Data Analyst – L4 at Wipro | Requisition ID: 38810 | Analytics Careers in Bengaluru
📊 Career Opportunity at Wipro: Data Analyst – L4 | Requisition ID: 38810 | Bengaluru, India
Are you passionate about transforming raw data into actionable business insights? Do you enjoy working on end-to-end data analysis projects that drive strategic decision-making? If yes, Wipro Limited invites you to explore a rewarding opportunity as a Data Analyst – L4 in its Bengaluru office.
This high-impact role is designed for analytical thinkers who can extract meaningful patterns from large datasets and translate complex data into user-friendly visual reports, dashboards, and predictive insights. If you’re seeking a challenging yet fulfilling data analytics career with a globally recognized technology leader, this opportunity is tailor-made for you.
🌐 About Wipro
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in technology services and consulting. With a presence in over 65 countries and a workforce exceeding 230,000 employees and partners, Wipro is on a mission to accelerate digital transformation for businesses worldwide.
The company offers a comprehensive portfolio across consulting, engineering, operations, and design to help organizations modernize their operations, innovate at scale, and remain competitive in an ever-evolving marketplace. Visit www.wipro.com to learn more.
💼 Job Overview
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Job Title: Data Analyst – L4
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Requisition ID: 38810
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Company: Wipro Limited
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Location: Bengaluru, India
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Department: Analytics and Insights
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Employment Type: Full-time, Permanent
🎯 Role Purpose
As a Data Analyst, your primary responsibility is to collect, analyze, and interpret data, transforming it into meaningful insights that support strategic decisions. This includes building data models, designing dashboards, conducting performance analysis, and supporting automation initiatives.
The goal is to unlock business value by improving data-driven processes and making valuable recommendations that enhance operational efficiency and customer satisfaction.
🔑 Key Responsibilities
1. Data Collection & Interpretation
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Gather information from multiple data sources such as data warehouses, databases, and external tools.
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Identify patterns, trends, and anomalies using both structured and unstructured data.
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Set up and maintain automated data pipelines to support ongoing analysis.
2. Report Generation & Data Visualization
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Create visually compelling dashboards, charts, and graphs to showcase performance metrics.
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Build interactive data visualizations using tools like Power BI, Tableau, or QlikView.
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Deliver reports that support client account reviews, business proposals, and strategic planning.
3. Predictive Analytics & Modeling
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Use data mining techniques to draw meaningful insights from large datasets.
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Develop predictive models to forecast future business performance or customer behavior.
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Present your findings in a clear, concise, and business-friendly format to senior stakeholders.
4. Client Collaboration & Stakeholder Communication
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Liaise with both internal and external clients to understand data needs and align outputs with business objectives.
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Conduct detailed surveys and analyze the results to address specific client queries.
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Build long-term partnerships with business leaders, ensuring continuous value delivery through data.
5. Process Optimization & Automation
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Identify opportunities to increase efficiency and automate repetitive data processes.
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Set up and manage tools that enhance data validation and cleansing.
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Recommend and implement new software or services that boost reporting accuracy and speed.
6. Performance Tracking
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Define, monitor, and improve Key Performance Indicators (KPIs).
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Regularly audit data accuracy and escalate inconsistencies.
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Contribute to the continuous improvement of data management policies and record-keeping standards.
📈 Performance Metrics
Your performance will be measured by:
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On-time delivery of reports and insights
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Customer satisfaction scores (CSAT)
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Accuracy and efficiency of automated processes
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Zero escalation or data-related errors
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Number of successful process improvements and automation deployments
🧠 Essential Skills & Qualifications
✅ Must-Have Competencies:
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Strong experience in data analytics, reporting, and data visualization tools
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Proficiency in SQL, Excel, and at least one scripting language (e.g., Python or R)
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Sound understanding of data modeling and database design
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Excellent communication and interpersonal skills
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Strong attention to detail and ability to interpret complex datasets
📘 Educational Background:
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Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Mathematics, or related fields
⭐ Preferred Experience
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Experience working in consulting, IT services, or global delivery environments
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Familiarity with ETL (Extract, Transform, Load) tools and cloud platforms (AWS, Azure)
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Background in customer or sales analytics
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Experience in benchmarking analysis across industry sectors and competitors
📊 A Day in the Life
Each day, you will:
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Interact with client stakeholders to understand their data needs
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Extract and preprocess large volumes of raw data
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Create custom dashboards that monitor critical KPIs in real-time
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Collaborate with teams to optimize existing data pipelines
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Identify root causes behind performance variations
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Deliver recommendations backed by solid data and statistical modeling
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Participate in meetings to share findings and support strategic planning
Your work ensures that decision-makers across Wipro and its client organizations have the insights they need to make informed and impactful decisions.
🌟 Why Join Wipro as a Data Analyst?
1. Be Part of Global Innovation
Work with clients and colleagues across 65+ countries, applying your analytical skills to solve real-world challenges.
2. Drive Digital Transformation
Enable data-driven transformation for some of the world’s leading companies in finance, healthcare, telecom, and more.
3. Work on Cutting-Edge Projects
Gain exposure to AI/ML models, predictive analytics, and automation tools that are reshaping the future of analytics.
4. Grow with Purpose
Wipro offers structured learning paths, mentorship programs, and career development plans tailored to your aspirations.
5. Inclusive and Empowering Culture
Wipro is committed to diversity and inclusion, actively welcoming applications from individuals with disabilities and offering equal opportunities to all.
🧾 Salary & Benefits (Indicative)
While the exact compensation is role and experience dependent, candidates for Data Analyst – L4 at Wipro can expect:
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Annual CTC: ₹10–15 LPA (based on experience)
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Performance-based bonus
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Health insurance for employee and dependents
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Flexible work arrangements
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Internet and WFH allowance (if applicable)
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Retirement benefits and gratuity
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Skill development & certification sponsorship
🤝 Equal Opportunity Employer
At Wipro, inclusion is not an initiative—it’s a way of life. The company actively supports candidates from diverse backgrounds, including individuals with disabilities. All applicants are evaluated based on skills and potential, not limitations.
📌 How to Apply
Interested in joining Wipro’s Data Analytics team? Here’s how you can apply:
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Visit the official Wipro careers portal:
🔗 www.wipro.com/careers -
Search for Requisition ID: 38810 or Job Title: Data Analyst – L4
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Click “Apply Now” and create/log in to your candidate profile
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Upload your resume and relevant certifications
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Complete any assessments and await communication from the recruitment team
📢 Final Thoughts
The Data Analyst – L4 role at Wipro is more than a job; it’s an opportunity to be part of something bigger. You’ll use your analytical expertise to empower strategic decision-making, drive operational efficiencies, and shape digital transformation journeys for global clients.
If you’re ready to take the next step in your career as a data analytics professional, join Wipro and realize your boldest ambitions.