Description
Role Overview
We are seeking an Analytics Engineer to design, build, and operate our analytics and automations as well as build of AI-powered automations and copilots using governed enterprise data. This role is responsible for delivering high-quality Power BI reporting, establishing and maintaining Microsoft Fabric and/or GCP BigQuery, and building business automations and applications using Python, Power Automate and Power Apps.
You will be part of the Cloud & Service Management organization helping to evolve our self-service analytics, scalable data architecture, and automations—while ensuring security, performance, and governance across the platform.
This is a hands-on role with ownership of both solution delivery and platform best practices.

Key Responsibilities
Analytics & Reporting
Design, develop, and maintain reports and dashboards
Build and optimize semantic models using solid dimensional modeling (star schema)
Write and tune DAX measures with a focus on performance and usability




Implement Power BI and Looker deployment pipelines and promote content across settings

Microsoft Fabric Platform
Establish and maintain Microsoft Fabric architecture, including:
Lakehouse and/or Warehouse
Dataflows Gen2
OneLake data organization
Manage Fabric capacities, workspaces, and permissions
Monitor performance, cost, and reliability of Fabric workloads
Develop and maintain Python-based data transformations and notebooks within Fabric
Use Python for data preparation, enrichment, validation, and advanced analytics
Define and enforce data modeling and medallion architecture standards

Automation & Applications
Build and maintain automation flows for business processes, approvals, and integrations
Work with Dataverse, connectors, and security roles
Implement error handling, logging, and operational support patterns

Platform Governance & Operations
Define Dev/Test/Prod workplace strategy for reporting and automation platfo

📌 Staff Data Engineer Bengaluru (India)
🏢 Pearson
📍 India