Tiger Analytics Test Analyst salaries in India

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

Nothing, They do offer a lucrative salary which is just a sham to cover up their poor hiring skills

Dislikes

They hired freshers in bulk from mostly premium colleges like IIT/NIT and the likes and now a month into the job they are saying that they don't have projects, don't have clients and would have to pause fresher's engagements. They are now threatening to fire us based on a test which is a single attempt only and has a cutoff of >70%. The other option is to stay on a sabbatical until January (all while being unpaid). The HRs and the lead are behaving as if they are doing some kind of favour over the freshers by offering them two months of severance pay if we will fail the test. Just hire and fire to get funding from VCs and then play with careers of people.

Likes

Great work in killing the enthusiasm to learn. Great mindset of management, they think data engineers can never learn Machine learning. They ask data engineer do you know how to write a code. In their opinion Data Engineer doesn't know how to write a code.

Dislikes

Data Engineer are underdogs in every aspect like salary, they way you'll be treated. Data Science > Data Engineer. Doesn't matter you willingness to learn or how skilled you are. No chance for carrier change.

Likes

The compensation was great.

Dislikes

Most of the things apart from compensation were pathetic. 1.) Learning curve was flat, I didn't learn thing here. The onboarding process for the project was pretty much non existent. The project I was a part of was a maintenance project so nothing to learn. 2.) The team I was a part off had some serious internal politics something I have not experienced till date, stealing credits, sidelining you from project discussion are some of the things I have observed. 3.) Micromanagement and too many unnecessary meetings was another core theme. 4.) Work life balance is non existent, and having more than 2 managers often caused more harm than any good.