Data Analytics Manager, Flatiron Health

• You're a kind, collaborative and analytic problem solver and value the opportunity to think beyond the way things are. In addition,
• You have a BS or MS from a technical field of study (e.g. data science, engineering, computer science, mathematics, applied statistics, health economics, etc.) with 4-8 years of relevant experience
• You have 1-2 years of people management experience
• You are proficient in SQL and R
• You have experience working with dashboarding tools such as Looker or Streamlit
• You have experience working in Python or are excited to learn
• You have an understanding of key statistical concepts and the ability to generate and interpret statistical analyses
• You have experience collaborating on analytic projects, writing reusable code and using version control
• You are a clear and confident communicator who can break down complex data analyses to tell a compelling story
• You are a self-starter who can independently prioritize and who enjoys coming up with innovative solutions to challenging problems
• You are passionate about our mission to improve cancer care through data and technology
• You enjoy working in a fast-paced startup-like environment

Desirable

• In this role you will help grow and lead our Data Analytics team - a growing team within our broader International Data Insights organization. The Data Insights team is a diverse and talented group of individuals with strong data expertise and understanding of our customers’ needs
• Data Analysts play a key role in supporting data-driven decision-making, developing data models, building research-grade data sets, and conducting statistical analyses that support our customers in their efforts to advance the state of cancer care
• Lead a growing team of data analysts that is located across our London, Berlin and Tokyo offices
• Manage and support career growth for data analysts on the team
• Become a subject matter expert on our data and its capabilities
• Work closely with a cross-functional team (e.g., product managers, software engineers, oncologists, clinical data specialists) to develop new real-world data products
• Conduct and review tests to monitor quality of data sets to ensure research-grade data quality in our products, investigating data issues as necessary
• Conduct and present ad-hoc analyses in response to customer requests and internal questions
• Develop tooling and processes within the data analytics team to ensure scalability
• Work with cross-functional stakeholders to develop tools and process improvements to optimize project execution for our custom solutions projects
• Develop dashboards for external and internal use cases