Data Analyst

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.
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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
4–5 years 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
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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
Profile 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.

Work arrangement
No