Data Analytics Intern

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Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Description: Data Analytics Intern (3 Months, Live Projects, PPO Opportunity)

Location:

Remote

Employment Type:

Internship (Full-Time/Part-Time as applicable)

Duration:

3 Months

Pre-Placement Offer (PPO):

Based on performance

About The Role

We are looking for a driven and curious

Data Analytics Intern

to join our team, working exclusively on live, business-impactful projects. This internship offers hands-on exposure across the full data analytics lifecycle—delivering real value to business stakeholders and allowing you to develop skills on projects that truly matter.

All your contributions will directly impact ongoing business initiatives—not capstones, mock assignments, or simulated projects

.What You’ll Do
  • Collect, clean, and preprocess data from diverse sources to ensure data accuracy and integrity
  • Analyze data using statistical techniques and leading data tools to uncover actionable business insights
  • Build dashboards and reports using tools such as Excel, Power BI, Tableau, or equivalent (training available as needed)
  • Assist business teams in interpreting data for strategic decisions
  • Document your process, methodology, and results for technical and business teams
  • Collaborate with mentors and experienced analysts; participate in meetings, project reviews, and knowledge-sharing sessions
  • Stay updated with the latest analytics best practices and contribute to ongoing improvements in products and processes
What You’ll Get
  • Live Project Experience: Work on real business problems and deliver solutions with tangible outcomes
  • Mentorship: Guidance and feedback from experienced data professionals
  • Growth Environment: A challenging, supportive atmosphere that accelerates learning
  • Opportunity: Exceptional performance could lead to a Pre-Placement Offer (PPO)
  • Portfolio-Building: Ship real project deliverables recognized by both peers and leadership
Who You Are
  • Currently pursuing or recently completed a Bachelor’s/Master’s in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field
  • Familiarity with data analysis tools such as Excel, Power BI, SQL, Python, or R
  • Analytical thinker with a strong attention to detail and creative problem-solving skills
  • Effective communicator, able to present technical information clearly to various audiences
  • Eager to learn, take initiative, and contribute to both independent and team projects
  • Portfolio, GitHub, or examples of academic or personal data projects are a plus
If solving real-world business problems with data excites you, we’d love to meet you!Skills: data cleaning,excel,python,statistical techniques,data analysis,data analytics,sql,tableau,data preprocessing,power bi,r

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