7 Baby Steps to Become a Data Analyst 👇👇

1. Understand the Role of a Data Analyst:

Learn what a data analyst does, including collecting, cleaning, analyzing, and interpreting data to support decision-making.

Familiarize yourself with key terms like KPIs, dashboards, and business intelligence.

Research industries where data analysts work, such as finance, marketing, healthcare, and e-commerce.


2. Learn the Essential Tools:

Excel: Start with basics like formulas, functions, and pivot tables, then advance to using Power Query and macros.

SQL: Learn to write queries for retrieving, filtering, and aggregating data from databases.

Data Visualization Tools: Master tools like Power BI or Tableau to create dashboards and reports.


3. Develop Analytical Thinking:

Practice identifying trends, patterns, and outliers in datasets.

Learn to ask the right questions about what the data reveals and how it can guide decision-making.

Strengthen problem-solving skills through real-world case studies or challenges.


4. Master a Programming Language (Python or R):

Learn Python libraries like pandas, NumPy, and matplotlib for data manipulation and visualization.

Alternatively, learn R for statistical analysis and its packages like ggplot2 and dplyr.

Work on projects like cleaning messy datasets or creating automated analysis scripts.


5. Work with Real-World Data:

Explore open datasets from platforms like Kaggle or Google Dataset Search.

Practice analyzing datasets related to your area of interest (e.g., sales, customer feedback, or healthcare).

Create sample reports or dashboards to showcase insights.


6. Build a Portfolio:

Document your projects in a way that demonstrates your skills. Include:

Data cleaning and transformation examples.

Visualization dashboards using Power BI, Tableau, or Excel.

Analysis reports with actionable insights.


Use GitHub or Tableau Public to showcase your work.


7. Engage with the Data Analytics Community:

Join forums like Kaggle, Reddit’s r/dataanalysis, or LinkedIn groups.

Participate in challenges to solve real-world problems, such as Kaggle competitions.

Additional Tips:

Gain domain knowledge relevant to your target industry (e.g., marketing analytics or financial analysis).

Focus on communication skills to present insights effectively to non-technical stakeholders.

Continuously learn and upskill as new tools and techniques emerge in the data analytics field.

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Standard Chartered is hiring!
Position: Business Analyst
Qualification: Graduate/ Postgraduate
Salary: 7 - 18 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore, India

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Freshers are eligible ✅
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Salary: 5 - 9 LPA (Expected)
Location: Bangalore/ Gurgaon

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Barclays is hiring!
Position: Data Analyst, Analytics
Qualification: Bachelor's/ Master’s Degree
Salary: 8 - 11 LPA (Expected)
Experience: Freshers/ Experienced
Location: India

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Dotsquares is hiring Business Analyst 🚀

Qualification : Bachelor's degree
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Step-by-step guide to become a Data Analyst in 2025—📊

1. Learn the Fundamentals:
Start with Excel, basic statistics, and data visualization concepts.

2. Pick Up Key Tools & Languages:
Master SQL, Python (or R), and data visualization tools like Tableau or Power BI.

3. Get Formal Education or Certification:
A bachelor’s degree in a relevant field (like Computer Science, Math, or Economics) helps, but you can also do online courses or certifications in data analytics.

4. Build Hands-on Experience:
Work on real-world projects—use Kaggle datasets, internships, or freelance gigs to practice data cleaning, analysis, and visualization.

5. Create a Portfolio:
Showcase your projects on GitHub or a personal website. Include dashboards, reports, and code samples.

6. Develop Soft Skills:
Focus on communication, problem-solving, teamwork, and attention to detail—these are just as important as technical skills.

7. Apply for Entry-Level Jobs:
Look for roles like “Junior Data Analyst” or “Business Analyst.” Tailor your resume to highlight your skills and portfolio.

8. Keep Learning:
Stay updated with new tools (like AI-driven analytics), trends, and advanced topics such as machine learning or domain-specific analytics.

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American Express is hiring!
Position: Analyst - Data Analytics
Qualifications: Bachelor’s/ Master’s Degree
Salary: 6.5 - 13 LPA (Expected)
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American Express is hiring Analyst 🚀

Min. Experience : 1 Year
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Gartner is hiring Associate Data Scientist 🚀

Experience : 0-3 Years
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Accenture is hiring!
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Deloitte is hiring!
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Salary: 5 - 9 LPA (Expected)
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Uber is hiring!
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Salary: 16 - 46 LPA (Expected)
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Gainwell Technologies is hiring!
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Location: Work From Home/ office

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Experience : 1+ Years
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