Guild
AnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Analytics Engineer at Guild”
Full Job Description
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. ---- Guild is hiring an Analytics Engineer who will sit at the intersection of data, AI, infrastructure, and analytics, to help shape and deliver valuable data and business-critical reporting and insights for Guild. You will be responsible for organizing, standardizing, and analyzing our data to enable Guild’s Analytical efforts. This role will have a critical impact on the business and our students by surfacing valuable data and providing insight into opportunities for improvement across all aspects of our business. Responsibilities Develop, maintain, and deeply understand core data models and curated datasets that support reporting, AI, and advanced analytics use cases, effectively communicating their structure and purpose to enable broad access to trusted data. Develop a deep understanding of business and operational
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