Wipro Recruitment 2026: Data Analyst L2 Role in Bengaluru
Wipro Limited, a renowned global leader in technology services and consulting, is actively seeking dynamic and skilled professionals for the position of Data Analyst L2. This role is based in the vibrant tech hub of Bengaluru, Karnataka. If you possess 1 to 3 years of experience in data analytics and have a strong foundation in Google Cloud Platform (GCP) Data Engineering, this is an exceptional opportunity to elevate your career with one of the world's most respected IT multinational corporations.
In today's data-driven business landscape, organizations rely heavily on actionable insights to navigate complex challenges and seize new opportunities. As a Data Analyst L2 at Wipro, you will play a pivotal role in transforming raw, unstructured data into meaningful reports, interactive dashboards, and strategic visualizations. This position offers a perfect blend of technical execution, business intelligence, and client-facing collaboration, allowing you to make a tangible impact on business decisions and operational efficiency.
Job Overview Table
| Specification | Details |
|---|---|
| Company Name | Wipro Limited |
| Job Role | Data Analyst L2 |
| Experience Required | 1 - 3 Years |
| Job Location | Bengaluru, Karnataka, India |
| Eligibility Criteria | B.E / B.Tech / MCA / M.Sc / BCA / B.Sc (Graduates with relevant experience) |
| Mandatory Skill | GCP Data Engineering |
| Salary Package | Not Disclosed (Best in Industry) |
| Posting Date | June 14, 2026 |
About Wipro Limited
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading global information technology, consulting, and business process services company. Wipro is dedicated to building innovative solutions that address clients' most complex digital transformation needs. By leveraging a comprehensive portfolio of capabilities spanning consulting, design, engineering, and operations, Wipro helps clients realize their boldest ambitions and build future-ready, sustainable enterprises.
With a massive global footprint of over 230,000 employees and business partners operating across 65 countries, Wipro is a powerhouse of technological innovation. The company fosters a culture of continuous learning, reinvention, and inclusivity. Working at Wipro means being part of a purpose-driven organization that empowers its employees to design their own career paths while contributing to communities and businesses worldwide.
Detailed Job Description & Responsibilities
As a Data Analyst L2 at Wipro, your primary mission is to interpret complex datasets and turn them into actionable business intelligence. You will work closely with cross-functional teams, data engineers, and business stakeholders to design and implement robust reporting systems. Your day-to-day responsibilities will include:
- Technical Scope Management: Manage the technical scope of data projects in alignment with business requirements across all development stages. This includes gathering information from diverse sources such as data warehouses, relational databases, and data integration pipelines.
- Data Interpretation & Modeling: Analyze complex datasets to identify underlying patterns, trends, and anomalies. You will develop and implement record management processes and policies to ensure data integrity and compliance.
- Client Relationship Management: Build and maintain strong, collaborative relationships with internal and external clients. You will work to deeply understand their business requirements and provide them with tailored data insights, sales proposals, and account reviews.
- Process Automation: Proactively identify areas within the data lifecycle to increase efficiency and automation. You will set up, monitor, and maintain automated data pipelines and scheduled reporting workflows.
- Data Validation & Cleansing: Identify, evaluate, and implement external tools and services to support rigorous data validation and cleansing, ensuring that the business operates on high-quality, reliable data.
- Performance Tracking: Produce, track, and analyze key performance indicators (KPIs) to measure business success and operational performance.
- Visualization & Reporting: Create highly interactive data dashboards, graphs, and visual representations using modern business intelligence tools to showcase performance and provide competitor benchmarking.
- Predictive Modeling: Develop basic predictive models and share forward-looking insights with clients to help them anticipate market trends and customer behaviors.
Detailed Eligibility Criteria
To be considered for the Data Analyst L2 position, candidates must meet the following eligibility requirements:
- Educational Background: A Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, MCA, or a related engineering discipline. Candidates with other degrees who possess strong, demonstrable experience in data analytics are also encouraged to apply.
- Professional Experience: 1 to 3 years of hands-on experience working in a data analyst, data engineer, or business intelligence role.
- Technical Expertise: Strong familiarity with cloud-based data environments, specifically Google Cloud Platform (GCP).
- Academic Performance: A consistent academic record (60% or above in 10th, 12th, and Graduation) is preferred, with no active backlogs at the time of application.
Required Skills & Preferred Qualifications
The ideal candidate for this role should possess a robust technical toolkit combined with strong analytical and communication skills. Key requirements include:
- GCP Data Engineering (Mandatory): Solid understanding of Google Cloud Platform services such as BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Composer, and Google Cloud Storage. Experience in building and managing data pipelines on GCP is highly critical.
- SQL & Database Management: Advanced proficiency in writing complex SQL queries, optimizing database performance, and working with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases.
- Data Visualization Tools: Hands-on experience with modern BI and visualization tools such as Looker, Tableau, Power BI, or Google Looker Studio to build intuitive dashboards.
- Data Mining & Analytics: Strong ability to mine large datasets, draw valid statistical inferences, and present findings clearly to non-technical stakeholders.
- Programming Skills: Basic to intermediate knowledge of programming languages like Python or R for data manipulation and predictive modeling is a significant advantage.
- Soft Skills: Excellent communication, presentation, and interpersonal skills. The ability to translate complex technical findings into clear business recommendations is essential.
Wipro Selection Process
Wipro follows a structured and comprehensive selection process to identify the best talent. The typical recruitment workflow for the Data Analyst L2 position includes:
- Resume Screening: Initial shortlisting based on educational qualifications, relevant experience, and alignment with mandatory skills (GCP Data Engineering).
- Technical Assessment / Interview: A deep-dive technical round focusing on SQL, GCP services, data warehousing concepts, and data visualization techniques. Candidates may be asked to solve real-world data scenarios.
- Managerial Round: An interview with the hiring manager to assess problem-solving capabilities, project experience, and situational judgment.
- HR Interview: The final round to discuss salary expectations, cultural fit, job location, and company policies.
How to Apply
If you are ready to take the next step in your career and join Wipro's global team of innovators, follow the instructions below to submit your application:
- Click on the Apply Now button below to visit the official Wipro Careers page for this job posting.
- Read through the job description and requirements carefully once again on the official portal.
- Click on the "Apply now" button on Wipro's page.
- Fill in your personal details, educational background, and professional experience.
- Upload your updated resume highlighting your GCP Data Engineering and Data Analytics experience.
- Submit your application and keep track of your registered email for further communication from Wipro's recruitment team.