Senior Data Analyst, Flatiron Health

• You're a kind, collaborative and analytic problem solver and value the opportunity to think beyond the way things are
• You have 3+ years of industry experience in relevant roles or have completed a PhD in a relevant field
• You’re impact-oriented, and care deeply about creating real change for customers, users, and ultimately patients. You choose the right, rather than the flashiest, method available to reach your goals
• You have a strong background in analytics and can fit the appropriate analysis approach to complex business or research problems
• You are a clear and confident communicator who can explain technical concepts to business and clinical partners
• You are versatile and can easily pick up new programming languages and tools, but come with strong experience in Python
• You have a record of success driving initiatives forward by generating buy-in, managing complexity, and continuously delivering business impact
• You are proficient in English

Desirable

• The Senior Data Analyst position is a position within our broader International Data Science organization
• The Data Science team is a diverse and talented group of individuals with strong expertise in discovering and understanding customer needs, making data-driven decisions within an ambiguous problem space, and rapidly prototyping and iterating on data products
• Building on 10 years of experience in the US, Flatiron’s international team is scaling Flatiron’s approach in new countries
• Streamlined teams in each market are establishing partnerships with local cancer providers, and developing high-quality real-world data for researchers around the world
• Data Scientists and Data Analysts are embedded on those teams and their work touches every aspect of Flatiron’s international product and strategy
• This position specifically will be embedded on one of our Data Platforms teams which is focussed on developing tooling for curating unstructured data
• Collaborate with cross-functional partners to track metrics and support decision-making for clinical data processing operations
• Build dashboards for internal use cases; support users by conducting ad-hoc analyses and taking action on user feedback
• Conduct analyses to provide insight into user behavior for our internal tools to help inform product decisions
• Immerse yourself in business and technical context to help your team identify opportunities for optimizing our processes and unlocking new value from our unique datasets