What’s your relationship with data?

I’ve worked for different companies and my experience varied a lot. One my previous employer didn’t want to invest in mixpanel / product analytics tool and we ended up configuring each event manually and passed it on to redshift. Due to this we just had too much of dependency on analytics. Compare to it now I only take there help when I want to get some correlation or major exploration done. How has been your experience so far?

As the title says I want to learn how and which tools do product people in startups use to query data, make dashboards, do A/B testing and all that. I'm working at a startup where none of this is practiced, so I want to know how other folks do it as most startups in the growth stage and above do this and expect the candidate to be aware of the tools, setup etc.

Lead social, brand, perf, SEO, partnerships, community, growth, pretty much everything across zero to fairly high budgets. Happy to help.

Here are all the tools i've used: 1. Mixpanel 2. Moengage 3. Metabase (at a company with multi-million userbase) 4. Amplitude Mixpanel wins for me in terms of usability, Amplitude wins if time spent is the goal for your app. rest of them are pure shit (will result in big analytics team).

I am a fresher working as a Data analyst in a growing startup. My current role doesn't include much of coding just python and SQL and sometimes little bit ML work. Currently handling 2 projects, and some of PM work to define some roadmaps. I like engineering and coding in whole and want to know more. So do I switch to some SDE role or is there are more paths after Data analytics? I know ML, DL and NLP but not sure will it be a great choice to make career primarily in Data science. So, I am little confused. Please give all good advices. Thanks A curious Engineer

Preparing for a data analyst role. Any data analyst here?? Need some insights o daily tasks of a data analyst.

It's almost been one year since I starting working as a data analyst (first job overall) at a saas startup. It's been good so far, learnt a lot about business as well as data, but feeling kinda saturated now. I find growth/ product roles to be more attractive (direct impact on the growth of the org). But I'm an unsure where to start, and what are the skill sets that I need to have. Being in data I'm well versed with SQL, data pipelines and some business functions as well. If anyone has any thoughts, feel free to share!

Hey everyone, happy to answer any questions around Data Science/ML/AI and making a career within it A brief about me, I work currently as a Sr. ML Engineer at an Indian unicorn startup I graduated 5+ years ago and have since worked as a Data Scientist / ML Engineer at an ecommerce company and social media company. My designations have changed based on the industry requirements and work too changed based on that. Would love to take questions on what it means to be an ML Engineer, my early learnings from a career in data science, and thoughts on AI. Look forward to all questions :)