The Shift in Data Analyst Roles: What You Should Apply for in 2025

The traditional “Data Analyst” noscript is gradually declining in demand in 2025 not because data is any less important, but because companies are getting more specific in what they’re looking for.

Today, many roles that were once grouped under “Data Analyst” are now split into more domain-focused noscripts, depending on the team or function they support.

Here are some roles gaining traction:
* Business Analyst
* Product Analyst
* Growth Analyst
* Marketing Analyst
* Financial Analyst
* Operations Analyst
* Risk Analyst
* Fraud Analyst
* Healthcare Analyst
* Technical Analyst
* Business Intelligence Analyst
* Decision Support Analyst
* Power BI Developer
* Tableau Developer

Focus on the skillsets and business context these roles demand.

Whether you're starting out or transitioning, look beyond "Data Analyst" and align your profile with industry-specific roles. It’s not about the noscript—it’s about the value you bring to a team.

Johnson Controls is hiring Data Analyst 🚀

Qualification : Bachelor's degree
Experience : 0-1 Year
Location : Pune

Apply link : https://click.appcast.io/track/mzxqtcz-org?cs=i1a&jg=92vw&bid=lUf2CslKyPxm6i440ZgUYA%3D%3D&source=appcast_LinkedIn

Cognizant is hiring Analyst 🚀

Experience : 1 Year
Location : Pune

Apply link : https://careers.cognizant.com/global-en/jobs/00063580651/analyst/?source=JB-11500

👉WhatsApp Channel: https://whatsapp.com/channel/0029Vaxjq5a4dTnKNrdeiZ0J

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All the best 👍👍

Many people ask this common question “Can I get a job with just SQL and Excel?” or “Can I get a job with just Power BI and Python?”.

The answer to all of those questions is yes.

There are jobs that use only SQL, Tableau, Power BI, Excel, Python, or R or some combination of those.

However, the combination of tools you learn impacts the total number of jobs you are qualified for.

For example, let’s say with just SQL and Excel you are qualified for 10 jobs, but if you add Tableau to that, you are qualified for 50 jobs.

If you have a success rate of landing a job you’re qualified for of 4%, having 5 times as many jobs to go for greatly improves your odds of landing a job.

Does this mean you should go out there and learn every single skill any data analyst job requires?

NO!

It’s about finding the core tools that many jobs want.

And, in my opinion, those tools are SQL, Excel, and a visualization tool.

With these three tools, you are qualified for the majority of entry level data jobs and many higher level jobs.

So, you can land a job with whatever tools you’re comfortable with.

But if you have the three tools above in your toolbelt, you will have many more jobs to apply for and greatly improve your chances of snagging one.

OLX India is hiring Business Analyst 🚀

Experience : 1-2 Year
Location : Gurugram

Apply link : https://www.linkedin.com/jobs/view/4236648377

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All the best 👍👍

American Express hiring Analyst-Data Analytics (Python, SQL)

Apply link: https://aexp.eightfold.ai/careers/job/28432954?hl=en&utm_source=linkedin&domain=aexp.com

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Apple hiring Machine Learning Engineer

Apply link: https://jobs.apple.com/en-us/details/200604647/machine-learning-engineering-manager-photos

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All the best 👍👍

EY hiring Associate Analyst

Apply link: https://eyglobal.yello.co/jobs/Ai9pmgxsAxoy_GLgj4hqlw?job_board_id=c1riT--B2O-KySgYWsZO1Q

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Airbus Internship!
Position: Data Scientist - Intern
Qualifications: Bachelor’s/ Master’s Degree
Salary: 30K - 50K Per Month (Expected)
Batch: 2024/ 2025/ 2026/ 2027
Experience: Freshers
Location: Bangalore, India

📌Apply Now: https://ag.wd3.myworkdayjobs.com/en-US/Airbus/job/Data-Scientist---Intern_JR10333719?locationCountry=c4f78be1a8f14da0ab49ce1162348a5e

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All the best 👍👍

NIKE is hiring!
Position: Data Engineer I, Analytics
Qualifications: Bachelor’s/ Master's Degree
Salary: 10 - 20 LPA (Expected)
Experience: Freshers (0 - 2 Years)
Location: PAN India

📌Apply Now: https://careers.nike.com/data-engineer-i-itc/job/R-61670

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All the best 👍👍

🚀 How to Land a Data Analyst Job Without Experience?

