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# Analytics Engineer

- **Company:** Valaris plc
- **Location:** Houston, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Microsoft Business Intelligence, SQL Databases, Enterprise Data Management, Microsoft Fabric, Information Technology, SQL Server Management Studio (SSMS), Software Version Control
- **Published:** June 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2dab7be4ebda88eb

## About the Role

Do you have experience in Stakeholder management?, * 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

## Description

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


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