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Information Technology 🏢 Internship ⭐️ Verified

Night Shift Data Analyst Intern

InnovateTech Solutions
Indianapolis
Estimated Salary
USD 18 – USD 22
New
Live Update
17 Juli 2026
Deadline
17 Jul 2027

Job Description

Join our dynamic data team at InnovateTech Solutions and gain hands-on experience in real-world data analytics during our night shift operations. This paid internship offers flexible scheduling for students seeking to build technical skills while supporting our 24/7 client services. You'll work alongside industry professionals in a collaborative environment designed to accelerate your career growth.

Why This Role?

  • Competitive hourly pay with flexible night shift scheduling
  • Direct mentorship from senior data scientists
  • Exposure to enterprise-level analytics tools
  • Portfolio-building projects with tangible impact
  • Full-time conversion opportunities for top performers

Responsibilities

  • Analyze large datasets using SQL and Python to identify trends and insights
  • Create interactive dashboards and reports using Tableau/Power BI
  • Monitor night shift data pipelines and troubleshoot anomalies
  • Collaborate with cross-functional teams to support client deliverables
  • Document processes and maintain data quality standards
  • Participate in agile sprint planning and retrospectives
  • Present findings to stakeholders during morning handoff meetings

Qualifications

  • Currently enrolled in Bachelor's program (Data Science, IT, Statistics, or related field)
  • Basic proficiency in SQL and Python (pandas, numpy)
  • Knowledge of data visualization tools (Tableau, Power BI, or similar)
  • Ability to work independently during night shift hours (10 PM - 6 AM)
  • Strong problem-solving and analytical thinking skills
  • Excellent written and verbal communication abilities
  • Detail-oriented approach to data validation and reporting
  • Must be authorized to work in the United States

Required Skills

SQL Python Tableau Data Analysis Problem Solving Night Shift Data Visualization Statistics Communication Pandas

Ready to Take This Challenge?

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