Adaeze Oraeke

@officialladi_T @Obiekweemma Really enjoyed excel

Which of this Tools did you enjoy learning? Excel SQL Power Bi Python

@TheBayoHub Jobs and clients

As a tech person… What do you need most right now? • Job • Skill • Mentorship • Clients

@chioma_oko Hi

I've noticed that linkedin creators are now building on X If you're a linkedin creator, I would like to connect with you here. If you're a product manager or into tech, we should be buddies. Drop a "Hi" let's connect.

@CollinsKimotho Let’s connect

If you're into data, let's connect 🤝

Here’s a step-by-step guide to finding a remote job on Google Careers: 1. Go to the site Visit careers.google.com and click “Jobs” in the top navigation. 2. Search for roles In the search bar, type a job title or keyword relevant to your skills (e.g., “Data Analyst,” business Analyst, Sales Analyst, “Program Manager,” “UX Writer”). 3. Filter for remote Under the “Location” filter, type “Remote” or select “Remote eligible” this surfaces roles that are fully remote or hybrid-remote. 4. Narrow down further Use additional filters to refine results: ∙Team/Area e.g., Engineering, Sales, Operations ∙Type: Full-time, Part-time, Internship ∙Location: if you want remote within a specific country or region 5. Read job descriptions carefully Open each listing and look for: ∙“Remote eligible” or “Location: Remote” in the details ∙Required location/timezone (some “remote” roles have geographic restrictions) ∙Visa/work authorization requirements 6. Create a Google Careers profile Click “Sign In” (top right) and log in with your Google account. This lets you save jobs and track applications. 7. Tailor your application Before applying: ∙Align your CV/resume keywords with the job description ∙Highlight quantifiable achievements (Google loves data-driven results) ∙Prepare a strong cover letter if required 8. Submit your application Click “Apply” on the listing. Most roles redirect to an internal form where you upload your resume and fill in your details. 9. Set up job alerts After searching, click “Create email alert” to get notified when new matching roles are posted, useful since remote roles fill fast. 10. Prepare for Google’s hiring process If shortlisted, expect: ∙Recruiter screen (30 min call) ∙Technical/role-specific interviews (often 3–5 rounds) ∙Behavioral interviews using the STAR method ∙For technical roles, coding challenges or case studies

@ezekiel_aleke Jobs next

Do this And you’ll never be broke in 2026🔥🔥

@the_Fitcode Connect

if you are in Tech let's connect and engage 📈🎀🎀

@ExtracoolBB Omo so you guys are this many on this platform

Dear data Analyst- Senior/Junior Camp under this tweet and interact We must have a voice on this space!!!!

@imalice97 Hi

Even if you have 1 followers, Just say hello, let’s follow you ✌️

I finally did it… I’m sharing my data analytics portfolio I’d love to hear your thoughts and feedback. I’m currently open to data analyst roles, internships, and collaboration opportunities. Check it out => oraekeadaeze.my.canva.site

@BestofDem_szn Hello guys, please let’s connect

Build your 𝕏 Account X is a full time job. Just say "Hello" and gain 99+ mutuals under this post.

Data analysis really goes beyond cleaning, modeling or visualizating data. Communicating data is really important.

This is why data analysts shouldn’t only focus on queries, dashboards, or models, but also on how insights are communicated. Good storytelling turns data into understanding, and understanding drives better decisions. 📊

To put it simply: •Concept = the main takeaway from the data •Narrative = how you guide your audience to understand that takeaway. Many analyses fail not because the data is wrong, but because the insight isn’t communicated clearly.

Concept: Sales are stagnating because customer acquisition hasn’t increased. Narrative: You then show the trend in sales, the number of new customers over time, and explain how the lack of growth in new customers affects revenue.

Data analysis is not just about numbers, storytelling matters. As a data analyst, understanding the difference between concept and narrative is important. • Concept → the key insight from the data • Narrative → the story that explains that insight

SQL JOINs and Power BI relationships solve the same problem: connecting tables for analysis. SQL uses JOINs, while Power BI uses relationships in the data model. I use Power BI more because I’m familiar with it, but I’m practicing SQL too. Which do you prefer? #SQL #PowerBI

Thought I’d spend my time analyzing data… but 90% went into cleaning it 😅 Missing values, duplicates, weird symbols… data cleaning is the real silent time-sinker. #DataCleaning #Dataanalysis #AnalyticsLife

Another milestone unlocked 🎓✨ Certified in Data Analysis for Real World Business Applications. The journey continues 🚀 @RxData_Hub thank you for the opportunity #DataAnalytics #BuildInPublic #buildyourportfoliowithme #certification

This project demonstrates how data analytics can support strategic HR decision making and reduce employee turnover. #DataAnalytics #PowerBI #HRAnalytics #BusinessIntelligence #WorkforceAnalytics #DataPortfolio

🚀 HR Workforce Analytics: Employee Attrition & Retention Analysis (Power BI Project) Employee attrition remains one of the biggest challenges organizations face today — impacting productivity, morale, and recruitment costs. #DataAnalytics #PowerBI #BusinessIntelligence