Senior Analytics Engineer

Job Description

• Zocdoc is seeking a Senior Analytics Engineer who will be part of a centralized team focused on creating and maintaining a robust analytics layer that powers Zocdoc's analytics, operations, and reporting tools that enable the business to answer questions quickly, consistently, and reliably. You will take ownership of transforming raw data into production-quality models and creating sanctioned datasets that drive all critical analysis across the organization. You will also work closely with our Product Management, Product Engineering, Data Engineering, and Product Analytics teams to ensure data is created efficiently, repeatedly, and reliably for all teams involved. You will take ownership of large projects, acting as a lead for a portion of the Analytics Engineering team.

Qualifications

• 5+ years experience as an analytics engineer, data engineer, or similar role • 2+ years of experience using dbt, 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 have 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, Tableau) 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 • Experience as a mentor or team/tech lead, with the desire and drive to grow into a management role • Humility. You believe in treating all people with dignity and respect, regardless of title or tenure, and you approach tough conversations with empathy • Plus: ◦ Experience with Dagster or other orchestration tools ◦ Python coding skills, particularly in the areas of automation & integrations ◦ Experience with data governance principles, KPI management, and supporting data operations for business intelligence

Benefits

• Flexible, hybrid work environment • Unlimited PTO • 100% paid employee health benefit options • Employer funded 401(k) match • Corporate wellness programs with Headspace and Peloton • Sabbatical leave (for employees with 5+ years of service) • Competitive parental leave • Cell phone reimbursement • In office perks including: ◦ Catered lunch everyday along with snacks ◦ Commuter Benefits ◦ Convenient Soho location