Happiest Minds - Senior Domain Analyst - Power BI

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-end?from 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 (ref:hirist.tech)