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Salary: USD 145,000 - 160,000 / annual
Hello Heart is an AI-driven healthtech company focused on cardiac prevention and risk prediction. The company has built a platform that identifies cardiac risk up to 10 days in advance compared to traditional clinical models, reducing inpatient hospital days by 47% and delivering ~$1,800 in annual savings per member. Hello Heart partners with over 80% of large U.S. health plans and serves hundreds of public and private employers.
You will join the Data Science and Analytics group as a Senior Data Analyst, reporting to the Analytics Team Lead. This role is central to driving data-informed business decisions across the organization. You will work cross-functionally with Marketing, Finance, Product, Sales, Medical Affairs, and Customer Success teams to uncover insights and support strategic initiatives.
Key responsibilities include:
- Partner with cross-functional teams to understand business needs and deliver actionable analyses
- Proactively explore data to identify patterns, trends, and opportunities for business growth and operational improvements
- Define and manage data collection requirements across systems to enable consistent reporting
- Develop, optimize, and automate data pipelines using SQL, AI, and modern data engineering tools
- Build and maintain interactive dashboards for self-service reporting and analytics
- Identify process improvements and efficiencies across the data landscape
- Translate complex data into clear visualizations and presentations for executives and external partners
You will have opportunities to expand your data skills by working with a growing team of analysts, scientists, and engineers. The ideal candidate is data-driven, AI-forward in their approach (actively using GenAI to automate work and scale output), highly independent, and thrives in fast-paced, entrepreneurial environments. You should have strong communication skills, be highly organized, and excel at multitasking across multiple functions.
Qualifications:
- BA/BS degree in quantitative or business fields, or equivalent work experience
- 5+ years of experience with advanced SQL, reporting, data analysis, and/or visualization
- 5+ years of experience with Python for data analytics and data science projects
- 5+ years of experience with BI/Analytics tools (e.g., Looker, Tableau, PowerBI)
- Professional experience supporting data needs across various departments (marketing, product, finance, etc.)
