Description:

As a Data Analytics Engineer, you will participate and work among teams to build data solutions using the Microsoft Azure Data stack and tools such as Power BI, SSRS, and Azure Analytics Services.
You will work with business users to understand their BI requirements and help them tell stories with their data.
You will share ideas and assist others in understanding data and tools within the Microsoft BI stack.

Requirements:

You should have 3 to 5 years of experience working with Microsoft Azure and reporting tools like Power BI and SSRS in an analytics engineer role, with a solid understanding of data modeling, dimensional modeling, business intelligence, SQL/PLSQL, and performance optimization.
A strong knowledge of the Common Data Model (CDM), Dataverse, and Power BI Data Flows is required, along with familiarity with Git and GitHub.
Experience with Power BI external tools such as Dax Studio and Tabular Editor is necessary.
You should have knowledge of data platforms, data warehouses, Data Lakes, and ETL processes.
The ability to use SQL and T-SQL stored procedures is essential.
Experience with Azure DevOps, JIRA, or similar agile development planning tools is required.
An understanding of cloud concepts such as IaaS, PaaS, and SaaS is important.
A curious research mindset for finding and recommending solutions based on experience and learning is expected.

We offer competitive pay along with a performance-based bonus.
Employees enjoy unlimited paid time off and a flexible, affordable benefits program designed to promote well-being, including medical, dental, and vision coverage, flexible spending accounts, a health reimbursement account, and a 401(k) plan with a company match.
You will have the opportunity to work alongside enthusiastic and energetic teammates in a dynamic and thriving environment.
HSO is an Equal Opportunity Employer.