Data Analyst L4, Wipro

February 18, 2026

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Job Description

Wipro is hiring an experienced Data Analyst L4 to manage end-to-end data analysis, reporting, and visualization initiatives that support strategic business decision-making. This role focuses on interpreting complex datasets, building automated data processes, creating dashboards and reports, and delivering actionable insights for internal and external stakeholders.

Date Posted: December 17, 2025

Expiration Date: NA

Experience: 5–8 Years

Job ID: NA

Role: Data Analyst L4

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Primary Responsibilities

  • Oversee all technical requirements for data projects throughout their entire execution process. 
  • Collect data from warehouses and databases and integration systems to analyze and interpret the collected information. 
  • Establish and maintain client relationships to determine their analytical needs. 
  • Provides stakeholders with sales data and proposals and insights and account-level analytics. 
  • Find areas that require automation and testing to enhance operational efficiency. 
  • Builds and operates data processing pipelines that run automatically. 
  • Use various tools and services to perform data validation and cleaning operations. 
  • Establish performance metrics which they will monitor and report upon. 

Data Analysis & Reporting Responsibilities

  • Collaborate with both internal and external parties to assess data requirements and project objectives. 
  • Design surveys and evaluates their results according to business needs. 
  • Use business analytics tools to analyze complex datasets and produce reports. 
  • Create interactive dashboards which include graphs and visualizations to monitor performance. 
  • Conducts data mining activities to uncover insights which they present to leadership through reporting platforms. 
  • Creates predictive models which help them provide valuable recommendations to clients. 

Qualifications Required

  • Candidates need to have 5 to 8 years of experience in data analysis or business analytics positions. 
  • Display advanced skills in interpreting data and producing reports and creating visual content. 
  • Practical experience using Google BigQuery which is an essential requirement.\
  • Demonstrates expertise in handling extensive datasets while providing precise analytical results. 
  • Strong skills in communication and problem-solving while managing relationships with stakeholders.