Top Remote Analysis Reporting Jobs in Boise, ID

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Senior technical leader responsible for designing and implementing scalable Databricks/Azure data architectures, building high-scale pipelines, embedding across teams to unblock delivery, mentoring engineers, and defining engineering standards and best practices for enterprise data platforms.

Design, develop, and automate business applications and reporting using Microsoft Power Platform. Build Power Apps, Power Automate flows, SharePoint/Dataverse integrations, and Power BI dashboards to support financial reporting, audit readiness, and process improvements. Collaborate with stakeholders to translate requirements, maintain documentation, troubleshoot issues, and support deployments and production reliability.

Part-time contractor responsible for database maintenance, advanced Excel data manipulation and reporting, CRM management, KPI development, data visualization, and consulting with executives to improve processes and present findings.

As an Interface Specialist II, you will develop and optimize automated processes, support integrations, manage projects, and collaborate on process improvements.

Design, develop, and maintain Snowflake data platforms including schemas, tables, views, streams, tasks, and stored procedures. Optimize SQL and warehouses for performance and cost, implement ingestion/automation (Snowpipe, Streams, Tasks), manage security/RBAC, integrate with cloud and BI tools, leverage Snowflake AI features, troubleshoot production issues, and collaborate with data teams to deliver scalable solutions.

Lead enterprise analytics strategy and execution, build scalable self-service BI and dashboards, manage complex analytics projects, partner with cross-functional stakeholders, perform advanced analyses as subject-matter expert, and drive AI-enhanced analytics adoption to inform strategic decision-making.

Lead product measurement and analytics as a Staff-level IC: define KPI frameworks, generate proactive insights, shape product strategy, improve data foundations, and build AI-enabled analytics workflows while mentoring analysts and influencing senior product leaders.