Analytics Lead

cityblockhealth; United States; On-site; USD 139,000 - 183,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Retirement benefits

Equity program

Paid time off

Job summary

Cityblock Health seeks an Analytics Lead to drive data products and analytics strategy across a squad. You will architect analytics solutions, define metrics, and work with engineering, data science, and product to align on data contracts and interfaces.

You will mentor analysts, champion AI-enabled workflows, and own a domain analytics roadmap, delivering self-serve data products with broad adoption and impact.

Qualifications

• Bachelor's degree 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 (BigQuery / Looker preferred).
• 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.

Responsibilities

• Architect and lead hands-on analytics and reporting solutions for a squad, defining metrics and ensuring trustworthiness.
• Partner with engineering, data science, and product on shared architecture and data contracts.
• Build durable partnerships with clinical, operational, and research leaders to measure impact.
• Champion AI-enabled development and conversational analytics workflows.
• Own and maintain a domain analytics roadmap and ship self-serve data products with high adoption.
• Mentor Specialists and Senior Specialists to raise technical standards through influence.

Skills

Analytics leadership

Mentoring analysts

Analytics engineering mindset

Education

Bachelor's degree in a quantitative field

Tools

dbt

BigQuery

Looker

Git / GitHub

CI/CD

Job description

Job Description

Analytics Lead is the pivot point of the ladder - the level at which you lead through influence rather than authority, and the point from which analysts branch toward people management (Analytics Manager) or deep technical leadership (Analytics Principal). You own a data-product area spanning a squad and raise the engineering and AI-first bar of the analysts around you, with no direct reports.

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.

Requirements

• 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 (BigQuery / Looker preferred).
• 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.

We take into account an individual's qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance, life insurance, retirement benefits, participation in the company's equity program, paid time off, including vacation and sick leave.

The actual offer will be at the company's sole discretion and determined by relevant business considerations, including the final candidate's qualifications, years of experience, skillset, and geographic location.

$139,000.00 - $183,000.00 Annual

Cityblock values diversity as a core tenet of the work we do and the populations we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.

We do not accept unsolicited resumes from outside recruiters/placement agencies. Cityblock will not pay fees associated with resumes presented through unsolicited means.