Data Analyst

“The data, data analysts basically are the most worried about losing their job.”

“A lot of analyst roles, like, or like the data analyst roles, which are not business thinkers, you know, they were given a task that, hey, like, I need to see this data, and then they produced, like, they sort of go and build those specific dashboards, configu…”

“I think what that data analyst, instead of writing millions of variations of basically similar queries, is now going to be describing datasets. He's going to be running these queries, but he's going to give semantic, they're going to give semantic context to w…”

“So data analysts don't want you the SaaS owner, to build charts for them. Data analysts want their hands on their data.”

“I see a lot of people move laterally into data engineering, often from either data analyst or software engineer. Data analyst, because I think there's just the sheer quantity of data analytics jobs are More.”

“Everyone that owns a function no longer needs an analyst. The analyst is the model that's sitting on the computer in front of you right now, and you tell it what you want, and not days later, but minutes later, you get your answer.”

“I like to think analysts make incredible product managers largely because you're forced to think broadly about the business, really dive deep into data, both quantitative and qualitative and the signals that you can gather to really inform strategy.”

“We're entering the era where we collapse the stack in every organization, where instead of having to go to someone for anything, you can kind of do more things yourself. It's very empowering to get the answer from data as opposed to having to go to a data scie…”

“So many of the kind of data tools and systems that people use today, they're optimized for big data. They're optimized for running a point query across petabytes of data in milliseconds which is not the work that most data analysts and analytics engineers are …”

“I would often say actually a data analyst needs to be the very first hire. Sometimes even try to find a growth PM who can do analysis. If you're really small, right? You can find that type of unicorn person or even before hiring growth PM, hiring analysts that…”

“So today, majority of our user base, I would say about 65 to 70% are data analysts and data engineers.”

“I think that a data analyst is somebody who answers business questions with data and they have a, they frequently will have a business or econ degree. They like are interested in solving business problems, but they're also not afraid of technology and they oft…”

“Yes, that is completely true.”

“That is like the death of the data analyst as like a productive member of your team. They will get frustrated. They will leave. They, they're, they don't have great career paths. All of these like negative outcomes.”

“Like if you take a team at a like very good, like the data forward organization, a team of 20 data analysts, my guess is that they spend 50% of their time blocked.”

“There's over 400,000 data analysts jobs posted.”

“Data analysts and data engineers tend to waste around one to three hours per day on duplicating work that someone else has already done.”

“Data analysts are very sophisticated, you know, ML, statistics, PhDs, and so on, and they've been hired to, you know, move the needle for the business by developing very complex models, but instead they're being utilized today basically to be list pull monkeys…”