Many people asked me this question, so I thought to answer it here to help everyone. Here is the step-by-step approach i would recommend:

✅ Step 1: Master the Essential Skills

You need to build a strong foundation in:

🔹 SQL – Learn how to extract and manipulate data
🔹 Excel – Master formulas, Pivot Tables, and dashboards
🔹 Python – Focus on Pandas, NumPy, and Matplotlib for data analysis
🔹 Power BI/Tableau – Learn to create interactive dashboards
🔹 Statistics & Business Acumen – Understand data trends and insights

Where to learn?
📌 Google Data Analytics Course
📌 SQL – Mode Analytics (Free)
📌 Python – Kaggle or DataCamp


✅ Step 2: Work on Real-World Projects

Employers care more about what you can do rather than just your degree. Build 3-4 projects to showcase your skills.

🔹 Project Ideas:

✅ Analyze sales data to find profitable products
✅ Clean messy datasets using SQL or Python
✅ Build an interactive Power BI dashboard
✅ Predict customer churn using machine learning (optional)

Use Kaggle, Data.gov, or Google Dataset Search to find free datasets!


✅ Step 3: Build an Impressive Portfolio

Once you have projects, showcase them! Create:
📌 A GitHub repository to store your SQL/Python code
📌 A Tableau or Power BI Public Profile for dashboards
📌 A Medium or LinkedIn post explaining your projects

A strong portfolio = More job opportunities! 💡


✅ Step 4: Get Hands-On Experience

If you don’t have experience, create your own!
📌 Do freelance projects on Upwork/Fiverr
📌 Join an internship or volunteer for NGOs
📌 Participate in Kaggle competitions
📌 Contribute to open-source projects

Real-world practice > Theoretical knowledge!


✅ Step 5: Optimize Your Resume & LinkedIn Profile

Your resume should highlight:
✔️ Skills (SQL, Python, Power BI, etc.)
✔️ Projects (Brief denoscriptions with links)
✔️ Certifications (Google Data Analytics, Coursera, etc.)

Bonus Tip:
🔹 Write "Data Analyst in Training" on LinkedIn
🔹 Start posting insights from your learning journey
🔹 Engage with recruiters & join LinkedIn groups


✅ Step 6: Start Applying for Jobs

Don’t wait for the perfect job—start applying!
📌 Apply on LinkedIn, Indeed, and company websites
📌 Network with professionals in the industry
📌 Be ready for SQL & Excel assessments

Pro Tip: Even if you don’t meet 100% of the job requirements, apply anyway! Many companies are open to hiring self-taught analysts.

You don’t need a fancy degree to become a Data Analyst. Skills + Projects + Networking = Your job offer!

🔥 Your Challenge: Start your first project today and track your progress!

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Hope it helps :)

NTT DATA is hiring!
Position: Data & Analytics Consultant
Qualifications: Bachelor’s/ Master’s
Salary: 5 - 10 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore, India

📌Apply Now: https://nttdata.eightfold.ai/careers/job/563327923289106?domain=nttdata.com&hl=en

👉WhatsApp Channel: https://whatsapp.com/channel/0029Vaxjq5a4dTnKNrdeiZ0J

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All the best 👍👍

Curefit is hiring Business Analyst 🚀

Experience : 2+ Years
Location : Bangalore

Appy link : https://www.linkedin.com/jobs/view/4237403613

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Gainwell Technologies is hiring!
Position: Business Analyst
Qualification: Bachelor’s Degree
Salary: 6 - 10 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore; Chennai, India

📌Apply Now: https://jobs.gainwelltechnologies.com/job/Chennai-Business-Analyst-TN-600032/1293226300/

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Snapmint is hiring Data Analyst 🚀

Experience : 1+ Year
Location : Bangalore

Apply link : https://www.instahyre.com/job-371690-data-analyst-at-snapmint-bangalore/?utm_source=linkedin&utm_medium=listing&utm_campaign=linkedin_apply&utm_content=371690

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PhonePE is hiring Business Analyst 🚀

Experience : 1 Year
Location : Bangalore

Apply link : https://app.greenhouse.io/embed/job_app?token=6576814003&gh_src=961e65dc3us

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All the best 👍👍

9 tips to get started with Data Analysis:

Learn Excel, SQL, and a programming language (Python or R)

Understand basic statistics and probability

Practice with real-world datasets (Kaggle, Data.gov)

Clean and preprocess data effectively

Visualize data using charts and graphs

Ask the right questions before diving into data

Use libraries like Pandas, NumPy, and Matplotlib

Focus on storytelling with data insights

Build small projects to apply what you learn

Data Science & Machine Learning Resources: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D

ENJOY LEARNING 👍👍

NatWest Group is hiring!
Position: Data & Analytics Analyst
Qualification: Bachelor’s/ Master’s Degree
Salary: 6.5 - 10 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore; Gurugram, India (Hybrid)

📌Apply Now: https://jobs.natwestgroup.com/jobs/15705779-data-and-analytics-analyst

https://jobs.natwestgroup.com/jobs/15705778-data-and-analytics-analyst

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All the best 👍👍

Infosys hiring Data Engineer

Apply link: https://career.infosys.com/jobdesc?jobReferenceCode=INFSYS-EXTERNAL-214985&sourceId=4003

