Altimetrik Data Science & Analytics Department Salaries in India

Likes

...ve good number of top blue chip clients so there is no worry about job security. They also pay good.

Dislikes

no ESOPs for lower level employees, appraisals are not so good, not have a good rewards and recognition program, some benefits and facilities are missing for e.g. Car lease program, International relocation.

Likes

Good client to work Better leaning opportunities from different clients. Salary structure are managed

Dislikes

Less learning in client side. Salary increment cab ve better. Technology growth are there but less opportunities to projects.

Likes

Product development Exposure Timely salary payment Group medclaim policy

Dislikes

Work life balance was severy hampered. Leadership lacks vision. Work culture was very toxic due to the manager. Mid level management is incapable and lacks knowledge about data analytics and data science. Very much biased towards a group of employee. My reporting manager was very ill behaved and bad mouth. Leadership lacks screening power between good employee and bad employee.

Likes

Some extra perks of learning and festival bonus.

Dislikes

Pathetic work culture and management. It's more like a religious institute than an IT firm with head weight idiotic managers, their politics, and their favorite subordinates who dances to their tunes with zero job security. You are treated like cows in a slaughter house.

Likes

-> Good pay -> Easy interviews (they also ghost you even after clearing the interviews)

Dislikes

-> Got fired for being sick for some time (1.5 months). No compassion or humanity. -> No regards to their employees, ready to replace you without any consideration. -> Managers do not have any technical understanding to support them, they just focus on body shopping and pleasing the clients. -> Incompetent HR. -> Talent Acquisition team focuses on their department only, and do not consider for other skillset, no sync between other departments, they will lash out if bypassing them for referring.