Partner with our content team to shape the curriculum —share expert judgment on what working analysts actually need to learn, and advise on the tools and features required to teach AI-assisted analysis effectively.
Design step-by-step walkthroughs and record video demos that show AI tools applied to real analyst workflows
Distinguish features (things AI lets you do that you couldn't before) from efficiencies (things AI lets you do faster) — and help us teach the difference
Pressure-test course content for skills alignment: does this cover what a learner actually needs to complete the task? What's missing, mis-sequenced, or tangential?
Record, edit, and deliver publish-ready instructional videos per our format and quality specs

5+ years of hands-on Data Analyst experience in industry (not purely academic), currently working in the field or with hands-on experience within the last 2 years
Demonstrated experience teaching, mentoring, or training other analysts (bonus if this is on AI tooling or integration)
Show us your work: a portfolio of instructional video — walkthroughs, recorded trainings, talks, internal demos, a YouTube channel, anything that proves you've made teaching content before
Production self-sufficient: you own (or have access to) your preferred screen recording and editing tools — Camtasia, Loom, OBS, ScreenFlow, your call — and can deliver edited, publish-ready files without us providing software or hardware
Teaching presence on mic or on camera: you pace narration so a learner can follow, don't bury the lesson in filler, and sound like an instructor who's done this before
You can point to specific analyses where AI tools changed how you worked — and articulate where they helped vs. where they didn't
Proficiency in SQL (intermediate to advanced), Python or R, and at least one BI tool (Tableau, Power BI, Looker, or equivalent)
Strong written communication: clear, accurate, well-organized.

Data Analyst, SME

Key skills