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.