Senior Analytics Engineer
Salary
NYC Base Salary Range: $128,000 - $165,000
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.
You’ll enjoy this role if you are…
- Someone who is excited about building data products to push the whole company forward.
- Passionate for solving problems using data and analytics.
- Passionate about building the best version of whatever you’re working on.
- Someone who loves working in a highly collaborative and supportive environment.
- Passionate about building fully scalable data solutions with the latest technologies.
Your day to day is…
- Enabling data consumers to answer critical questions and gain insights using trusted, sanctioned data sets designed to be high-performance, reusable, and scalable.
- Supporting teams across the company to enable self-serve analytics through our Analytics tools (Looker and Amplitude) and owning the administration, adoption, and end-user training support of those tools.
- Collaborating with analysts, product managers, and product engineering to ensure our data for analytics can support all our data requirements and is easy to maintain.
- Writing production-quality data transformations in SQL using DBT and Dagster with an eye towards performance, maintainability, scalability, and reliability.
- Collaborating with data engineers on infrastructure projects to improve ingestion pipelines and sourcing new data.
- Drive standards for data governance, security, privacy, quality, and retention.
- Providing mentorship for members of the team while building best practices.
You’ll be successful in this role if you have…
- 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
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- 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.