Data Analyst

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 largescale business operations. The position focuses on advanced SQL development ETL processes and data modelling along with analytical insights and dashboard creation using Googles data ecosystem.

The role works closely with stakeholders handling structured data at scale and enabling datadriven decisionmaking through reliable wellgoverned datasets and dashboards.

It is a core backend data engineering and analytics role.

Key Roles & Responsibilities

Data Engineering & ETL

• Design develop and maintain robust SQLbased data pipelines supporting ETL workflows.
• Work extensively on advanced SQL (Google SQL / BigQuerystyle 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 crossfunctional 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

• 46years of handson experience in backend data engineering or analytics roles
• Strong experience working with advanced SQL in largescale data environments
• Proven experience with ETL processes and data pipeline development
• Experience working in structured processdriven 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
• Handson experience with PLX scripts and PLX dashboards
• Strong analytical and problemsolving 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