Data Analytics Engineer

Summary

Join our team as a Data Analytics Engineer and build data solutions using Microsoft Azure Data stack and Power BI, SSRS, Azure Analytics Services. Collaborate with business users to understand BI requirements and translate data into meaningful insights. Share your expertise in Microsoft BI tools and contribute to a dynamic team. This role requires 3-5 years of experience with Microsoft Azure and reporting tools, strong knowledge of data modeling, and proficiency in SQL/PLSQL. You will create dashboards, reports, and design data models to deliver actionable insights. We offer competitive pay, performance-based bonuses, unlimited paid time off, and a comprehensive benefits package.

Requirements

• 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

Responsibilities

• 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
• 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
• Optimize performance for reports
• Customize widgets and dashboards for better UX/UI designs

Preferred Qualifications

Concepts of Data Domains, Data Products in BI context is huge plus

Benefits

• Competitive pay with and performance-based bonus
• Unlimited paid time off
• Flexible and affordable benefits program designed to help you be and stay well, including: medical, dental & vision coverage, flexible spending accounts, health reimbursement account, and a 401(k) plan with a company match