Engineer of Data Visualization

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally enabled AI to significantly impact clinical care. Tempus' proprietary platform links an entire ecosystem of real-world evidence to provide real-time, actionable insights to physicians, offering critical information about suitable treatments for the right patients, at the right time. With the introduction of genomic sequencing, we can now decode and process our genetic makeup. Even though we now have more data than ever before, providers lack the infrastructure or expertise to interpret this data. Our mission is to connect an entire ecosystem to redefine how genomic data is used in clinical settings. What You'll Do: - Take charge of the design, development, and administration of advanced analytics dashboards and reporting and business intelligence tools, starting from requirements gathering across cross-functional teams, right up to the delivery of analytic solutions into production. - Work together with stakeholders, offering guidance, data, and analytical support for the creation of new datasets, analyses, and tools in support of strategic initiatives. - Conduct in-depth root-cause analyses and problem-solving sessions for laboratory, business operations, and engineering teams. - Construct and develop data views to facilitate advanced analytical reporting and self-service data analysis and exploration, using various data and visualization technologies. - Collaborate closely with technical and product teams to recognize and coordinate changes to internal systems to aid future data analysis needs and demands. - Initiate and oversee data governance initiatives to ensure data integrity across distributed systems. - Solve new and intriguing problems. Qualifications: - Bachelor's degree in Information Systems, Business Administration, Finance, Economics, Mathematics, Operations Research, Marketing, or similar - 3+ years of experience developing datasets for analysis use-cases - 3+ years of experience directly managing stakeholders, owning the complete lifecycle of analytics/data projects, and presenting analysis results to stakeholders - 3+ years of experience developing reports and visualizing data with BI tools (Looker, Tableau, etc.) - Ability to provide both high-level explanations of complex problems and deep-dive into complex problems - Advanced SQL skills to query and analyze large, complex datasets - Must work well in a team environment and be able to collaborate with both business and technical team members, and translate technical language into non-technical needs - Creative problem solver, ability to handle multiple projects, and strong work ethic needed - Excellent written and verbal communication skills - Highly organized and systematic, exceptional attention to detail - Must be able to complete tasks with a high degree of accuracy and with an eye toward process improvement - Persistent and resilient, and 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 willingness to share knowledge with others - Experience building cloud-native applications and supporting technologies / patterns / practices such as: GCP, AWS, Docker, CI/CD, DevOps, and microservices #LI-EH1 #LI-Hybrid We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.