Business Data Analyst/Scientist

This role is a contract placement that's estimated at 6 months with a potential for extension. Our partner team seeks to modernize a legacy, error-prone procurement process that can drive downstream data issues such as unrealistic realized revenue, incorrect run-rates, and reporting inconsistencies. We’re looking for a hands-on data engineer/analytics engineer who can rapidly learn the business, stand up an initial rules engine to flag scenarios with known error patterns (e.g., realized revenue > contract value indicating erroneous entry), and then expand into proactive modeling/anomaly detection to identify new, unknown erroneous patterns. Required Qualifications • Must be local to the greater Seattle area and able to commute to Redmond regularly • Demonstrated ability to translate messy business processes into robust data logic and controls. • Strong stakeholder communication: can learn the business quickly and explain findings clearly to non-technical partners. • 5+ years in data engineering / analytics engineering / BI engineering (or equivalent experience). • Strong SQL and data modeling skills (dimensional modeling, semantic layer design). • Experience building data pipelines and data quality frameworks in Azure-native tooling (e.g., Azure Data Factory/Synapse/Databricks, ADLS, Azure SQL, Fabric—depending on what ISD uses). • Power BI experience: data modeling, DAX fundamentals, performance considerations, and building actionable dashboards.