Data Analyst, COTA Healthcare

• Bachelor’s / Master’s degree in computer science or equivalent
• Knowledge of best practices with data wrangling/mapping/cleansing, and other state-of-the-art relevant computational techniques and processes
• Strong Python data science skillset is a must
• Strong SQL skillset
• Strong knowledge of engineering practices for development and deployment of code (version control + CI/CD)
• Solid foundational knowledge of descriptive and predictive statistics
• Passionate about data quality and able to clearly articulate its importance to internal and external partners in specific contexts
• Collaborative self-starter. COTA is a startup environment and you will be working cross-functionally daily with other data analysts / scientists, engineers, medical professionals, and business professionals

Desirable

• Help deliver data products to customers
• Enable the above delivery of data products to customers through new or existing data pipeline automation on Cloud Native or Cloud deployed technologies
• Become the internal and external expert on COTA’s data model; confidently representing our data capabilities to other teams as well as external partners
• Help improve data pipeline accuracy by using data science and/or machine learning techniques
• Suggest, implement, and manage priorities for improvements to COTA’s data model based on business needs and client feedback
• Represent the Analytics team in partnering with the operations, engineering, and clinical teams to define analytic requirements, enhance data quality
• Examine analytical results for robustness, validity, and out of sample stability and present findings to various stakeholders across the organization
• Analytics who is naturally curious and can employ various analytics and data science techniques to help further COTA’s business goal of bringing clarity to cancer
• The Analytics team is also involved in bringing data into COTA, and in this regard, the candidate should be able to help with data cleanup, mapping and standardizing into a data lake or warehouse