Business Intelligence Engineer, Tempus

• 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

• 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

• 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

Total funding: $920m

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.