Top Analysis Reporting Jobs in Boise, ID

The Data Analyst will analyze healthcare data, develop reports and visualizations, and support analytics operations for pricing decisions.

The Specialist helps clients develop data-driven customer experience strategies through analysis, insight generation, client engagement, and training presentations, in a fast-paced environment.

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.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

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.

The Sr. Analyst, Financial prepares and analyzes participation profit share statements, compiles transactional data, interprets contracts, reviews profitability, and communicates with internal and external partners.

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.