Senior Analytics Engineer

1w1 week ago

Klaviyo

Boston, US · Full-time · $140,000 – $210,000

About this role

Data is at the heart of every decision at Klaviyo. The Analytics Engineering team sits within a hub-and-spoke model, partnering closely with Go-To-Market, Product, Engineering, and Business Intelligence teams. You’ll work at the intersection of business and engineering to build scalable, trusted data systems.

You’ll own end-to-end data pipelines and modeling across GTM (Sales) and Product domains. Build and maintain the source of truth for operational and product data, enabling leadership, analysts, and product teams to answer complex questions. Translate ambiguous needs into scalable data products while leveraging Data Engineering standards and tooling.

Operate as a trusted, embedded partner to stakeholders across Sales, Product, Analytics, Engineering, Finance, and Legal. Ensure alignment on data contracts and governance. This hybrid role requires 3 days per week in the Boston office; fully remote candidates will not be considered.

Build the foundation powering forecasting, compensation, product insights, and experimentation. Lead and mentor through design reviews, best practices, and technical guidance. Evolve internal tooling to improve developer and analyst productivity.

Requirements

5+ years of experience in an analytics engineering role
Experience building and maintaining dbt models in Snowflake
Expertise in designing dimensional data models
Proficiency with data ingestion from systems like Salesforce and ERP
Knowledge of reverse ETL workflows
Experience implementing data quality frameworks, testing, monitoring, and documentation
Familiarity with Airflow, Terraform, and AWS
Ability to partner cross-functionally with Sales Ops, Product Managers, Engineering, and Finance

Responsibilities

Own and deliver end-to-end data pipelines and models that power Sales and Product analytics
Build curated, governed data marts that enable fast, reliable decision-making
Design dimensional data models (dbt) for core entities such as accounts, pipeline, performance, and product usage
Partner with Sales, Product, and Analytics teams to create holistic views of the customer and product lifecycle
Raise the bar on data quality, testing, monitoring, and documentation
Enable reverse ETL workflows to operationalize insights into business systems
Act as a data ambassador across Product, Engineering, BI, and Legal
Build and maintain production-grade dbt models in Snowflake