data analyst

“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…”

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

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

“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.”

“Yes, that is completely true.”

“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…”

“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.”

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

“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 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.”