B

Senior Analytics Engineer (Founding Level)

bauhinia search partners • New York City Metropolitan Area
Visa Sponsorship Relocation
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Founding-level Senior Analytics Engineer to own the data stack from the gold layer onward. Key responsibilities include defining, modeling, and governing core business metrics for trusted data products. Requires 5+ years of experience, advanced SQL, dbt, and Snowflake, with a track record of cross-functional metric standardization.

Key Highlights
Own the gold layer and semantic/metrics layer for core business metrics.
Define and standardize metrics and data contracts across multiple teams.
Build trusted, reusable data products for BI, self-service analytics, and AI/LLM consumers.
Key Responsibilities
Own the gold layer and ensure core business metrics are modeled consistently and reliably.
Design and maintain the company’s semantic layer / metrics layer.
Define metrics and data contracts that are adopted across multiple teams.
Partner with stakeholders across the business to resolve disagreements around metric definitions.
Establish trusted, reusable data products that can support dashboards, reporting, self-service analytics, and AI/LLM-based consumers.
Partner on the company’s broader reporting and analytics revamp.
Expand data capture and improve the quality and usability of business-critical datasets.
Help manage and optimize analytics infrastructure costs, including Snowflake and dbt usage.
Improve documentation and create a more scalable, writing-first analytics culture.
Work closely with Data Engineering while maintaining clear ownership of analytics-layer modeling and governance.
Technical Skills Required
SQL dbt Snowflake
Benefits & Perks
$180K–$211.5K base + equity
Hybrid work model
Visa sponsorship may be considered
Nice to Have
dbt Semantic Layer, LookML / Looker, Cube, Sigma, self-service analytics tooling, semantic modeling, metrics governance, or data contracts.
Snowflake or dbt cost optimization.
Airbyte or Fivetran.
LLM or AI-enabled data products, structured chatbot context, MCP-style interfaces, or data products used by AI agents.
Client-facing analytics or consulting work.
Master’s degree in a relevant discipline.

Job Description

Senior Analytics Engineer for a Series B Venture backed Startup | New York City, NY | Hybrid Compensation: $180K–$211.5K base + equity

About the Company Our client is a fast-growing technology company building modern digital infrastructure for payments, transactions, and business operations.

As the company continues to scale its data and analytics capabilities, they are hiring a Senior Analytics Engineer to take foundational ownership of how core business metrics are defined, modeled, governed, and used across the organization. This is a highly visible role at the intersection of analytics engineering, data governance, business strategy, and cross-functional decision-making.

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