Who's here
Data, AI & Analytics
Analysts, data engineers, data scientists and ML/AI engineers — the track where demand has moved furthest ahead of the people available to fill it.
- Analytics · BI
- Data engineering
- ML & AI
The roles this group covers
From the first dashboard to the model in production — and everyone moving in from a reporting job.
- Data analysts and BI specialists
- Data engineers and analytics engineers
- Data scientists
- ML and AI engineers
- Analytics-heavy product and growth roles
- People moving in from finance, reporting or operations
The widest gap on the board
The rows for this track from the market chapter of the live session — supply against demand, as read in the room.
| Role | Supply (candidates) | Demand (openings) |
|---|---|---|
| AI/ML Engineering | low | very high |
| Data Engineering | medium | high |
From the Tech Kariyerim live session — market reading, indicative only
What actually happens here
Titles in this track mean four different things at four different companies. Most of the group's value is in telling them apart.
- 01Postings with the real job behind themWhether a “data scientist” role is actually reporting work is visible before you apply, not after.
- 02Referrals through Refer MeMembers refer members. In a track this specialised, a name attached to your CV matters more, not less.
- 03Portfolio reviewA notebook nobody can read isn't proof. What the analysis concluded carries more weight than which model produced it.
- 04Case and SQL practiceData interviews lean on case and SQL rounds. Both get practised with the free question bank.
No headcount is published for any group. What matters is whether the postings and the feedback are useful, and that is only visible from the inside.
The Data & AI role guide
The members' library includes a Data & AI deep guide — tool stack, interview framework and the career ladder from analyst to engineer.
Join the communityThe chapters that matter most for this track
Read the demand signals first, then decide which of the four job titles you are actually positioning for.
Where to start for this track
The library is open to everyone — these are the ones that map most directly onto data hiring.
Interview Question Bank (by Role)
Real interview questions organized by role track — practice with what actually gets asked.
Open in Notion (opens in a new tab)Interview prepCase Study Interview
A framework for case rounds: structuring your thinking and presenting a defensible answer.
Open in Notion (opens in a new tab)Career growth2026 Tech Careers Report
Where tech careers are heading in 2026 — roles, skills and market signals.
Open in Notion (opens in a new tab)CV & applicationsATS Master Guide
How applicant tracking systems really read your CV — and how to get past them.
Open in Notion (opens in a new tab)About this group
tech-kariyerim.com
Don't grow your career alone
Join the tech career community — free guides, live webinars, real feedback and people rooting for you.
Meanwhile, start with the free resources