Senior Analytics Engineer
About The Position
As a Senior Analytics Engineer, you'll own how Genius AI models, defines, and trusts its data. You sit at the intersection of data and the business, curating data so that it can be used to drive insights, strategy, and decision making. Our agentic products are scaling and our architecture is moving toward a more software-oriented model, which means the dbt project you design now will set the standard for how we understand customer behavior and how our AI-powered products make decisions. You won't inherit a finished playbook. You'll write one, and you'll ship changes in days, not quarters, with the judgment to know when to slow down. We expect you to challenge how we work, not just execute against it. You will report to the Analytics Engineering Manager. You must be commutable to our NYC headquarters and will operate in an in-person environment. We default to being in-office 3–4 days per week with required attendance on Tuesdays and Thursdays.
Requirements
- 5+ years of experience as an analytics engineer, data engineer, or reporting engineer, with 2+ years of hands-on dbt development
- You've built AI-assisted workflows for modeling, testing, or documentation rather than only using AI-assisted editors
- Default to action: you set a direction, ship something, and iterate on what you learn instead of waiting weeks for perfect alignment
- Advanced SQL proficiency, with a track record of writing models that stay fast and readable as data volume grows
- Hands-on experience with data modeling, ETL/ELT development principles, and data warehousing concepts
- Familiarity with our stack (Snowflake, dbt, Hex, Segment, Matia, Fivetran, Airflow) preferred
Responsibilities
- Own the architecture of our dbt project, including design patterns, modeling standards, and the best practices that keep a fast-growing codebase consistent through staging, intermediate, and mart layers
- Partner with PDE (product, design, engineering) teams to support new features and architectural changes by reviewing design docs, creating or updating dbt models as data sources evolve, and validating that metrics, reports, and downstream consumers stay accurate
- Build, refactor, and optimize dbt models that turn raw product and customer data into accurate, scalable datasets, iterating on a weekly cadence and correcting fast when the data says we're wrong
- Use AI to build, not just work: design automated testing, documentation, and data-access workflows that scale beyond your own capacity and free your judgment for the problems that need it
- Collaborate with data engineering to shape ingestion and transformation pipelines across Segment, Fivetran, and Airflow as we move toward a software-oriented architecture
- Drive data privacy, governance, and quality standards that protect the integrity of the data our customers trust us with
Benefits
- Competitive health & dental insurance options, effective on your first day of employment
- Flexible PTO
- In-office lunch twice per week for NYC and SF employees, plus late night dinner stipends
- Access to Wellhub, a corporate wellness platform with discounted gym memberships, fitness classes, and mental health resources
- Annual stipend for professional development and continued learning
- High performers at 5 years receive a $5,000 bonus to use however you recharge best
- 401k benefit: employees are eligible to contribute starting day 1 of employment
- Dependent Care FSA
- Paid parental leave
- Fertility and adoption benefits via Carrot and Kindbody
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
