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# Sr. Business Intelligence Engineer

- **Company:** Tempus Inc
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Data Analysis, Big Data, Information Systems, Databases, Data Files, Data Governance, Data Integrity, Data Visualization, Cursor (Graphical User Interface Elements), Distributed Systems, Standard Sql, Tableau (Software), Sql Optimization, Build Management, Looker Analytics
- **Published:** September 7, 2026
- **Apply:** https://www.careerjet.com/job/usf4d17c2cb0a8cae84c10078389e31a11/eaa

## About the Role

Bachelor's degree in Information Systems, Business Administration, Finance, Economics, Mathematics, Operations Research, Marketing or similar
5+ years of experience developing data sets for analysis use-cases
5+ years of experience with direct stakeholder management and ownership of full lifecycle of analytics/data projects and presenting analysis results to stakeholders
5+ years report-development and data visualization experience with BI tools (Looker, Tableau, etc.)
1+ year of experience leveraging Agentic workflows (Claude Code, Cursor, Windsurf).
Ability to deliver both high-level explanations of complex problems while also able to deep dive into complex problems
Advanced SQL skills for querying and analysis of large, complex datasets
Must work well in a team environment and be able to partner with both business and technical team members and translate technical language to the non-technical need
Creative problem solver, ability to handle multiple projects, and strong work ethic needed
Excellent written and verbal communication skills
Highly organized and systematic, superb attention to detail
Able to complete tasks with a high degree of accuracy and an eye towards process improvement
Persistent and resilient person who thrives in a fast-paced, highly collaborative environment
Bonus points for:
Advanced analytics experience - classification/predictive modeling, optimization models, forecasting
Experience with Python for data engineering or advanced data analysis projects/use-cases
Healthcare domain knowledge and experience
Expert knowledge of database/data modeling concepts, SQL skills, proficiency in query performance tuning, and desire to share knowledge with others

## Description

Own the design, development and administration of advanced analytics dashboards and reporting and business intelligence tools. Beginning with requirements gathering across cross-functional teams, to the delivery of analytic solutions into production.
Collaborate with stakeholders, providing guidance, data and analytical support for developing new datasets, analyses and tools in support of strategic initiatives.
Perform deep-dive root cause and problem-solving analyses for and with laboratory, business operations and engineering teams.
Design and build data views to support advanced analytical reporting, self-service data analysis and exploration, utilizing multiple data and visualization technologies.
Work closely with technical and product teams to identify and align changes to internal systems in support of future data analysis needs and requirements.
Develop and facilitate data governance initiatives to assure data integrity across distributed systems.
Solve new and interesting problems.


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