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Analytics Specialist

2 months ago

Houston, United States IS&T IT Services Full time

Analytics Engineer

Houston, TX

Full-Time


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 the 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.


Challenges and Opportunities:

- Opportunity to get in on the ground floor and make a huge difference.

- Engage in deconstructing a large-scale enterprise data model into smaller, more focused models.

- Promote decentralized analysis while centralizing and governing the most important assets.

- Leverage new technologies like Data Activator, AI/Copilot, and potentially branch into real-time data streaming and analytics.