Top Analysis Reporting Jobs in Spokane, WA

The Data Engineer role involves designing and maintaining AWS-cloud-native data systems, developing ETL processes, optimizing data pipelines, and ensuring data security and governance in healthcare data applications.

The Business Intelligence Developer Senior Specialist will develop and optimize BI applications, ensuring data accuracy and integration with various platforms while collaborating with team members and stakeholders to deliver actionable insights.

The Director of Business Intelligence leads enterprise data strategy, builds high-performing analytics teams, and oversees executive reporting, forecasting, and analytics delivery, ensuring alignment with business goals.

The Lending Quality Assurance Analyst performs QA reviews on lending products, conducts data analysis, recommends improvements, underwrites files, and ensures compliance with regulations.

As a Senior Data Engineer, you'll design and maintain scalable data pipelines, optimize workflows with dbt and Snowflake, and mentor teams across functions to enhance data reliability and performance.

The Data Analytics Consultant analyzes workforce data using proprietary software, helps clients with compliance, ensures data quality, and manages projects effectively.

The Bioinformatics Scientist analyzes lab data through computational models, focusing on NGS data and collaborating with teams to develop software solutions.

The Senior Data Engineer at MSI will design and manage data systems and pipelines, oversee junior engineers, and lead data projects, ensuring data quality and governance.

The Head of Data & Systems will set a vision for data governance and architecture, leading teams in analytics and business systems to drive self-service and ensure data quality across Jane as the company scales, focusing on AI integration and organizational culture change.

The Principal Data Architect will design and oversee the enterprise data architecture, ensuring effective modeling, integration, governance, and consumption of data across the organization. Responsibilities include building data models, implementing lakehouse strategies, and partnering with multiple teams for the evolution of data practices.

The Data Scientist designs and builds data structures for AI applications, manages vector and feature stores, leads data discovery, and collaborates on responsible data use while ensuring high-quality, governed datasets for ML models and applications.

The Senior Manager, Privacy Architect will oversee compliance and data governance initiatives, ensuring privacy practices are implemented within engineering and data science teams, and contribute to AI-powered product development.