@tweetfromarjun sorry for late reply...
bayya nijamga naku twitter yela use cheyyalo kuda teleyadu....
vilunte na number ki msg cheste meku complete details cheptanu...
𝗝𝘂𝗻𝗶𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝘀𝘀𝗼𝗰𝗶𝗮𝘁𝗲𝘀 (𝟰×)
- You’re detail-obsessed in the best way.
- Accounting/finance/econ background (qualified accountant can be a plus)
- Strong with company/financial reports and turning them into structured datasets
- Must be willing to learning LLM workflows + automation (e.g., n8n)
- High standards on accuracy and consistency
Email hiring@stears.co or apply here hris.peoplehum.com/ehire/jobs/ste…
SQL;
Tableau;
PowerBI;
Ms Excel;
Deep Learning with TensorFlow;
Credit Risk Modeling in Python;
Customer Analytics in Python;
Web Scraping and API Fundamentals in Python.
365datascience.com
Dear Data Analyst!
My X profile is a search engine.
But for Data Analytics.
If you search my profile you will get answers to all your Data Analysis questions❤️🔥
Try it and see😅
Many people land roles without sending a single CV
Most jobs are filled before they go public.
How?
Referrals + internal hiring.
Start:
•Engaging with analysts
•Commenting thoughtfully
•Sharing insights
•Offering value
This builds career capital.
Delete distractions.
Build leverage.
Drop endless scrolling.
Pick real skills:
• SQL
• Excel
• Power BI
Entertainment feels good now.
Skills pay you later.
Role: Intern - Analytics
Stipend: $25 per hour
Location: Remote
- MS Office, MS Excel
- Performs other duties as assigned.
Let us know if you are Interested 👇
If you’re just starting out in Data Analytics, it’s super important to build the right habits early.
Here’s a simple plan for beginners to grow both technical and problem-solving skills together:
If You Just Started Learning Data Analytics, Focus on These 5 Baby Steps:
1. Don’t Just Watch Tutorials — Build Small Projects
After learning a new tool (like SQL or Excel), create mini-projects:
- Analyze your expenses
- Explore a free dataset (like Netflix movies, COVID data)
2. Ask Business-Like Questions Early
Whenever you see a dataset, practice asking:
- What problem could this data solve?
- Who would care about this insight?
3. Start a ‘Data Journal’
Every day, note down:
- What you learned
- One business question you could answer with data (Helps you build real-world thinking!)
4. Practice the Basics 100x
Get very comfortable with:
- SELECT, WHERE, GROUP BY (SQL)
- Pivot tables and charts (Excel)
- Basic cleaning (Power Query / Python pandas)
_Mastering basics > learning 50 fancy functions._
5. Learn to Communicate Early
Explain your mini-projects like this:
- What was the business goal?
- What did you find?
- What should someone do based on it?
#DataAnalytics
🚀 HIRING: DATA ANALYST INTERN (REMOTE)
📍 Cedarstone Global
📍 London, UK (Remote-first)
✔ Junior-friendly – no prior finance experience required
✔ Hands-on work with real brokerage & trading data
✔ Learn Excel, Power BI & SQL on the job
✔ Flexible working hours
✔ Visa sponsorship available (eligible candidates)
✔ FREE relocation support to work abroad 🌍
✔ Clear growth path into advanced analyst roles
Role
• Clean & analyse trading and client data
• Track KPIs (ROI, drawdown, trade volume)
• Build reports & dashboards (Excel / Power BI)
• Support senior analysts with insights & trends
🌍 Bonus Perks
• Fully remote role
• Occasional London team meet-ups
• Global exposure in finance & analytics
👉 Apply Now
Jobalerts.short.gy/data-intern
🔁 Share / Repost within your network
#DataAnalyst#DataAnalystIntern#RemoteJobs#InternshipUK#VisaSponsorship#AnalyticsCareers#UKJobs#DataJobs#WorkAbroad