Build analytics on Power BI & Tableau that utilize the data pipeline to provide actionable insights into operational efficiency and other key business/technical performance metrics
Identify, analyze, and interpret trends or patterns in complex data
Transform analyses into concrete, actionable recommendations to drive decision-making
Responsible for correlating multiple metrics to show dependency and impact of changes in KPI
Responsible for development, update, upgrade and maintenance of analytical models and dashboards
Gather and process raw data at scale that meet functional / non-functional business requirements (including writing scripts, REST API calls, SQL Queries, etc.)
Responsible for developing data set processes for data modeling, mining etc
Develop complex SQL queries as required to support the analytics models & associated dashboards
Exercise cost consciousness in data compute & storage usage
Requirements
Overall experience 6+ years in IT
4+ years of experience in Business Intelligence, Data Engineering and analytics, or related roles
Comfortable to maneuver through Azure cloud services and offerings
Hands-on experience with creating analytical models & dashboards in PowerBI and Tableau
Develop in Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake as and when required
Understand and adopt best practices in data engineering, data modeling and data integration to ensure the reliability, scalability, and performance of data solutions
Good data analytical skills to analyze data and understand requirements of application and business teams
Excellent knowledge experience in writing complex SQL and Kusto queries
Experience in Agile/Scrum methodologies and project management tools such as Jira