Data Analyst

Wipro Technologies

Gurugram District

On-site

INR 1,800,000 - 2,800,000

Full time

7 days ago
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Job summary

Wipro Limited is seeking an Assistant Manager in Data Analytics to design, build, and maintain backend data pipelines and analytics datasets. The role emphasizes advanced SQL development, ETL processes, data modelling, and dashboard creation using Looker Studio.

You will collaborate with stakeholders to deliver reliable datasets and dashboards, supporting data-driven decision making in a core backend data engineering and analytics capacity.

Qualifications

  • 4–6 years of hands-on experience in backend data engineering or analytics roles.
  • Strong experience with advanced SQL in large-scale data environments.
  • Proven experience with ETL processes and data pipeline development.
  • Experience in structured, process-driven environments supporting enterprise clients.

Responsibilities

  • Data Engineering & ETL: Design, develop, and maintain robust SQL-based data pipelines supporting ETL workflows.
  • Data Analysis & Analytics Enablement: Analyze complex datasets to identify trends, translate requirements into optimized datasets and data models.
  • Dashboarding & Visualization: Build and maintain PLX dashboards and Looker Studio-based views for stakeholders.

Skills

Advanced SQL
ETL concepts
Data modeling
PLX scripts
PLX dashboards
Looker Studio
Python
JavaScript

Education

Engineering/CS background

Tools

Google Workspace
Google Apps Script
Looker Studio

Job description

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description:

Job Description

Job Title: Assistant Manager

Job Family - Data Analytics

Role Overview: The role is responsible for designing, building, and maintaining backend data pipelines and analytical datasets that support large‑scale business operations. The position focuses on advanced SQL development, ETL processes, and data modelling, along with analytical insights and dashboard creation using Google’s data ecosystem.

The role works closely with stakeholders, handling structured data at scale and enabling data‑driven decision‑making through reliable, well‑governed datasets and dashboards.

It is a core backend data engineering and analytics role.

Key Roles & Responsibilities

Data Engineering & ETL

  • Design, develop, and maintain robust SQL‑based data pipelines supporting ETL workflows.
  • Work extensively on advanced SQL (Google SQL / BigQuery‑style SQL) for data extraction, transformation, and aggregation.
  • Develop and optimize PLX scripts for backend data processing and automation.

Data Analysis & Analytics Enablement

  • Analyze complex datasets to identify trends, patterns, and insights relevant to business and operational needs.
  • Translate analytical requirements into optimized datasets and data models.
  • Partner with cross‑functional teams to understand data requirements and deliver scalable solutions.

Dashboarding & Visualization

  • Build and maintain PLX dashboards and analytical views for stakeholders.
  • Develop dashboards using Looker Studio (preferred) for insights and performance monitoring.
  • Ensure dashboards are accurate, scalable, and aligned to defined metrics and business logic.

Education

  • Any Graduate (Engineering / Computer Science / Mathematics / Statistics preferred)

Experience

Must Have

  • 4–6years of hands‑on experience in backend data engineering or analytics roles
  • Strong experience working with advanced SQL in large‑scale data environments
  • Proven experience with ETL processes and data pipeline development
  • Experience working in structured, process‑driven environments supporting enterprise clients

Technical Skills

Must Have

  • Advanced SQL (complex joins, CTEs, window functions, performance tuning)
  • Strong understanding of ETL concepts, data modeling, and data transformations
  • Hands‑on experience with PLX scripts and PLX dashboards
  • Strong analytical and problem‑solving skills

Good to Have

  • Experience with Google Workspace tools (Docs, Sheets, Slides)
  • Google Apps Script for automation
  • Looker Studio for dashboarding and analytics
  • Programming/scripting experience in Python, JavaScript, or VBA

Mandatory Skills: HRO.Experience: 3-5 Years.Reinvent your world. We are building a modern Wipro. We are an end‑to‑end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.

Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.

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