Data Analytics Internship (Remote)
Remote · Full Time internship
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- Stipend
- Stipend: INR 15,000 – INR 25,000 / month
- Duration
- 6 months
- Start
- Immediately
- Openings
- 15
Candidates must be able to work from home, be ready to start the internship between Aug 17 and Sep 21, 2026, be available for the full six-month period, and possess relevant skills and interests. Women looking to embark on or resume their careers are also encouraged to apply.
- Work mode
- Work from home
- Education
- Any graduate or currently pursuing degree in a relevant field
- Resume
- Required to apply
About the internship
Internship Overview
This internship offers engagement in data analytics tasks with the opportunity to work remotely. The role involves processing and interpreting data to glean actionable business intelligence that supports strategic decision-making.
Key Duties
- Gather, clean, and scrutinize datasets using tools including Excel, SQL, and Python to detect patterns and trends significant to business objectives.
- Develop dashboards, visual reports, and graphical presentations through platforms such as Power BI and Tableau to monitor key performance indicators effectively.
- Facilitate data-centric decision-making by conducting exploratory data analyses, maintaining data repositories, compiling comprehensive reports, and collaborating with the analytics team on practical projects.
Candidate Criteria
Eligible applicants must be prepared to work remotely and commence their internship between August 17, 2026, and September 21, 2026. The commitment spans a period of six months and applicants should possess relevant analytical skills and interests. This opportunity is also supportive of women aiming to launch or resume their professional career trajectory.
Compensation and Benefits
Monthly stipend ranges from INR 15,000 to 25,000. Additional benefits include a certification of completion, letter of recommendation, flexible working hours, and a schedule of five working days per week.
About Vortizo AI
Vortizo AI specializes in delivering enterprise-level AI solutions, including generative AI, intelligent automation, machine learning, and computer vision technologies. Their clientele spans multiple sectors such as healthcare, finance, retail, manufacturing, education, human resources, government, and logistics, underlining their versatile industrial footprint.