MIS Lead

Job description:

Job Description

 

Job Title: MIS Lead (Individual Contributor Role) 

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.

Note: Excellent communication skills are essential for this role.

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Key Roles & Responsibilities

Data Engineering & ETL

• Design, develop, and maintain robust SQLâ based data pipelines supporting ETL workflows.
• Work extensively on advanced SQL (Google SQL / BigQueryâ 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 crossâ 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.

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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

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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

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Mandatory Skills: HRO .

 

Experience: 8+ 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.

Profile description:

Job Title: MIS Lead (Individual Contributor Role) 

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.

͏(Excellent communication skills)