Staff Analytics Engineer
About The Position
Zocdoc is seeking a Staff Analytics Engineer for a centralized team that defines, creates, and maintains a scalable, robust analytics layer supporting strategic analytics, operations, and reporting. This Staff-level role leads the design and implementation of complex data transformations and production-grade data models, establishing standardized datasets that support critical decisions across the organization. The role partners closely with Product Management, Product Engineering, Data Engineering, and Analytics teams to deliver strategically aligned, efficient, and reliable data solutions. It focuses on enabling teams to gain meaningful insights from high-quality data, improving self-serve analytics, and building scalable data products and infrastructure for long-term business needs. The position is based in a flexible hybrid work environment at Zocdoc’s Soho location.
Requirements
- At least 6 years of experience as an analytics engineer, data engineer, or in a similar role.
- At least 3 years of experience using DBT and DBT Core, with a strong understanding of data modeling and data warehousing concepts.
- Expertise writing performant SQL, especially in cloud data warehouses such as Snowflake.
- Strong Looker developer skills, particularly LookML modeling and overall project design.
- Experience managing administration and/or adoption of data visualization tools such as Looker and event-based analytics or user journey tools such as Amplitude.
- Ability to navigate ambiguity and work urgently in a fast-moving environment with multiple stakeholders.
- Strong communication skills with business and technical stakeholders at all levels, including the ability to influence and build consensus.
- Proficiency with Python.
- Experience with Dagster or other orchestration tools.
- Experience with data governance principles, KPI management, and supporting data operations for business intelligence.
Nice To Haves
- Experience using AI Codegen to improve workflow efficiency.
Responsibilities
- Define and enable trusted, strategic datasets and analytics solutions so data consumers can gain insights quickly and reliably at scale.
- Lead efforts to improve self-serve analytics across the organization, including administration, adoption strategies, and training for Looker and Amplitude.
- Partner with analysts, product managers, and product engineers to ensure analytics infrastructure meets evolving business requirements and remains robust and maintainable.
- Architect and develop production-grade data transformations and models using SQL, DBT, and Dagster, optimizing performance, maintainability, scalability, and reliability.
- Collaborate with Data Engineering on strategic infrastructure initiatives, including data ingestion, processing pipelines, and integration of new data sources.
- Establish and continuously improve standards for data governance, security, privacy, quality, and retention, influencing organizational best practices.
Benefits
- Flexible hybrid work environment at the company’s 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 or more years of service.
- Paid parental leave and fertility/family planning reimbursement.
- Cell phone reimbursement.
- Catered lunch every day, along with beverages and snacks.
- Employee Resource Groups and ZocClubs to promote community and belonging.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
