Note: The job is a remote job and is open to candidates in USA. Cityblock Health is a healthcare organization focused on improving care for the populations it serves. The Analytics Lead owns a squad’s data-product area, leads analytics and reporting development, establishes trusted metrics and engineering standards, partners across technical and non-technical teams, and mentors analysts. The role also drives AI-enabled workflows and delivers adopted, self-serve data products.
Responsibilities
- **Technical capability —** Architect and personally lead hands-on development of the analytics and reporting solutions for a squad's domain, own its semantic definitions and metrics as the single source of truth, and enforce engineering standards (Git branching, PR review, CI/CD testing) so the squad's work is trustworthy and reusable
- **Collaboration within the Tech org —** Act as the key technical partner to engineering, data science, and product for your domain — aligning on shared architecture, data contracts, and interfaces, and representing analytics' needs in technical design discussions
- **Cross-functional (non-Tech) collaboration —** Build trusted, durable partnerships with clinical, operational, and research leaders; identify the levers that drive system change, pull them through the right analysis, and measure and communicate the results back in their language
- **AI-native ways of working —** Champion AI-enabled development and early conversational-analytics workflows for the squad, establishing the patterns for how the team uses these tools and driving real adoption rather than one-off experimentation
- **Project management & stewardship —** Own and maintain a domain analytics roadmap in partnership with your manager, and ship self-serve, well-documented data products — not one-off dashboards — that achieve a high rate of adoption
- **Mentorship, influence & leadership —** Mentor Specialists and Senior Specialists to raise the squad's technical bar, and lead through influence beyond your immediate team — setting standards others choose to follow without any formal authority
Skills
- You lead through influence — you set direction and raise standards without formal authority
- You have strong, well-reasoned opinions about analytics engineering and how AI should reshape the workflow
- You enjoy mentoring and drawing out the best in the people around you
- Bachelor's degree in a quantitative field or equivalent practical experience
- 7+ years of analytics or analytics-engineering experience delivering scalable solutions in production
- Strong expertise in dbt, complex SQL, and cloud data warehouses
- Hands-on experience building and maintaining semantic layers / metrics frameworks
- Proven fluency with Git / GitHub and CI/CD workflows, plus demonstrated use of AI-assisted development tools
- Track record of mentoring analysts and establishing standards
- BigQuery / Looker preferred
Benefits
- Health insurance
- Life insurance
- Retirement benefits
- Participation in the company’s equity program
- Paid time off, including vacation and sick leave
Company Overview
Company H1B Sponsorship