Tiger Analytics Service Desk Engineer 2 salaries in India

Likes

Good place to work and learn. A standard industrial learning program and work culture. Good projects for DS, data engineering and analytics compared to the Indian company working in this spectrum.

Dislikes

It's physical office space and culture are still in a growing and learning phase. It was good upto last year but they're going through salary restructuring due to bad markets. Very low physical interaction with colleagues or group outings or fun events as compared to a lot of young startups at its level but since people are professional I wouldn't say it's a super bad thing, it's just expected from a growing young startup.

Likes

MNC company working with emerging technologies like data science, data analytics and AI Not much work pressure, you just need to perform the assigned tasks. Decent management

Dislikes

...ills. Colleagues are not supportive and most of the times you are on your own. Company is not in the league of their competitors in terms of work or salary even though they are in the market for a long time.

Likes

Great Compensation. Vast number and variety of projects.

Dislikes

Terrible lead (he was a SIMP). Terrible manager (used to ping at 9 pm onwards and ask to complete immediate adhoc request within same day i.e. by 12 am or so ). Project allocation not in line with skills in my case. No work life balance as everything is urgent for managers. Adhoc tasks keep on barging in. After that these managers and leads snub your credits for all your hardwork which is very demotivating.

Likes

Managers and leadership people are very polite

Dislikes

Low salary if you don't negotiate, HRs get fast promotions as they are able to hire at low salary Clients they choose are very rude with employees, and leadership doesn't take accountability to protect their employees

Likes

You get to work with really talented people. It's permanent remote work and the higher management listens or try to resolve any problem you have.

Dislikes

...re mostly some data prep ones. Core data science is involved in lesser projects. Salary should be on a bit higher side.