Data Analytics Intern: Build Pipelines, Dashboards & AI

Avis Budget Group

Parsippany-Troy Hills (NJ)

On-site

USD 40,000 - 57,000

Full time

14 days+
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Benefits offered by this job

Internship program
Professional development
Data analytics exposure

Job summary

Avis Budget Group is offering a 10-week Accelerate internship in Parsippany, NJ. You will explore different areas of the business and gain hands-on experience in data engineering.

You’ll build data pipelines with Python, SQL, and PL/SQL, develop dashboards in Tableau, work with Oracle databases, and apply AI/ML techniques to real-world problems. The role is on-site and pays $35 per hour.

Qualifications

  • Dynamic, self-starter with a strong curiosity for problem-solving.
  • Foundational knowledge of Python, SQL/PLSQL, Tableau, and Oracle (coursework or project experience acceptable).
  • Interest in data engineering, analytics, and applying AI/ML to practical business challenges.
  • Strong communication skills and the ability to collaborate across technical and business teams.

Responsibilities

  • Support data engineering initiatives by building and optimizing data pipelines using Python, SQL, and PL/SQL.
  • Assist in developing and maintaining dashboards in Tableau to track KPIs and deliver insights.
  • Work with Oracle databases to extract, transform, and load data for analysis and reporting.
  • Collaborate with the advanced analytics team to apply AI and ML techniques to real-world problems.
  • Contribute to data quality and governance by testing, validating, and documenting datasets.

Skills

Python
SQL/PLSQL
Tableau
Oracle

Tools

Oracle
Tableau

Job description

Avis Budget Group is offering a 10-week Accelerate internship in Parsippany, NJ. You will explore different areas of the business and gain hands-on experience in data engineering.

You’ll build data pipelines with Python, SQL, and PL/SQL, develop dashboards in Tableau, work with Oracle databases, and apply AI/ML techniques to real-world problems. The role is on-site and pays $35 per hour.

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