Senior Business Insights Analyst (Denver Only)

Guild is a company that believes talent is everywhere and that opportunity should be too. They are seeking a Senior Business Insights Analyst to own KPI monitoring and insight generation, build AI-powered tools, and partner with various teams to enhance data-driven decision-making across the organization.

Responsibilities:

• Monitor business KPIs, identify risks and trends proactively, and deliver data visualizations and narrative insights that drive meaningful engagement with executive-level stakeholders
• Partner with the Forecasting & Financial Analytics team to bridge forecast outputs to day-to-day decision-making, enabling cross-functional teams to interpret and act on data with confidence
• Build and deploy AI-powered analytic solutions - automated reporting pipelines, repeatable Skill frameworks, and scalable tools - that reduce manual effort across the Analytics team and its partners
• Consult with stakeholders on reporting feasibility and scope; produce metrics and data structures that best meet their actual decision-making needs
• Deliver ad hoc analyses on Guild's business trends, member behavior, and learner and employer outcomes
• Write and maintain complex SQL, work within dbt models, and leverage Omni to surface and communicate data; partner with Data Engineering on data quality and schema requirements
• Evaluate and implement emerging AI tools and techniques to improve analytic workflows and stay current on the applied AI landscape
• Translate data on member experience, learner outcomes, and employer outcomes into external-facing thought leadership that supports business growth

Requirements:

• SQL proficiency: you're comfortable writing complex queries across multi-table data models; dbt and Omni (or comparable BI tools) experience strongly preferred
• Applied AI fluency: hands-on experience building AI-powered tools or automating analytics workflows, not just familiarity with the concepts
• Executive communication: ability to distill complex findings into clear, confident recommendations for non-technical audiences
• Builder's mindset: you proactively identify opportunities to automate, scale, and improve how data is used; you don't wait to be asked
• Stakeholder partnership: comfortable consulting with cross-functional partners on scope, feasibility, and tradeoffs; can manage competing priorities and expectations
• Quantitative rigor: 4+ years in analytics, data science, or a related field, with comfort working across complex, multi-source datasets