Tracxn Data Operations Manager salaries in Bangalore / Bengaluru

Likes

Company policy is worst

Dislikes

There is no job security. No benefit for employees and no growth in career. IMPORTANTLY never expect a good package or hike in this organisation. This is only for freshers to do time pass till they get a good job in some good companies.

Likes

Exponential learning curve, Very helpful seniors, Flexible deadlines, No office politics, project/product ownerships - So it's challenging, and that's why you will learn a lot, Colleagues got your back, so don't get tensed about handling a project, they will help you out.

Dislikes

Salary and compensation can be improvised.

Likes

Nothing

Dislikes

...s people very often. 5.Even after hiring, they look for cheaper replacements. 6.Salaries are lower than what other companies pay. 7.Office hours are strict (9 am - 6 pm) and being late is not tolerated.

Likes

Salary, autonomy, casualness

Dislikes

Imagine your client related to company executives as "BANIYA", yes it happened 🤣. Imagine the the transparent one on one with with the founder is not one on one. Believe your subordinates and the company knows your next action before you do. Plus a public company which actually doesn't have a Mission or Vision statement literally and figuratively (calls and reviews).

Likes

Salary on time

Dislikes

1. Only work in Excel sheets. Only data entry works. Please don't waste your time here. 2. You will easily get promotions here from executives to Direct Manager - Operations only with data entry knowledge. That too with 20k-25k salary. Same with manager to Direct Senior manager( 30k-35k) and AVP ops (35k- 45k). Just imagine if you apply outside with AVP ops/ Manager ops with this data entry experience. It's a trap. 3. Top management only focused on earning money. They are not even 1% serious regarding skill improvement of employees. They have rolled out some policies but only for show off. 4. Before IPO, they launched many employees centric polices to take care of employees. After IPO, they started laying off many of their old employees which were with company from starting. 5. Those who has to only do a job and no intention of career growth, then only continue in this company( Data operations department).