If you’re planning to start with your career as soon as possible then Data Analytics job is nowadays a better option for you which is always in demand. However, for that you need to learn some skills like Excel, Power BI, SQL or Python for you Data Analytical career.
Let me breakdown to help you make the right decision based on market demand, learning curve, and salary potential.
💼 Job Market Demand
- Excel is still widely used across many companies. Over 150,000 job postings require Excel. Ideal for entry-level roles like:
- Data Entry Operator
- MIS Executive
- Junior Data Analyst
- Power BI is in high demand for data visualization roles like:
- BI Analyst
- BI Developer
- SQL (Structure Query Language) is another powerful tool used for automation and advanced analytics. It’s essential for mid to senior-level roles like:
- Data Analyst
- Database Administrator
- Business Analyst.
- Python is powerful for automation and advanced analytics. It’s essential for mid to senior-level roles like:
- Data Analyst
- Data Scientist
- Product Analyst
📚 Learning Curve for Each Tool
📗 Excel
- 🕐 Basics: 2–3 weeks.
- 📊 Advanced (Pivot Tables, Power Query): 1–3 months.
- 👍 Great for quick job readiness.
📘 Power BI
- 🧪 Learning Time: 2–3 months.
- 📈 Key Focus: Building dashboards, using DAX formulas.
- 🛠️ Intermediate skill that adds visual strength to your profile.
🗃️ SQL
- 📘 Basic Queries: 1 month.
- 🧠 Joins, Subqueries, CTEs: 2–3 months.
- 🧱 Foundation for database management and business logic.
🐍 Python
- ⏳ Takes time: 4–6 months to become job-ready.
- 📚 Learn libraries like NumPy, Pandas, Seaborn, Matplotlib.
- 🚀 Advanced tracks: Web scraping, Machine Learning, Deep Learning.
💰 Salary Expectations (India)
Skill | Job Roles | Salary Range (LPA) |
Excel | Data Entry, MIS Executive | ₹2.5–4.5 LPA |
Power BI | BI Analyst, Visualization Roles | ₹4.5–6.5 LPA |
SQL | Business Analyst, Database Developer | ₹4.5–8.5 LPA |
Python | Data Analyst, Data Scientist | ₹6–10 LPA (freshers with strong skills can also expect this) |
Salaries vary by location, company, and experience level.
⚡ Which One Gets You a Job Faster?
- Fastest Route: Start with Excel – quick to learn and opens up entry-level opportunities.
- Next Step: Combine Excel + Power BI – takes 2–4 months and leads to better roles in reporting and visualization.
- Add SQL: Deepens your backend data skills and helps with logic building for dashboards and reporting.
- Long-Term Growth: Learn Python – takes more time but offers better scalability and career growth in analytics and data science.
🎯 Best Strategy?
- Short-Term Goal: Start with Excel → land a job.
- Mid-Term Goal: Add Power BI + SQL → move to reporting/dashboard and analysis roles.
- Long-Term Goal: Learn Python → grow into advanced roles like Data Scientist.
Tools are just mediums. The key skill is data analysis.
Lastly , we want to say you keep visiting our website as soon we are going to share links which provided courses to learn above skills to get your dream job.
Note : If any educational institutes providing course to develop above skills can contact us . So, that we can share their details directly here. So, that students or job seekers who want to enhance their skills can get benefit.
We appreciate your suggestions to improve the site & share more information about Odisha. So feel free to contact us through our email id contact@odishavibes.in
