Senior Business Insights Analyst (Denver Only)

At Guild, we believe talent is everywhere and that opportunity should be too. We continue to have our home and headquarters in Denver, but we have embraced a distributed model of working to reach the best talent in the United States. While some roles may require proximity to our Denver office, roles based outside of our Denver office can sit in any of the following 32 states: AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, MA, MD, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI and Washington D.C. Please only apply if you are able to live and work full-time in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. If you are an Internal Candidate, please apply via our Internal Job Board. ---- To thrive as a company and meet our impact goals, we must cultivate a culture of high-performance. We know managers are often the single-largest driver of employee satisfaction and growth, and our talent is our biggest asset. Because of that, we’ve identified consistent expectations for all of Guild’s people managers — helping you know what to expect from your experience here. ---- *Please note this role is based in Denver, CO* This role sits at the center of how Guild uses data to drive business decisions. As Senior Analyst, you'll own the KPI monitoring and insight generation that our executive te [... source excerpt omitted ...] g priorities and expectations Quantitative rigor: 4+ years in analytics, data science, or a related field, with comfort working across complex, multi-source datasets Here's what you will do in this role to achieve these outcomes: 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 [... source excerpt omitted ...] loyer 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 You are probably a strong candidate for this role if you've accomplished: Built or automated an analytics workflow - reporting, alerting, or data pipeline - that meaningfully reduced recurring manual work for yourself