Beyond Data Analytics: Shruti Trivedi Steps into a Rs. 4.5 LPA Category Management Role at Vahdam with PW Skills

Starting a career after developing skills in data analytics can lead to opportunities across different professional roles and sectors. Understanding actual placement outcomes can help learners see how these skills may connect with varied career paths beyond traditional Data Analyst positions.

Shruti Trivedi’s Rs. 4.5 LPA opportunity at Vahdam provides one such example. Her placement record shows her selection as an Associate Category Management professional with a CTC of Rs. 4.5 LPA. The role is based in Noida and falls under the food and beverage sector, highlighting a career opportunity beyond a conventional data analytics job title.

Shruti Trivedi’s Rs. 4.5 LPA Career Opportunity at Vahdam

Shruti Trivedi is recorded as a self-placed student from the DA Batch. Her placement details show Vahdam as the company and Associate Category Management as her role.

The placement record shows that Shruti’s role is in Associate Category Management rather than a role titled Data Analyst. This makes her placement an example of a career opportunity extending beyond a conventional data analytics job title.

How Shruti Trivedi’s Career Moved Beyond a Data Analyst Role

Shruti’s record is associated with DA Batch-2, while the role secured at Vahdam is Associate Category Management. The sector is recorded as food and beverage, and the work location is Noida.

This combination shows that a learner from a data analytics batch can have a placement record for a role with a different professional title. Shruti’s role as Associate Category Management at Vahdam represents a career opportunity beyond the traditional Data Analyst role, showing how learners can explore different professional roles after developing skills in data analytics.

How PW Skills Supported Shruti Trivedi’s Career Journey

PW Skills helps learners build skills and explore professional opportunities across different roles and domains. Placement outcomes can provide examples of how learners move from skill development towards professional opportunities in different sectors and job profiles.

Here’s how PW Skills supports students’ career journeys:

• Skill Development: Learners can develop skills relevant to professional roles across different domains.

• Career Exposure: Placement opportunities can give learners exposure to different roles and professional environments.

• Professional Opportunities: Students can explore opportunities across different companies and job profiles.

• Career Flexibility: Career outcomes can extend beyond traditional job titles within a particular learning domain.

• Industry Opportunities: Placement records showcase opportunities across different sectors and professional roles.

• Career Start: Placement outcomes provide examples of learners beginning their professional journeys through available opportunities.

Start Building Your Data Analytics Career with PW Skills

PW Skills offers learners opportunities to develop relevant skills and prepare for professional roles across different technology-focused domains. Its learning and career-focused approach can help students build skills relevant to data analytics and explore professional opportunities across different roles.

Students interested in a data analytics career can use these learning opportunities to strengthen their skills, gain professional exposure and prepare for roles across different domains. Joining PW Skills can be a step towards developing relevant skills and working towards a career in data analytics.