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Data Analytics Engineer at HSO. As a Data Analytics Engineer you can expect to…. . Participate and work among teams to build data solutions using Microsoft Azure Data stack and Power BI, SSRS, Azure Analytics Services etc. . Work with Business users to understand BI requirements and tell stories with their data. . Share ideas and help other to understand data and tools in the Microsoft BI stack. . . Sound interesting? If so, you’ll have…. . 3 to 5 years working with Microsoft Azure & Reporting tools like Power BI, SSRS in a analytics engineer role with a sound knowledge of data modeling, dimensional modeling, business intelligence, SQL/PLSQL and Performance optimization. . Strong knowledge on Common Data Model (CDM), Dataverse, and Power BI Data Flows, as well as Git and GitHub. . Experience with Power BI external tools – Dax Studio and Tabular Editor. . Knowledge with data platforms, data warehouses, Data Lake, and ETL. . Ability to use SQL, T-SQL stored procedures. . Experience with Azure DevOps, JIRA or similar agile development planning tools. . Understanding of Cloud concepts – IaaS, PaaS, SaaS. . A curious research mindset finding and recommending solutions based on experience and learning. . . DAX. . Understand business requirements in the BI context and design data models to convert raw data to meaningful insights.. . Create dashboards and visual interactive reports using Power BI.. . Identify KPIs with clear objectives and monitor them consistently.. . Analyze data and present it through reports that can help in decision-making.. . Make technical changes to existing BI systems to enhance their functionality.. . Design Symantec layer for enterprise analytics. . Concepts of Data Domains, Data Products in BI context is huge plus. . Optimize performance for reports. . Customize widgets and dashboards for better UX/UI designs. . Company Location: United States.