Analytics Engineer - Power BI & SQL in Houston, TX
Overview
Build the data layer that powers company-wide decisions at National Trench Safety, a national equipment rental leader. You'll own the path from raw data to trusted reports: crafting SQL models in Azure SQL, designing Power BI semantic models with DAX, and supporting Azure Data Factory pipelines. Partner with Finance and Operations to turn complex business rules into accurate, documented data models. This role offers direct ownership of critical reporting infrastructure and the chance to shape evolving team standards.
What You'll Do8
- 1Design and maintain SQL views, staging tables, and fact/dimension models in Azure SQL, including deduplication and business-rule logic like status-based routing and multi-source reconciliation.
- 2Build and maintain Power BI semantic models with relationships, DAX measures, and security roles, then create reports and dashboards for stakeholders.
- 3Monitor scheduled Azure Data Factory pipelines and Power BI dataset refreshes, responding to failures and troubleshooting issues.
- 4Modify existing pipelines to support new business requirements as your familiarity with the tooling grows.
- 5Partner with business SMEs to translate requests and logic (commission structures, revenue recognition, inventory rules) into accurate, documented data models.
- 6Write and maintain documentation for data models, metric definitions, and report logic to ensure clear data lineage.
- 7Follow and evolve team standards for naming conventions, DAX style, and semantic model design.
- 8Identify process improvements and optimize data workflows to enhance analytics capabilities.
Requirements10
- 13+ years in a data-focused role with hands-on SQL work, including CTEs, window functions, and complex multi-source views.
- 2Solid Power BI experience building semantic models from scratch and writing DAX involving CALCULATE, filter context, and context transition.
- 3Dimensional modeling fundamentals: star schemas and slowly changing dimensions.
- 4Track record of working with business stakeholders to turn ambiguous requirements into working data models.
- 5Strong attention to data integrity, catching bad joins and inclusive date boundaries.
- 6Exposure to an ERP or core business system (order, invoicing, or GL data) as a data source.
- 7Understanding of ETL/ELT concepts and working knowledge of Azure Data Factory or similar orchestration tools.
- 8Familiarity with Microsoft Fabric administration and environment (Lakehouses, Dataflows Gen2) is a plus.
- 9Basic Git experience and Python for data tasks.
- 10Bachelor's degree in Computer Science, Data Science, Information Systems, or related field.
Salary Insight
Salary not disclosed in listing
Location
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