We are seeking a Technical, Hands-on Manager to lead a team responsible for building and maintaining high-quality healthcare market datasets and analytics.
Requirements
- 7+ years of professional experience in data analytics, data science, or quantitative analysis in a production environment.
- Strong proficiency in Python and data analysis libraries (Pandas, NumPy, SciPy, Matplotlib).
- Advanced SQL querying and ability to work with large datasets.
- Strong understanding of statistics, data analysis methods, and pattern detection in complex datasets.
- Experience managing multiple concurrent analytics projects and prioritizing work across a team of analysts.
- Experience designing analytic frameworks or benchmark datasets used by business teams or external stakeholders.
- Experience managing data quality, data governance, and dataset lifecycle management.
- Experience evaluating and applying modern analytics or AI techniques (including LLM-based tools where appropriate) to enrich datasets or accelerate analytic workflows.
- Strong software engineering fundamentals including modular Python code, reusable analytic functions, and maintainable data pipelines.
- Familiarity with cloud data platforms (e.g., AWS, GCP, or Azure) and common data services used to store, process, and query large datasets.
- Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring smooth integration of AI/ML capabilities into production systems
- Excellent communication and storytelling skills, capable of translating complex AI/ML concepts into clear, actionable insights for leadership, stakeholders, and non-technical partners.
Benefits
- Competitive salary
- Health insurance
- Retirement plan
