Top Analysis Reporting Jobs in Boise, ID

Lead and build PushPress's data and AI foundation: define data strategy, architect pipelines and warehousing, ensure data quality and governance, enable AI product features, deliver analytics and reporting, and hire and grow a high-performing data team.

The analyst will assist in financial forecasting, budgeting, and reporting, create financial models, and collaborate with various operational teams, ensuring informed decision-making.

The analyst will connect data to business issues, develop dashboards, support fraud detection systems, collaborate cross-functionally, and analyze performance for improvements.

Lead Sales and Marketing analytics for GTM optimization: build dashboards, run deep-dive and predictive analyses, ensure data integrity, support incentive and quota modeling, and present executive-level insights to drive pipeline, conversion, and revenue efficiency.

Analyze data and create visualizations to drive business decisions, collaborating with team members and stakeholders to provide actionable insights.

Manage integration processes, analyze data quality, design reporting solutions, and facilitate integration teams while supporting enterprise initiatives.

Support M&A processes through research, data analysis, and management of investment prospects while producing reports and KPIs.

The Lead Analytics Consultant will guide a team, define analytical strategies, optimize data processes, and collaborate with stakeholders to drive data-driven decision-making.

Lead organization-wide analytics and impact measurement, manage large cross-functional data projects, produce strategic insights and visualizations, advise stakeholders on evaluation and data practices, and help shape analytics team strategy and data infrastructure improvements.

Partner with customers and sales to design and present scalable Databricks Lakehouse architectures, build reference architectures and demos, consult on big data, ETL, and ML projects, validate integrations, and drive technical wins and adoption across accounts.

Design and execute advanced analytics and statistical models to support revenue cycle surveillance and risk monitoring. Extract, validate, reconcile, and integrate MHS GENESIS and enterprise repository data. Develop and optimize SQL/Vertica queries, CCL/Discern extracts, dashboards (Power BI, Tableau, SAP BO), and analytic deliverables. Support backend diagnostics, incident/change management, remediation analysis, and stakeholder briefings while ensuring HIPAA and federal data governance compliance.

Design, build, and maintain scalable ETL/ELT pipelines and Power BI dashboards; write testable Python, R, and SQL code; enforce version control and engineering standards; partner with data scientists to productionize analytics; explore AI tools; and mentor junior staff.