Komodo Health aims to reduce the global burden of disease by leveraging data and analytics. The Analytics team needs a leader to provide high-quality analytics and thought partnership to clients, answer key business questions, and drive customer retention by building analytics pipelines, drawing insights from data, and collaborating with stakeholders.
Requirements
- Proficiency in quantitative reasoning: You understand the basics of data science and classical statistics and can use that knowledge to scope out a client solution .
- at least five years of industry experience working with large-scale databases and leveraging Python and SQL (notably Snowflake for data querying, cleaning, and transformation);
- advanced Excel skills;
- experience translating analytic insights into PowerPoint or dashboards;
- prior life sciences or other healthcare experience analyzing claims data to inform business decisions;
- Familiarity with PySpark and R
- Proficiency with complex topics in ML modeling and software packages
Responsibilities
- Supervised high-value data analytics projects.
- Led the development of a data science team focused on both presales analytics and managed services projects.
- Effectively partnered with internal and external teams to translate client requirements into analytics to solve client needs, leveraging Komodo data and products.
- Acquired a thorough understanding of the Komodo Healthcare Map and how to apply it to answer critical healthcare questions.
- Developed an understanding of patient-level data and proficiency in our key offering areas, including patient journey, line of therapy, HCP segmentation, and market landscape assessments.
- Identified and implemented ways to scale our solutions, automate code, and centralize complex logic for repeatability.
- Presented analytical results and insights to internal and external partners, including technical and non-technical stakeholders.
Other
- Analytical mindset: You solve complex business problems with analytics.
- Client service-orientation: You understand client needs and how to develop solutions to address them.
- Strong communication skills: You are comfortable presenting to stakeholders at all levels (technical and non-technical) and distilling complex topics and analyses into easy-to-follow and compelling narratives.
- Healthcare or other related experience: You are familiar with life sciences needs, such as patient journey analytics, HCP engagement and segmentation, and market landscape assessments.
- management experience and experience scaling a data science team.
