Analytics Engineer

Role:-Analytics EngineerLocation:-Chicago, IL (preferred 1st) or Dallas (2nd preference), may also consider Edna, MN or Centennial, CODuration:-6+ MonthsResponsibilitiesDesign and maintain semantic models, metrics, business definitions, and governed analytical datasets.Build and configure user-facing analytical experiences, including Databricks Genie spaces, dashboards, and fit-for-purpose notebooks.Translate common user questions and workflows into reliable queries, calculations, prompts, and interaction patterns.Partner with Data Engineers to resolve data-model, quality, performance, and access issues affecting the user experience.Work with the Systems Analyst, data champions, and users to validate usefulness, accuracy, and ease of use.Monitor usage, answer quality, and adoption; maintain documentation and recommend iterative improvements.Requirements5+ years of experience as an engineerMust have advanced SQL skills and strong dimensional, semantic, or metrics-layer modeling experience.Experience with Databricks and modern BI or analytical-consumption tools; experience with Genie or natural-language analyticsAble to build out backend pipe, perform frontend configurationAbility to evaluate analytical accuracy, explainability, and usability rather than relying only on successful query execution.Working knowledge of data quality, access control, performance optimization, and version-controlled analytics development.Strong communication and facilitation skills with business users and domain experts.Self-driven and curious by nature, comfortable researching and getting up to speed on new tools, data sets, and domains independently rather than requiring formal training.Preferred RequirementsPython experience.Familiarity with healthcare, consulting, or financial analytics.Experience measuring adoption and improving self-service analytics.