MIS Lead

Wipro; Gurugram District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Wipro in India is seeking an MIS Lead with people management experience to design, build, and maintain backend data pipelines and analytical datasets for large-scale operations. The role emphasizes advanced SQL, ETL, and data modelling within Google's data ecosystem, delivering reliable datasets and dashboards.

You will partner with stakeholders to translate requirements into scalable data models and dashboards, using Looker Studio for insights and performance monitoring, and ensuring accuracy

Qualifications

• 8–10 years of hands-on experience in backend data engineering or analytics roles with people management experience.
• 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 servicing enterprise clients.

Responsibilities

• Design, develop, and maintain robust SQL-based data pipelines supporting ETL workflows.
• Analyze complex datasets to identify trends and insights relevant to business needs.
• Build and maintain PLX dashboards and analytics views for stakeholders using Looker Studio.

Skills

Advanced SQL

ETL pipelines

Data modelling

PLX scripts

Dashboard development

Python/JavaScript

Education

Any Graduate

Tools

Looker Studio

Google Apps Script

Job description

Job Description:

Job description:

Job Description

Job Title

MIS Lead (People Management/Team Handling experience is must)

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

• 8–10 years of hands‑on experience in backend data engineering or analytics roles with people management experience.
• 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

Profile description

Job Title

MIS Lead (People Management/Team Handling experience is must)

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.

Requirements