Analytics Engineer

Role:-Analytics Engineer

Location:-Chicago, IL (preferred 1st) or Dallas (2nd preference), may also consider Edna, MN or Centennial, CO

Duration:-6+ Months

Responsibilities

• Design 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.

Requirements

• 5+ years of experience as an engineer
• Must 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 analytics
• Able to build out backend pipe, perform frontend configuration
• Ability 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 Requirements

• Python experience.
• Familiarity with healthcare, consulting, or financial analytics.
• Experience measuring adoption and improving self-service analytics.