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JP Morgan Chase hiring Client Data Analyst

Apply link: https://JPMorganChase.contacthr.com/147686969

👉WhatsApp Channel: https://whatsapp.com/channel/0029Vaxjq5a4dTnKNrdeiZ0J

👉Telegram Link: https://news.1rj.ru/str/addlist/4q2PYC0pH_VjZDk5

All the best 👍👍

NatWest Group is hiring!
Position: Data & Analytics Analyst
Qualification: Bachelor’s/ Master’s Degree
Salary: 6.5 - 10 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bangalore; Gurugram, India (Hybrid)

📌Apply Now: https://jobs.natwestgroup.com/jobs/15705779-data-and-analytics-analyst

https://jobs.natwestgroup.com/jobs/15705778-data-and-analytics-analyst

👉WhatsApp Channel: https://whatsapp.com/channel/0029Vaxjq5a4dTnKNrdeiZ0J

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All the best 👍👍

SQL Essential Concepts for Data Analyst Interviews ✅

1. SQL Syntax: Understand the basic structure of SQL queries, which typically include SELECT, FROM, WHERE, GROUP BY, HAVING, and ORDER BY clauses. Know how to write queries to retrieve data from databases.

2. SELECT Statement: Learn how to use the SELECT statement to fetch data from one or more tables. Understand how to specify columns, use aliases, and perform simple arithmetic operations within a query.

3. WHERE Clause: Use the WHERE clause to filter records based on specific conditions. Familiarize yourself with logical operators like =, >, <, >=, <=, <>, AND, OR, and NOT.

4. JOIN Operations: Master the different types of joins—INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN—to combine rows from two or more tables based on related columns.

5. GROUP BY and HAVING Clauses: Use the GROUP BY clause to group rows that have the same values in specified columns and aggregate data with functions like COUNT(), SUM(), AVG(), MAX(), and MIN(). The HAVING clause filters groups based on aggregate conditions.

6. ORDER BY Clause: Sort the result set of a query by one or more columns using the ORDER BY clause. Understand how to sort data in ascending (ASC) or descending (DESC) order.

7. Aggregate Functions: Be familiar with aggregate functions like COUNT(), SUM(), AVG(), MIN(), and MAX() to perform calculations on sets of rows, returning a single value.

8. DISTINCT Keyword: Use the DISTINCT keyword to remove duplicate records from the result set, ensuring that only unique records are returned.

9. LIMIT/OFFSET Clauses: Understand how to limit the number of rows returned by a query using LIMIT (or TOP in some SQL dialects) and how to paginate results with OFFSET.

10. Subqueries: Learn how to write subqueries, or nested queries, which are queries within another SQL query. Subqueries can be used in SELECT, WHERE, FROM, and HAVING clauses to provide more specific filtering or selection.

11. UNION and UNION ALL: Know the difference between UNION and UNION ALL. UNION combines the results of two queries and removes duplicates, while UNION ALL combines all results including duplicates.

12. IN, BETWEEN, and LIKE Operators: Use the IN operator to match any value in a list, the BETWEEN operator to filter within a range, and the LIKE operator for pattern matching with wildcards (%, _).

13. NULL Handling: Understand how to work with NULL values in SQL, including using IS NULL, IS NOT NULL, and handling nulls in calculations and joins.

14. CASE Statements: Use the CASE statement to implement conditional logic within SQL queries, allowing you to create new fields or modify existing ones based on specific conditions.

15. Indexes: Know the basics of indexing, including how indexes can improve query performance by speeding up the retrieval of rows. Understand when to create an index and the trade-offs in terms of storage and write performance.

16. Data Types: Be familiar with common SQL data types, such as VARCHAR, CHAR, INT, FLOAT, DATE, and BOOLEAN, and understand how to choose the appropriate data type for a column.

17. String Functions: Learn key string functions like CONCAT(), SUBSTRING(), REPLACE(), LENGTH(), TRIM(), and UPPER()/LOWER() to manipulate text data within queries.

18. Date and Time Functions: Master date and time functions such as NOW(), CURDATE(), DATEDIFF(), DATEADD(), and EXTRACT() to handle and manipulate date and time data effectively.

19. INSERT, UPDATE, DELETE Statements: Understand how to use INSERT to add new records, UPDATE to modify existing records, and DELETE to remove records from a table. Be aware of the implications of these operations, particularly in maintaining data integrity.

20. Constraints: Know the role of constraints like PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL, and CHECK in maintaining data integrity and ensuring valid data entry in your database.

Here you can find SQL Interview Resources👇
https://news.1rj.ru/str/DataSimplifier

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