Zocdoc: Staff Analytics Engineer — New York, NY

About Zocdoc

Zocdoc develops technology that helps patients find and book healthcare appointments. Its employer introduction describes both a healthcare marketplace and infrastructure supporting access to care through other search and provider channels. The stated focus is the path from seeking care to obtaining an appointment. Its work includes making booking accessible beyond its own marketplace, connecting patient-facing discovery with the systems used by healthcare providers and other organisations to make available appointments easier to reach.

The position and its setting

Zocdoc lists Staff Analytics Engineer in New York, NY, under reference 7659010. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Data & Analytics
• Employer listing date: 4 March 2026

Responsibilities and work described

• Zocdoc is seeking a Staff Analytics Engineer to join a centralized team responsible for defining, creating, and maintaining a scalable and robust analytics layer that powers Zocdoc’s strategic analytics, operations, and reporting capabilities
• As a Staff-level member, you'll lead the design and implementation of complex data transformations and production-grade data models, establishing standardized datasets that drive critical decision-making across the organization
• Collaboration: closely with Product Management, Product Engineering, Data Engineering, and Analytics teams, you'll ensure data solutions are strategically aligned, efficient, and consistently reliable, enabling teams across Zocdoc to rapidly gain meaningful insights from high-quality data
• Defining and enabling trusted, strategic datasets and analytics solutions that empower data consumers to quickly and reliably gain insights at scale
• Leadership: efforts to enhance self-serve analytics across the organization through advanced administration, adoption strategies, and training for analytics tools (Looker and Amplitude)
• Partnering strategically with analysts, product managers, and product engineers to ensure the analytics infrastructure meets evolving business requirements and is robust and maintainable
• Architecting and developing production-grade data transformations and models using SQL, DBT, and Dagster, ensuring optimal performance, maintainability, scalability, and reliability
• Collaboration: closely with data engineering on strategic infrastructure initiatives to enhance data ingestion, processing pipelines, and integration of new data sources
• Driving the establishment and continuous improvement of standards around data governance, security, privacy, quality, and retention, influencing best practices across the organization

Essential requirements and candidate background

• Excited about designing and building strategic data products that drive impactful outcomes across the entire organization
• Passionate about solving complex, high-impact problems using data and analytics at scale
• Committed to setting a high bar for technical excellence and continuously improving whatever you're working on
• A collaborative leader who enjoys working cross-functionally in a supportive and highly cooperative environment
• Enthusiastic about architecting scalable data solutions using cutting-edge technologies to support long-term business strategies
• 6+ years of experience as an analytics engineer, data engineer, or similar role
• 3+ years of experience using DBT & DBT Core, with a understanding of data modeling and data warehousing concepts
• Expertise in writing performant SQL, especially within cloud-based data warehouses like Snowflake, and have Looker developer skills, with an emphasis on LookML modeling and overall project design
• Experience managing the administration and/or adoption of data visualization tools (e.g. Looker) and event-based analytics/user journey tools (e.g. Amplitude)
• Navigate ambiguity and work with urgency in a fast-moving environment with multiple stakeholders
• Good communication skills across all levels of stakeholders (business & technical) with the ability to influence and build consensus
• Proficiency: Python
• Experience: Dagster or other orchestration tools
• Experience utilizing AI Codegen to improve the efficiency of your workflow
• Experience: data governance principles, KPI management, and supporting data operations for business intelligence

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• NYC Base Salary Range: $180,000 — $250,000 USD
• Advertised location: New York, NY

Benefits mentioned by the employer

• 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

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Staff Analytics Engineer vacancy is not an offer for reference 7659010; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Zocdoc

Applications follow the official employer page linked below.

Open the official Zocdoc posting below and match the title and reference 7659010.

Compare your qualifications and experience with the essential conditions for the New York, NY position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• AI/ML
• AI
• insurance
• training
• warehouse operations
• stakeholder management
• communication