Job Summary
The Analytics Engineer works in the IT data team to build clean data sets & solutions for the business using technologies available within Microsoft Fabric. In this role, the Analytics Engineer reports to the Business Intelligence Manager & actively collaborates with business stakeholders, BI analysts, & others to design, implement, & maintain data systems and solutions.
Principal Duties and Responsibilities
- Build, maintain, & optimize ETL data pipelines
- Build, maintain, & optimize corporate semantic models
- Address IT tickets & troubleshoot system performance
- Perform administrative duties to maintain the current data environment
- Assist, as needed, with the development of reports and other solutions
- Work with stakeholders throughout solution lifecycle
- Improve platform stability, data value & quality, and promote a data culture
- Actively collaborate with teammates to share workloads, develop skills, & strengthen the team
Qualifications / Education
- Minimum of 2 years sustaining an enterprise data architecture, such as a common data model or data warehouse
- Minimum of 2 years of owning full lifecycle of BI projects/solutions
- Minimum of 3 years of hands-on enterprise data engineering/ETL experience
- Minimum of 3 years of hands-on enterprise data modeling experience
- Minimum of 3 years of hands-on experience with Microsoft Business Intelligence stack
- Bachelor’s degree in computer science, data science, engineering, or comparable field, or equivalent experience in field
- Microsoft Fabric Analytics Engineer Certification preferred
Skills / Experience
- Work within an enterprise data environment- version control, change & integration management, etc.
- Strong skills in data engineering with a willingness to support on the visualization layer
- Strong skills in troubleshooting concepts
- Strong skills in Python, SQL, M, DAX
- Experience with SQL Server Management Studio, DAX Studio, Tabular Editor, & ALM Toolkit a plus