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Wipro Hiring Data Analyst L2 in Bengaluru (1–3 Years Experience) | GCP Data Engineering | Placement Officer

 

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Wipro Data Analyst L2 recruitment banner highlighting Bengaluru location

🚀 Wipro Hiring Data Analyst L2 in Bengaluru (1–3 Years Experience) | GCP Data Engineering | Placement Officer

📌 Quick Summary

Looking for an exciting Data Analyst job in Bengaluru? Wipro Limited has announced openings for the Data Analyst L2 role in Bengaluru, Karnataka. This opportunity is ideal for professionals with 1–3 years of experience and expertise in GCP Data Engineering, Data Analytics, SQL, Reporting, Dashboards, and Business Intelligence.

As a Data Analyst at Wipro, you'll work on analyzing large datasets, creating dashboards, developing predictive models, automating reporting processes, and delivering actionable insights that support business decisions. If you're passionate about data-driven problem solving and want to work with one of India's leading IT companies, this role offers excellent career growth and competitive compensation.


🌟 Wipro Recruitment 2026 | Data Analyst L2 | Bengaluru | Complete Job Details, Salary & Eligibility

📍 Job Overview

Particular

Details

Company

Wipro Limited

Position

Data Analyst L2

Job Type

Full-Time

Job Location

Bengaluru, Karnataka

Experience Required

1–3 Years

Department

Data Analytics

Industry

IT Services & Consulting

Mandatory Skill

GCP Data Engineering

Posting Date

14 June 2026


🏢 About Wipro

Wipro Limited (NYSE: WIT | NSE: WIPRO) is one of the world's leading technology services and consulting companies, helping businesses achieve digital transformation through consulting, engineering, cloud computing, AI, analytics, cybersecurity, and business operations.

🌍 Wipro at a Glance

·         Over 230,000 employees

·         Presence in 65+ countries

·         Global Fortune 500 clients

·         Strong focus on Cloud, AI, Data Engineering & Digital Transformation

·         Excellent learning ecosystem and career growth opportunities


💼 Job Role Overview

The Data Analyst L2 will transform raw business data into meaningful insights that drive strategic decision-making. You'll work with structured and unstructured datasets, create reports, dashboards, predictive models, and automate business reporting using modern analytics tools.

This role requires strong analytical thinking, business understanding, and expertise in Google Cloud Platform (GCP) Data Engineering.


🎯 Key Responsibilities

📊 Data Collection & Interpretation

·         Gather data from multiple sources

·         Work with data warehouses and databases

·         Perform data integration and modeling

·         Identify trends and business patterns


📈 Reporting & Visualization

Develop:

·         Interactive Dashboards

·         Business Reports

·         Data Visualizations

·         KPI Reports

·         Executive Dashboards


🤝 Client Collaboration

·         Understand client requirements

·         Present insights to stakeholders

·         Build long-term client relationships

·         Conduct account reviews


⚙ Process Automation

·         Automate reporting workflows

·         Improve operational efficiency

·         Build automated data pipelines

·         Maintain automated processes


📉 Data Analytics

Analyze:

·         Customer Data

·         Sales Data

·         Survey Results

·         Operational Metrics

·         Performance Indicators


🔮 Predictive Analytics

·         Build predictive models

·         Generate business insights

·         Support strategic planning

·         Benchmark industry performance


📚 Data Quality

·         Validate datasets

·         Clean inconsistent data

·         Improve data accuracy

·         Monitor quality standards


🎓 Eligibility Criteria

Education

Candidates with degrees in:

·         Computer Science

·         Information Technology

·         Data Science

·         Statistics

·         Mathematics

·         Engineering

·         Business Analytics

·         Related disciplines

are suitable for this role.


👨‍💻 Experience Required

✔ 1–3 Years

This role is ideal for:

·         Early Career Professionals

·         Junior Data Analysts

·         Business Analysts with Analytics Skills

·         Data Engineers looking to transition into analytics


🎯 Batches Eligible

Based on the required experience, the following graduation batches are the most suitable:

✅ 2023 Batch

✅ 2024 Batch

✅ Candidates with 1–3 years of relevant experience

Freshers are generally not eligible for this specific position due to the experience requirement.


