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Information Technology 🏢 Internship ⭐️ Verified

Night Shift Data Analytics Intern

InnovateTech Solutions
Los Angeles
Estimated Salary
USD 22 – USD 28
New
Live Update
18 Juli 2026
Deadline
18 Jul 2027

Job Description

Join InnovateTech Solutions as a Night Shift Data Analytics Intern and launch your career in one of America's most vibrant tech hubs! This paid internship offers hands-on experience transforming raw data into actionable insights while working alongside industry experts in our Los Angeles headquarters. Perfect for students seeking flexible schedules, our night shift position allows you to gain real-world experience while maintaining your academic commitments. You'll collaborate with cross-functional teams to optimize business operations and contribute to cutting-edge projects that drive innovation. This is your opportunity to build a professional network, develop technical skills, and make a tangible impact in a dynamic environment.

Responsibilities

  • Analyze complex datasets using SQL, Python, and Tableau to identify trends and opportunities
  • Create compelling data visualizations and dashboards for executive presentations
  • Support A/B testing initiatives and statistical analysis for product optimization
  • Collaborate with engineering teams to improve data collection systems
  • Document analytical processes and maintain data integrity standards
  • Present findings to stakeholders and recommend data-driven strategies

Qualifications

  • Currently pursuing Bachelor's degree in Data Science, Computer Science, Statistics, or related field
  • Proficiency in SQL and Python (Pandas, NumPy)
  • Experience with data visualization tools (Tableau, Power BI, or Matplotlib)
  • Strong analytical problem-solving skills with attention to detail
  • Ability to work independently during night shift hours (10 PM - 6 AM)
  • Excellent written and verbal communication skills
  • Available for 20-30 hours/week during Summer/Fall 2024

Required Skills

SQL Python Tableau Data Analysis Statistical Modeling Data Visualization

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