Pros
- great product that customers (and investors) love and that is hypergrowing - a lot of ownership - you are assigned to a product area and are responsible for setting up relationship with your stakeholders, but also to a large extent for what you will work on, and how. My work is definitely a partnership to produce useful data insights rather than a number/dashboard delivery - depth of work varies from setting up dashboards, analysing experiments, forecasting models, to using more technical tools like NLP. Analysts in the company have various strengths and (so far) were able to sort themselves into areas they know a lot about - a lot of impact - the company is hypergrowing and many areas are new so even basic data findings can change direction - miro is focusing on hiring experienced people and you can see it in the org - most, especially recent hires, have loads of knowledge and experience, so working with them is great - the managers in the analytics area are really good - the company really cares about being an attractive workplace, gives a lot of extra benefits (e.g. free train tickets in nl also for leasure trips), offers free lunch, loads of swag, regular social events etc.
Cons
- not all teams are great, few but some stakeholders lean more into a delivery than partnership model - I did not have such experiences, but I heard higher management can sometimes be micromanaging (I heard some worrying examples from engineering teams) - the role titles in the org don't make much sense. Heads reporting to Heads reporting to Heads is the norm. Most analysts would be called in other big tech companies Data Scientist / Senior Data Scientist. I heard some candidates reject offers because of the titles - no defined career development path but apparently the company is working on it in the current quarter