Top Senior Analysis Reporting Jobs in Spokane, WA

Manage and guide Airbnb's CS Taxonomy team to develop scalable taxonomies and ontologies, collaborating with cross-functional partners to enhance information architecture and knowledge modeling.

Lead and scale the Analytics and Data Science functions, empowering teams to deliver insights that drive business outcomes and foster a data-driven culture.

Lead Data Sciences and Analytics team in delivering insights for drug development. Manage clinical data, develop models, and ensure compliance. Collaborate with stakeholders to facilitate data integration and visualization.

The Senior Analyst, Revenue Operations is responsible for delivering analytical insights, enhancing forecasting accuracy, and optimizing revenue processes while collaborating with various departments.

As a Senior BI Data Analyst, you'll analyze complex datasets, build SQL queries, develop predictive models, and create dashboards to drive insights and recommendations.

The Senior Predictive Analytics Analyst builds predictive models to inform business decisions, collaborating with teams and ensuring regulatory compliance.

The Senior Business Analyst leads client discovery sessions, documents business requirements, and ensures alignment between client needs and technical execution within the Adobe ecosystem.

Lead marketing analytics to measure and optimize full-funnel performance. Build dashboards, analyze paid media and web funnels, assess lead quality and conversion, advise on budget allocation, support executive reporting, and improve analytics infrastructure across Marketing, Finance, and RevOps.

Partner with GTM and Sales leadership to design and deliver executive-grade dashboards and insights across pipeline, bookings, forecasting, and productivity. Build and govern scalable BI solutions (Tableau, PowerBI, Clari, Gong, Salesforce), diagnose revenue performance drivers, support executive and board reporting, improve CRM data quality, and translate analysis into actionable recommendations that influence GTM strategy and revenue outcomes.

Lead and mentor a data engineering team to design and operate scalable ETL/ELT pipelines and Snowflake data warehouse solutions using Python, DBT, Matillion, and AI tools; establish standards, ensure data quality and governance, and collaborate with analytics, product, and BI stakeholders to deliver production-ready data platforms.