

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.

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 cities in New Jersey are hiring for Learning Analytics Internship jobs?

Cities in New Jersey with the most Learning Analytics Internship job openings:

Data Scientist - Intern

Florham Park, NJ โ€ข On-site

Concord Advice
Finance and Insuranceย โ€ขย 51 - 200 employees

Full-time

Re-posted 7 hours ago


Job description

Data Scientist Intern — Concord AdviceSummary

Concord Advice is a dynamic fintech company headquartered in the New Jersey area, specializing in delivering cutting-edge analytical and technical solutions for financial organizations. We design and implement innovative technology solutions, including CRM platforms, underwriting engines, auction-based online lead bidding systems, omni-channel customer engagement strategies, payment technologies, and bank integration services.

Our strategic investments in cloud infrastructure and MLOps pipelines enable us to leverage state-of-the-art language AI — from large-language-model (LLM) agents and retrieval-augmented generation to proven NLP capabilities such as named-entity recognition, intent detection, and sentiment analysis — to create intelligent, real-time, and automated customer experiences.

As a fast-growing, entrepreneurial, and collaborative firm, Concord Advice provides an immersive, hands-on environment where innovation meets business impact. Our team thrives in a dynamic setting that rewards creativity, analytical thinking, and cross-functional collaboration. If you're a problem-solver who enjoys tackling open-ended challenges, join us in shaping the future of fintech!

Job Description

As a Data Scientist Intern at Concord Advice, you will:

  • Collaborate as a member of the analytics team, working alongside senior management and IT to design models, perform data mining, and conduct statistical research.
  • Work closely with open banking data to support loan term optimization, cashflow underwriting, and revenue improvement.
  • Build end-to-end automated machine learning workflows using Azure cloud computing and our MLOps pipeline.
  • Contribute to the development of an LLM-assisted machine learning system that classifies bank transactions, helping improve the accuracy and coverage of our existing labeling framework.
  • Support firm-wide efforts to centralize data definitions and institutional knowledge by helping build retrieval-augmented generation (RAG) workflows, MCP servers, and semantic layers.
  • Take ownership of complex, ambiguous problems in a fast-moving environment, applying a consultative mindset to break challenges down into root causes, develop structured analysis plans, and identify the data needed to drive insights.
Key Qualifications
  • BA/MS in a business-related field with a focus on machine learning.
  • Comfortable working with a range of machine learning and statistical packages in Python, along with databases and reporting tools.
  • Solid grounding in the foundational concepts behind a variety of advanced ML algorithms.
  • Familiarity with the Azure cloud platform and experience using Azure services to support data science, machine learning, analytics, and production-oriented workflows.
  • Outstanding communication skills (both technical and non-technical) and a proven ability to work effectively with multiple stakeholders across a variety of business units.
  • Self-motivated, vocal, and proactive, with demonstrated creative and critical thinking capabilities.
Good to Have
  • Working knowledge of modern AI and analytics engineering patterns, including retrieval-augmented generation (RAG), dbt, and semantic modeling.
  • Hands-on experience with NLP modeling techniques such as text classification and named-entity recognition (NER).
  • Exposure to credit underwriting or risk modeling within a lending business.
Compensation & Benefits
  • Concord Advice offers a competitive compensation package for this role, with an expected salary range of $40,000 – $70,000 USD per year, prorated based on the length of the internship. Final compensation within this range is determined by relevant experience, technical skills, education, and internship duration.

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