Senior Business Insights Analyst; Denver

Guild is bridging the gap between education and career opportunity, helping employers offer education, skilling, and career mobility to their employees. The Guild Career Opportunity Platform empowers top companies to help working adults go back to school, with tuition assistance programs that align corporate business goals with affordable education programs designed for working adults. Guild's curated network of online learning providers and non‑profit universities along with one‑to‑one coaching and support helps each student navigate the worlds of work and school, and grow their careers in the process.

Guild is approved to hire in 32 states. Before applying to a remote role, ensure you are in (or will be in) one of the following locations: AZ, CA, CO, CT, FL, GA, , 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 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 team relies on to run the business, while also building the AI‑powered tools and automated workflows that will enhance how the Analytics team operates for years to come. You'll bridge the gap between raw data and real decisions, partnering with Finance, Employer Partner Services, Product, and Marketing to ensure leaders can interpret, trust, and act on data with confidence.

If you're excited about doing serious analytical work and building scalable systems that multiply the team's impact, this role was designed for you.

• Executive‑grade KPI intelligence
  :
  Leaders across the organization have a reliable, proactive source of truth on business performance, with clear interpretation of trends, risks, and forward‑looking signals
• AI‑powered analytics at scale
  :
  The Analytics team and its cross‑functional partners spend less time on manual, recurring work because you've built tools and automations that handle it
• Analytical enablement across the org
  :
  Business teams can independently contextualize and act on data because you've made forecasts, metrics, and insights accessible and interpretable
• 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

• 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…