I once heard that ‘a great product manager has the brain of an engineer, the heart of a designer and the speech of a diplomat!’ This goes without saying that Product Management is a versatile field and it is very important that for a product manager to remain successful in their careers they need to focus on both, their soft as well as technical skills, so that they are at par with the market and do not miss out on any opportunity.
As Richard Branson once said, “Clients do not come first. Employees come first. If you take care of your employees, they will take care of the clients.” In this period, post-covid, I have dealt with employers who have mentioned employee retention as a point of concern. Retaining staff is a huge challenge when market salaries levels keep going up, and employee’s are constantly bombarded with job opportunities.
Recently, while recruiting for a Data Analyst role, I realised how similar a Business Intelligence (BI) Data Analyst position and a Data Analyst position can be! So I felt it would be useful to research the differences, and then share these points so anyone applying to these positions can keep them in mind.
Data analysis skills will always be in demand. For most companies across various sectors, like finance and banking or retail and e-commerce or private equity firms; data plays an important role in shaping the growth and informing development roadmap of their company.