Data Analyst Intern

Hidani TechRemoteInternshipPosted 35 days ago

This internship offers a chance to engage with data analysis in a remote setting. The monthly stipend can be up to 15k.

High reach for this role

21 reactions on the hiring post High attention

The posting has a high level of attention compared to other similar hiring announcements, suggesting strong interest in this position.

Your responsibilities as a data analyst intern

In this role, you will manage various data-related tasks. Your duties will include collecting, cleaning, and transforming data using Excel, SQL, and Python. You will also create dashboards and reports with tools like Power BI or Tableau, generate actionable insights, and support statistical analysis and forecasting.

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Who can consider this internship

This position is open to students or recent graduates pursuing or holding a degree in Data Science, Statistics, Mathematics, Computer Science, or related disciplines. Applicants should have a basic understanding of data interpretation and show eagerness to learn. The internship is remote and aligns with the US night shift, from 8:00 PM to 5:00 AM IST.

About the recruiter

Human Resources Associate, works at Hidani Tech

The recruiter is a Human Resources Associate at Hidani Tech, ensuring a direct connection with the hiring team.

Opportunities in the job market

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Trustworthiness of the posting

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How to enhance your application

It helps to showcase your proficiency in tools like SQL, Excel, and Python, as these are central to the internship tasks. Demonstrating familiarity with data visualization tools like Power BI or Tableau could strengthen your application. Additionally, communicating your interest in data analytics and presenting any relevant projects or coursework will be beneficial.

Questions people ask about this role

What is the stipend for this internship?

The stipend for the Data Analyst Intern position is up to 15k.

What are the working hours for this role?

The working hours are from 8:00 PM to 5:00 AM IST, aligning with the US night shift.

What qualifications are required to apply?

Applicants should be students or recent graduates from relevant fields such as Data Science, Statistics, Mathematics, or Computer Science.

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