Tempus Labs, Inc. is hiring a
Senior Business Intelligence Engineer

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Tempus Labs, Inc.

πŸ’΅ ~$150k-$222k
πŸ“Remote - United States

Summary

Join our mission to connect an entire ecosystem to redefine how genomic data is used in clinical settings. We're looking for a passionate individual who can own the design, development, and administration of advanced analytics dashboards and reporting tools.

Requirements

  • 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.)
  • 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

Responsibilities

  • Own the design, development and administration of advanced analytics dashboards and reporting and business intelligence tools
  • 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

Preferred Qualifications

  • 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

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