💻 Mandatory Skills

✔ GCP Data Engineering


⭐ Preferred Technical Skills

·         SQL

·         Data Analytics

·         Google Cloud Platform (GCP)

·         Data Engineering

·         Business Intelligence

·         Data Visualization

·         Predictive Analytics

·         Data Warehousing

·         ETL Processes

·         Dashboard Development

·         Reporting Tools

·         Data Modeling

·         Excel (Advanced)

·         Python (Preferred)

·         BigQuery (Preferred)

·         Power BI/Tableau (Preferred)

·         KPI Reporting

·         Data Cleansing

·         Automation


🌟 Essential Soft Skills

·         Communication

·         Critical Thinking

·         Business Acumen

·         Analytical Mindset

·         Client Management

·         Team Collaboration

·         Presentation Skills

·         Attention to Detail

·         Problem Solving

·         Time Management


💰 Expected Salary (Internet Comparison)

Wipro has not officially disclosed the salary for this role. Based on market trends and similar Data Analyst positions in Bengaluru:

Experience

Expected Annual Salary

1 Year

5.5 – 7.5 LPA

2 Years

6.5 – 9 LPA

3 Years

8 – 11 LPA

🌍 Industry Comparison

Company

Expected Salary

Wipro

5.5–11 LPA

Infosys

5–9 LPA

TCS

5–8.5 LPA

Accenture

6–11 LPA

Cognizant

6–10 LPA

Capgemini

5.5–9 LPA

Note: Actual compensation depends on skills, interview performance, location, and project requirements.


📈 Why You Should Join Wipro

🌟 Global Brand Recognition

🌟 Hybrid & Modern Work Culture

🌟 Exposure to International Clients

🌟 Excellent Learning Platforms

🌟 Cloud & AI Projects

🌟 Career Growth Opportunities

🌟 Internal Certifications

🌟 Competitive Compensation

🌟 Work-Life Balance

🌟 Digital Transformation Projects


📋 Performance Metrics

Success in this role will be measured by:

·         Data Accuracy

·         Automation Initiatives

·         On-Time Delivery

·         Customer Satisfaction (CSAT)

·         Zero Escalations

·         KPI Achievement

·         Reporting Quality


🚀 Selection Process

Candidates can expect the following hiring stages:

1.    Online Application

2.    Resume Screening

3.    Technical Assessment

4.    GCP/Data Analytics Interview

5.    Managerial Interview

6.    HR Discussion

7.    Offer Letter


💡 Pro Tips to Get Selected

✅ Learn Google Cloud Platform (GCP) fundamentals, especially BigQuery and Dataflow.

✅ Strengthen your SQL skills by solving real-world business queries on platforms like LeetCode, HackerRank, and StrataScratch.

✅ Build portfolio projects showcasing dashboards in Power BI or Tableau.

✅ Gain hands-on experience with Python for data analysis (Pandas, NumPy, Matplotlib).

✅ Highlight any automation, ETL, or cloud-based projects in your resume.

✅ Prepare case studies on business problem-solving using data.

✅ Quantify achievements in your resume (e.g., "Reduced reporting time by 40% through automation").

✅ Tailor your resume using the ATS keywords below.


📄 ATS-Friendly Resume Keywords

Include these keywords naturally throughout your resume:

·         Data Analyst

·         GCP Data Engineering

·         Google Cloud Platform

·         SQL

·         Data Warehousing

·         ETL

·         Data Integration

·         Business Intelligence

·         Dashboard Development

·         Data Visualization

·         Predictive Analytics

·         KPI Reporting

·         Data Cleansing

·         Automation

·         BigQuery

·         Data Modeling

·         Reporting Tools

·         Business Analytics

·         Process Optimization

·         Cloud Analytics

 

🎯 Why This Job is Unique

✨ Opportunity to work on enterprise-scale digital transformation projects.

✨ Exposure to cloud-native analytics using GCP.

✨ Build predictive models and automation solutions.

✨ Collaborate with global clients across industries.

✨ Strong focus on business intelligence and data-driven decision-making.


❓ Frequently Asked Questions (FAQs)

Q1. What is the role offered by Wipro?

Data Analyst L2.

Q2. Where is the job located?

Bengaluru, Karnataka.

Q3. Is this role for freshers?

No. Candidates should have 1–3 years of relevant experience.

Q4. What is the mandatory technical skill?

GCP Data Engineering.

Q5. What are the key responsibilities?

Data analysis, dashboard creation, predictive modeling, reporting, process automation, and client collaboration.

Q6. What is the expected salary?

Approximately 5.5–11 LPA, depending on experience and skills.

Q7. Is SQL required?

Yes. Strong SQL proficiency is highly recommended.

Q8. What cloud platform knowledge is expected?

Google Cloud Platform (GCP), particularly Data Engineering concepts.


🏁 Conclusion

The Wipro Data Analyst L2 opportunity is an excellent career move for professionals with 1–3 years of experience who are looking to build expertise in Data Analytics, GCP Data Engineering, Business Intelligence, and Predictive Analytics. Working at Wipro provides exposure to global clients, cutting-edge digital transformation projects, and strong career growth in the analytics domain.

If you have a passion for transforming data into actionable insights and want to work with one of the world's leading IT consulting firms, this is an opportunity worth pursuing. 

🔗 Apply Link: Click Here To Apply for Wipro 

 

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The recruitment details shared above are for informational purposes only and have been obtained from the organization’s official website. We do not guarantee any job placements. Recruitment will be conducted according to the company's official process. We do not charge any fees for sharing this job information.

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