Fractal Analytics Scrum Master Consultant salaries in India

Likes

Good Compensation. Depends on your negotiation skills

Dislikes

Work Life Balance is not good. Working fot 13-15 hours is like a norm here. Some people are very old in this organisation and having startup mentality and regressive attitude. May be they are frustrated that they couldn't make to different org. Some people from Infosys, TCS and other similar consulting firms have come who often are trying to pollute the environment. Too much focus on LGBTQ community to get into race of best places to work. Recently they have started to give quota kind of thing to LGBTQ community. It is like community over performance and becoming like reservations in government

Likes

Good exposure to work with folks from different background and experiences. Good interaction with C-Level folks.

Dislikes

Salary range is too big in a particular grade. Can get lost a bit in the pace and variety of the work allocated.

Likes

Unlimited Work from Home Free meals - Breakfast, Lunch & Snacks Yearly increment is better than industry avg and is easy to achieve A below avg performer can manage to get an above avg annual hike (that’s how the current appraisal system is)

Dislikes

...sibility of managing ML/AI projects, which makes difficult to work with them. Huge disparity in compensation Performance is in no way linked to annual increment

Likes

...ing transparent and open , the actual company culture is not at all transparent. There is huge pay disparity and it's important to have connection to grow at Fractal.

Dislikes

No transparency Lack of growth Pay disparity No clear career path Client is always right attitude Always on backfoot against client

Likes

Flexible timings, easy going culture

Dislikes

...fferent performance assessment criteria and changes the direction completely. The latest one involves directly attaching client billing to an analysts increment and variable pay. Thereby if a project gets extended due to an unreasonable client or poor project management the analyst who has been struggling to finish the project, suffers even further. In addition there is a new enthusiasm about AI and ML which has been extended to the entire company in a bid to outrun competition in this new field when numerous projects are lost due to absence of basic analytical expertise and infrastructure.