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Information Technology 🏢 Internship ⭐️ Verified

Summer Data Analytics Intern

InnovateTech Solutions
Washington
Estimated Salary
USD 22 – USD 22
New
Live Update
14 Juli 2026
Deadline
14 Jul 2027

Job Description

Launch your career with InnovateTech Solutions' prestigious summer internship program in Washington DC! We're seeking passionate data analytics interns to work on cutting-edge projects that shape national policy and business strategy. This paid 12-week internship offers hands-on experience with real-world data sets, mentorship from industry leaders, and exposure to Fortune 500 clients. Located in the heart of DC's tech corridor, you'll collaborate with our dynamic team to transform complex data into actionable insights. Join us to build your portfolio while making a tangible impact in the nation's capital.

Our interns receive:

  • Competitive hourly pay + performance bonuses
  • Professional development workshops
  • Networking events with DC tech leaders
  • Housing stipend for non-local candidates
  • Full-time job consideration post-internship

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends
  • Create interactive dashboards and data visualizations
  • Support policy research through statistical modeling
  • Present findings to senior stakeholders
  • Collaborate on cross-functional project teams
  • Document methodologies and maintain data integrity
  • Participate in hackathons and innovation challenges

Qualifications

  • Pursuing Bachelor's or Master's in Data Science, Statistics, Economics, or related field
  • Proficiency in SQL and Python (Pandas, NumPy)
  • Experience with data visualization tools (Tableau, Power BI)
  • Strong analytical and problem-solving abilities
  • Excellent communication and presentation skills
  • Authorized to work in the United States
  • Available full-time (40 hrs/week) for 12 weeks
  • Basic knowledge of statistical modeling

Required Skills

SQL Python Data Visualization Statistical Analysis Tableau Power BI Data Mining Machine Learning

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