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Information Technology 🏢 Internship ⭐️ Verified

Paid Data Analytics Internship

InnovateTech Solutions
Columbus
Estimated Salary
USD 18 – USD 22
New
Live Update
22 Agustus 2026
Deadline
22 Agu 2027

Job Description

Join InnovateTech Solutions' award-winning data team and transform raw data into actionable business intelligence! This paid internship offers hands-on experience with real-world datasets while working alongside industry experts. You'll gain exposure to cutting-edge analytics tools and methodologies that drive our clients' success. Perfect for students pursuing degrees in Computer Science, Statistics, or Business Analytics.

Our internship program includes mentorship sessions, networking opportunities, and potential conversion to full-time roles. Enjoy flexible scheduling (15-25 hrs/week) and a collaborative startup environment where your ideas make an impact.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and opportunities
  • Create interactive dashboards and visualizations with Tableau and Power BI
  • Assist in developing predictive models for business forecasting
  • Collaborate with cross-functional teams to deliver data-driven recommendations
  • Present findings to stakeholders through clear, compelling reports
  • Participate in agile development sprints and code reviews
  • Document processes and maintain data quality standards

Qualifications

  • Currently pursuing Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • Proficiency in SQL and at least one programming language (Python/R preferred)
  • Familiarity with data visualization tools (Tableau/Power BI)
  • Strong analytical thinking and problem-solving abilities
  • Excellent written and verbal communication skills
  • Ability to work independently and manage deadlines
  • Basic knowledge of statistical concepts and machine learning
  • Must be authorized to work in the US

Required Skills

SQL Python R Tableau Power BI Data Visualization Statistical Analysis Machine Learning Data Cleaning

Ready to Take This Challenge?

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