Anyone here who switched into data analytics recently? How did it go? Is it still worth getting into nowadays?

I’m considering a career switch, but people often say the market is overcrowded already.

Curious to hear real experiences from different countries and backgrounds:
- How long did it take you to get your first job?
- What skills/projects helped the most?
- Was your previous experience relevant?
- Do you still think data analytics is a good field to enter today, in 2026?

Especially interested in stories from people who switched recently, please share!

I’ve developed a tool that transforms a raw spreadsheet into a live analytics workspace without the need for a server (a fully browser-based service). You’ve probably seen similar examples; what do you think such a tool should be capable of? For instance, I’m currently storing the data specifically within the browser so that the LLM only retrieves the column names, but the user could share the analysis results with the LLM if they wish.

What are your thoughts on this? What advice would you give?

Every time I try to set up a regular cadence for reviewing metrics it works great for like ten days and then something comes up, the rhythm breaks, and I'm back to doing ad hoc checks whenever something looks weird or someone asks a question. It's reactive and I know it's reactive but fixing it has been harder than expected.

The core problem seems to be that the routine I design is too ambitious. Daily dashboard review, weekly trend summaries, monthly deep dives. Sounds clean on paper. In practice the daily part eats time I don't have and I drop the whole thing.

Curious how others have structured this. Do you anchor reviews to specific events like end of sprint or start of week rather than a strict day count? Do you keep it minimal at first and only expand when the habit is actually locked in? I've heard people swear by tying it to something already on the calendar so it's not a separate commitment.

Also wondering if the tool matters here. Some dashboards make it easy to do a five minute gut check and others require enough clicking around that you just avoid opening them. I'm genuinely unsure whether the friction of the tool itself kills the habit more than the schedule design does.

What actually worked for you long term?

Where can I learn Git by doing it visually?

Searching for an enthusiastic Learner who can help me build a community in exchange for mentorship and earning post revenue generation.

I am looking for a Bachelor of Commerce graduate, eager to learn and grow his/her professional career.

should be hungry for knowledge and can spare at least 3 to 4 hours on weekends.

edit:
Look at it like an unpaid internship to start with but getting paid when the community and workshops generate revenue.
You will learn valuable skills, domain knowledge and get a chance to earn faster and more than a traditional job.

i've been enrolled in a bootcamp(data engineering) for about a year now and i'm confident in my skills atleast for entry level roles. i'm based in Ethiopia and i can say that there's almost no data engineering jobs here ,there're very few open positions for data analyst or scientists which requires atleast 4years experience and you know that remote jobs are even more competitive and struggling for entry levels. the only tech roles here seems to be backend devs,frontend and fullstack(there're tons of jobs ).what should i do ,i love data but the market is really bad here.
thanks