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Staff Analytics Engineer
- New York, New York, United States
- New York, New York, United States
À propos
You’ll enjoy this role if you are…
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
Your day to day is…
Defining and enabling trusted, strategic datasets and analytics solutions that empower data consumers to quickly and reliably gain insights at scale
Leading 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
Collaborating 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
You’ll be successful in this role if you have…
6+ years of experience as an analytics engineer, data engineer, or similar role
3+ years of experience using DBT & DBT Core, with a strong understanding of data modeling and data warehousing concepts
Expertise in writing performant SQL, especially within cloud‑based data warehouses like Snowflake, and strong 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)
Ability to 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 with Python
Experience with Dagster or other orchestration tools
Experience utilizing AI Codegen to improve the efficiency of your workflow
Experience with data governance principles, KPI management, and supporting data operations for business intelligence
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
NYC Base Salary Range: $180,000—$250,000 USD.
Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate’s experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details.
Zocdoc is an equal‑opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.
Job Applicant Privacy Notice: We’re proud of how we treat applicant data. We keep it secure and confidential.
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Compétences linguistiques
- English
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