@Femiforge You see that paracetamol! It’s very essential. I’ve been battling with headache for days now, even after eating 3 square meals everyday. OMO! 😭
Earlier this year, I decided to expand my journey from fashion business into tech, and it’s already been one of the most rewarding experiences for me.
Grateful to share that I’ve been selected for my second Data Visualization internship opportunity! 📊💻
A big thank you to @Excelerate_org for this amazing internship opportunity, and to @ezekiel_aleke and @TechSphereAcad for the training, guidance, and support at the beginning of my Data Analytics journey. 🙏🏽✨
6. reasons why you should become an Ai powered data analyst in 2026
1. Let’s talk money.
In Nigeria, entry-level data analysts typically earn ₦200,000 to ₦300,000 monthly, mid-level analysts pull in ₦400,000 to ₦700,000, and senior analysts cross ₦1 million.
Go remote with a foreign company and the pay shifts entirely. Junior remote roles start around $1,500 to $2,500 monthly, with experienced analysts earning $4,000 and above.
2. AI made analysts more valuable, not less.
Every company adopting AI still needs humans who can ask the right questions, sanity-check the outputs, and turn raw data into decisions leadership will actually act on. Tools got cheaper. Judgment got more expensive.
3. You can earn globally without leaving home.
Remote analyst roles pay in dollars, pounds, and euros. A Lagos-based analyst billing a US or UK company is no longer a flex story; it’s a standard career path in 2026.
4. Every industry is hiring, not just tech.
Banks, hospitals, logistics, agritech, government, retail, sports, entertainment. Anywhere data exists (which is everywhere now), there’s budget for someone who can make sense of it.
5. The entry barrier is low compared to the payoff.
No four-year CS degree required. SQL, Excel, a BI tool, and a real portfolio can take you from zero to hired in 6 to 12 months. Very few high-paying careers move that fast.
6. It’s a launchpad, not a ceiling.
Analyst opens doors into data science, analytics engineering, product analytics, BI leadership, and consulting. You’re not picking a job. You’re picking a direction with branches.
I received my Congratulations mail from @analystlabafric 🎉 I’m truly grateful for this internship opportunity 🥰
To my amazing tutor @ezekiel_aleke thank you for your guidance and support @TechSphereAcad grateful for how far I’ve come in my learning journey!
#DataAnalytics