Business Intelligence Engineer, Tempus

Salary not provided
SQL
AWS
Docker
GCP
Python
Tableau
Looker
Mid and Senior level
Chicago
Tempus

Artificial intelligence for powering data-driven precision medicine

Job no longer available

Tempus

Artificial intelligence for powering data-driven precision medicine

1001+ employees

HealthcareB2BArtificial IntelligenceEnterpriseMachine LearningData AnalysisData SharingMedTech

Job no longer available

Salary not provided
SQL
AWS
Docker
GCP
Python
Tableau
Looker
Mid and Senior level
Chicago

1001+ employees

HealthcareB2BArtificial IntelligenceEnterpriseMachine LearningData AnalysisData SharingMedTech

Company mission

Tempus' mission is to improve patient outcomes.

Role

Who you are

  • Bachelor's degree in Information Systems, Business Administration, Finance, Economics, Mathematics, Operations Research, Marketing or similar
  • 3+ years of experience developing data sets for analysis use-cases
  • 3+ years of experience with direct stakeholder management and ownership of full lifecycle of analytics/data projects and presenting analysis results to stakeholders
  • 3+ 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

Desirable

  • 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
  • Experience building cloud-native applications and supporting technologies / patterns / practices including: GCP, AWS, Docker, CI/CD, DevOps, and microservices

What the job involves

  • 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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Insights

Top investors

17% employee growth in 12 months

Company

Company benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Short Term Disability Insurance
  • Flexible Spending Account
  • Commuter Benefits
  • Parental Leave
  • Charitable Matching Program
  • Mental Health Support Platform
  • Pet Insurance
  • Company Cafeteria with Breakfast, Lunch & Grab & Go Options
  • Stocked Kitchen with Snacks
  • On-Site Barista
  • Discounted Gym Membership
  • Discounted Divvy Membership
  • Diversity & Inclusion Initiatives
  • Team & Company Outings

Funding (last 2 of 11 rounds)

Oct 2022

$100m

LATE VC

Dec 2020

$200m

SERIES G

Total funding: $920m

Our take

Datasets are continuing to increase in size, and whilst this additional complexity of data is beneficial to clinical research, it's becoming difficult to organize and analyze. This is a particularly important hurdle for precision medicine, an area of study that will greatly benefit from granular and detailed datasets.

Tempus has built a platform that collects, structures, and analyzes complex and organized clinical data from electronic medical records. By making granular and large-scale datasets more accessible for analysis, the company aims to help doctors create bespoke treatments for individual patients. The platform also facilitates the generation of genomic data through DNA sequencing of patients.

Tempus’s approach to autonomous data analysis will be hugely beneficial to precision medicine as it is specifically aimed towards processing large-scale electronic medical records. With an efficient way to analyze vast medical databases, doctors could begin to gain more personalized and flexible insights into their patients, as opposed to focusing on a one-size-fits-all solution. This is just the beginning, with continued investment, the company is currently using funds to scale operations and to build out new capabilities for its platform.

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Kirsty

Company Specialist at Welcome to the Jungle