Senior Data Analytics Engineer – AI-Enabled & BigQuery

Cityblock Health; United States; On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Retirement benefits

Equity program

Paid time off

Job summary

Cityblock Health is seeking a senior analytics lead to design and deliver scalable analytics and reporting solutions across the organization. You will partner with clinical, operations, and research teams to drive data-informed decisions and modernize our data infrastructure using dbt, Looker, and BigQuery.

The role emphasizes hands-on development, AI-assisted tooling, and adherence to engineering standards, with mentoring responsibilities for analysts and a focus on data quality and governance.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience).
• 7+ years of experience in advanced analytics or analytics engineering, delivering scalable solutions in production data environments.
• Deep expertise in dbt, complex SQL, and cloud data warehouses (Google Analytics tech stack: BigQuery, Looker highly preferred).
• Hands-on experience building and maintaining enterprise Semantic Layers / Models and metrics frameworks.
• Proven fluency with software engineering best practices for data teams, including Git / GitHub version control and CI/CD workflows.
• Experience leveraging AI workflows & AI-assisted development tools to optimize code generation, data pipeline building, and documentation.
• Demonstrated success acting as an IC technical lead, mentoring analysts, and establishing team-wide analytics standards.

Responsibilities

• Establish credibility and trusted partnerships with clinical, operational and research leaders to identify levers for broad system change, pull them, and measure and communicate the results.
• Architect and lead hands-on development of complex, enterprise-grade analytics and reporting solutions supporting the entire Analytics organization.
• Implement and configure reporting technologies in the Google tech stack (BigQuery, Looker), as well as advanced dbt data modeling and complex SQL.
• Design, standardize, and manage enterprise Semantic Models / Context to ensure a single source of truth for metrics across business domains.
• Champion and embed AI workflows and AI-enabled development tools into the daily analytics lifecycle to accelerate team velocity.
• Enforce modern analytics engineering standards, including version control (Git), branch strategies, pull request code reviews, and CI/CD testing frameworks.
• Perform complex descriptive analyses over production-scale data sets to drive business decisions. Interrogate data and explain patterns.
• Build-out real-time reporting and work with data tooling across Clinical, Product and Market.
• Ensure data quality and validation by building automated dbt testing and data cleansing techniques.
• Drive automation capabilities into reporting solutions and data pipelines.
• Retain and govern our central analytics dbt repository, semantic definitions, and technical documentation.
• Documentation and maintenance of domain-specific analytics roadmaps in partnership with team lead analysts.
• Serve as a technical mentor and sounding board for analysts across the department.
• Delivery of analytics supporting broad business needs and achieving a high rate of adoption for data-driven recommendations.

Skills

dbt

SQL

BigQuery

Looker

Git / GitHub

CI/CD

AI workflows

Mentoring

Analytics leadership

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related field

Tools

GitHub

Looker

dbt

Job description

Cityblock Health is seeking a senior analytics lead to design and deliver scalable analytics and reporting solutions across the organization. You will partner with clinical, operations, and research teams to drive data-informed decisions and modernize our data infrastructure using dbt, Looker, and BigQuery.

The role emphasizes hands-on development, AI-assisted tooling, and adherence to engineering standards, with mentoring responsibilities for analysts and a focus on data quality and governance.