Starting a career in data analytics can be challenging for learners who want to enter the technology sector. Many students are unsure about what a real job or internship actually looks like once they enter the field. Knowing the details of an actual placement, such as the role, the company, the stipend and the salary, can give a much clearer picture of what to expect.
Shivam Singh's placement record offers one such example. His record shows that he joined HubUnicon as a Data Analytics Intern. During the internship, he received a stipend of Rs. 10K to Rs. 15K. Later, this internship led to a confirmed CTC of Rs. 3.5 LPA. This journey from an internship stipend to a full CTC offer makes his record a helpful example for anyone trying to understand what a real data analytics career path can look like.
Shivam Singh's record shows him joining HubUnicon as a Data Analytics Intern, with his domain listed as Data Analyst and his offer letter status marked as received. This placement reflects a clear entry point into the data analytics field, backed by a confirmed offer.
|
Placement Detail |
Recorded Information |
|
Student |
Shivam Singh |
|
Quarter |
JAS 2026 |
|
Company |
HubUnicon |
|
Role |
Data Analytics Intern |
|
Domain |
Data Analyst (Offline) |
|
Stipend |
Rs. 10K–Rs. 15K |
|
CTC |
Rs. 3.5 LPA |
|
Work Mode |
WFH |
|
Current Working City |
WFH |
|
Offer Status |
Offer letter received |
|
Sector Type |
Tech |
|
Mode |
Offline |
Shivam Singh began his professional journey in the data analytics field by stepping into a Data Analytics Intern role at HubUnicon. This opportunity marked the beginning of his career in a technology-focused domain and gave him a chance to enter the professional world of data analytics.
His journey is an example of how students aspiring to build a data analytics career can take their first step towards professional roles in the field.
PW Skills gives learners a platform to sharpen practical skills and get a real feel for professional roles across various technology-driven fields like Data Analytics. The outcomes recorded for students show how these opportunities help them step into the workforce and kickstart their careers.
Here's a look at how PW Skills helps students move forward professionally:
Building Practical Skills: Learners get the chance to strengthen abilities that matter for tech-driven roles across industries.
Real-World Exposure: Placement opportunities let students experience what professional roles in different domains actually involve.
A Path Into the Workforce: Students get a genuine shot at making their first move into the professional space.
Roles in Tech Domains: Recorded outcomes span technology-related fields, including positions like Data Analyst.
Access to Company Opportunities: Learners can connect with career openings across a range of companies and job roles.
Starting the Career Journey: Documented placements act as real examples of students taking their first steps into professional life.
PW Skills gives students the tools to build relevant skills and prepare for professional roles across various technology-focused domains. Its practical, career-oriented approach helps learners work towards real opportunities in fields like data analytics and other tech-driven roles.
By engaging with these learning opportunities, students can develop in-demand skills, gain genuine professional exposure and take meaningful steps towards launching their careers. For those aiming to build a career in data analytics, focusing on relevant skill-building and gaining exposure to professional opportunities can be an important step towards entering the field.

