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Happiest Minds Technologies

Happiest Minds - Senior Domain Analyst - Power BI

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Job Description

About The Job

We are looking for a hands-on Domain Analytics professional to deliver end-to-end analytics solutions that turn business questions into actionable insights. You will work closely with business stakeholders across requirements, data preparation, advanced analytics, and dashboard delivery, while enabling self-service analytics and lightweight business applications.

Key Responsibilities

  • Partner with business users to gather requirements and translate them into impactful Power BI dashboards and insights.
  • Design, build, and optimise Power BI reports and semantic models, including DAX, performance tuning, and security.
  • Prepare, transform, and curate data using Microsoft Fabric and Databricks, implementing scalable ETL/ELT pipelines.
  • Build and support Power Apps (standalone or embedded with Power BI) to enable simple workflows, data capture, and operational use cases.
  • Perform exploratory data analysis, advanced analytics, and basic machine learning (e.g. trend analysis, segmentation, predictive indicators).
  • Support deployment, user enablement, and self-service analytics through training and Skills & Experience :
  • Strong experience in Power BI development, including data modelling, DAX, and performance optimisation.
  • Working knowledge of Power Apps, including building forms or lightweight apps that integrate with Power BI and data sources.
  • Proficiency with Microsoft Fabric and modern analytics architectures.
  • Hands-on experience with Databricks for data transformation, advanced analytics, and ML-ready data preparation.
  • Strong SQL and Python skills for data engineering, analysis, and basic machine learning workflows.
  • Ability to work end-to-endfrom requirements gathering to deployment and support.

Nice To Have

  • Experience in the insurance industry or other regulated environments.

Key Skills

  • Power BI
  • Power Apps
  • Microsoft Fabric
  • Databricks
  • SQL
  • Python
  • ETL/ELT
  • DAX
  • Data Modelling
  • Analytics
  • Machine Learning

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Job ID: 147535029