Data Analytics – Internship (WFH)
AKS Tech is recruiting six Data Analytics interns for a three-month work-from-home internship. The advertised stipend is ₹26,000–27,500 per month. The work combines extracting and preparing datasets with analysis, dashboards and communicating useful findings to business teams.
Key internship details
| Employer | AKS Tech |
|---|---|
| Work mode / location | Work from home, India |
| Duration | 3 months |
| Stipend | INR 26,000–27,500 per month |
| Openings | 6 |
| Start window | 5 November–10 December 2026 |
| Apply by | 5 December 2026 |
What you will work on
- Use Python and SQL to extract and manipulate datasets for analysis.
- Clean and prepare data with Microsoft Excel and other relevant tools.
- Build interactive dashboards using Power BI and Tableau.
- Analyse data for trends and insights that can inform business improvements.
- Gather requirements with cross-functional teams and help deliver data-led solutions.
- Assist with data models and algorithms used to improve business processes.
- Present findings and recommendations clearly to stakeholders.
Eligibility and skills
Applicants must be available for the work-from-home internship for three months and able to start between 5 November and 10 December 2026. They need relevant skills and interests. The complete visible employer text does not specify a degree, graduation batch or numerical minimum of experience. The skill list covers Python, SQL, Excel, Power BI, Tableau, data analysis, analytics, data science, interpretation, preparation, extraction, cleaning and manipulation.
The description emphasises working with data from extraction through interpretation, then presenting the outcome to others. Applicants should distinguish experience with a tool from experience using it to answer a question. A dashboard screenshot alone may not explain the underlying data preparation or analysis; an application can make that connection clear. This is editorial preparation guidance rather than a separate formal selection criterion.
Stipend, benefits and commitment
The internship stipend is advertised at ₹26,000–27,500 per month. No separate incentive component is stated. Listed perks include a certificate, recommendation letter, flexible work hours and a five-day week. The employer also states an expected annual salary of ₹6,50,000–8,00,000 on successful conversion to permanent employment. That conditional post-conversion figure is separate from internship pay and does not guarantee a permanent offer.
About the opportunity
The employer profile describes AKS Tech as an IT-services and consulting firm working across software, cloud, data and security. The advertised internship is in data analytics, with responsibilities around datasets, dashboards and business insights. It is not advertised as a separate machine-learning research role, and the source does not state a particular client assignment, daily timetable or selection-test format.
Preparing a useful application
Prepare one clear example of a dataset you cleaned, the question you explored and how you checked the result. If relevant, include a SQL query, a short Python analysis or an Excel/BI dashboard and explain your own contribution. Describe limitations or missing data honestly. These are suggestions to help communicate existing skills, not an employer-mandated project. Before accepting, confirm the actual stipend offered, working-hour expectations and any conversion conditions directly with AKS Tech.
How to apply
- Open the exact employer-authored Internshala listing through the Apply Now link below and review its current terms.
- Use the Apply now process. Sign in or create a candidate profile if requested. Complete the profile, answer the employer’s questions and provide relevant project or experience details accurately.
- Check your location, start-date availability and duration commitment before submitting. Keep a copy of your application and any employer communication.
The application deadline is 5 December 2026. The platform’s public JobPosting metadata gives the closing time as 11:59:59 p.m.; the visible listing shows the date without a separate time, and the metadata does not include a timezone. This opportunity was originally posted on 5 November 2026 and its live employer listing was checked during this run. Jobsii shares the information; the employer determines selection, individual offers and any later changes.
