Senior Analytics Engineer

Zocdoc•New York, NY

4h•Hybrid

About The Position

As a Senior Analytics Engineer, you’ll help build and scale the trusted analytics layer that powers decision-making across Product, Operations, Finance, and Go-To-Market. You’ll lead a meaningful slice of our Analytics Engineering roadmap and own high-impact datasets end-to-end including: design, implementation, testing, documentation, rollout and ongoing reliability. This is a hands-on, senior IC role with significant technical ownership and cross-functional influence. You’ll enjoy this role if you are… Passionate about building scalable data products that power decisions across the entire company Uncompromising when it comes to code quality, clarity, and maintainability Driven by building domain expertise, staying close to business problems and partnering with stakeholders to turn ambiguous questions into reliable datasets and metrics

Requirements

5+ years in Analytics Engineering / Data Engineering, with ownership of production data models used by multiple teams
Expertise in SQL and proficiency in Python (or another general-purpose language) for tooling and automation
2+ years of hands-on dbt experience in production
Experience with orchestration (Dagster, Airflow, or equivalent) and building reliable, observable pipelines
Experience building tools to enable AI-driven analytics
Strong fundamentals in dimensional modeling (e.g., Kimball), event data modeling, and metric definition/standardization

Responsibilities

Evolving Zocdoc’s analytics layer: building curated datasets, dimensional models, and governed metrics used for reporting and decision-making
Designing and implementing production-grade transformations using SQL + dbt, with strong performance, testing, and documentation standards
Building and maintaining a semantic layer / metrics framework so teams measure the business consistently and reliably
Improving data reliability: SLAs, freshness/quality monitoring, alerting, and incident response for critical tables and metrics
Partnering with Data Engineering on upstream improvements (event logging, source-of-truth definitions, ingestion patterns, and new data sources)
Enabling self-serve analytics by improving tooling, access patterns, and governance
Leading projects end-to-end, including writing design docs, driving alignment, and mentoring peers through reviews and pairing

Benefits

Flexible, hybrid work environment at our convenient Soho location
Unlimited Vacation
100% paid employee health benefit options (including medical, dental, and vision)
Commuter Benefits
401(k) with employer funded match
Corporate wellness program with Wellhub
Sabbatical leave (for employees with 5+ years of service)
Competitive paid parental leave and fertility/family planning reimbursement
Cell phone reimbursement
Catered lunch everyday along with beverages and snacks
Employee Resource Groups and ZocClubs to promote shared community and belonging
Great Place to Work Certified