Analytics Engineer

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a cl...

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

We’re looking for a Senior Analytics Engineer to own end-to-end data pipelines and modeling across GTM (Sales) and Product domains. You’ll build and maintain the source of truth for operational and product data, enabling leadership, analysts, and product teams to answer complex questions with confidence. This role c...

 
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, ensuring alignment on data contracts and governance
Lead and mentor others through design reviews, best practices, and technical guidance
Evolve internal tooling and infrastructure to improve developer and analyst productivity

 
Data Modeling & Pipelines: Build and maintain production-grade dbt models in Snowflake
Integrations & Ingestion: Own ingestion from systems like Salesforce, ERP, and product data sources
Reverse ETL: Push high-value data models into downstream tools and workflows
Data Quality & Governance: Implement testing frameworks, monitoring, and documentation to ensure trust and compliance
Cross-Functional Partnership: Work closely with Sales Ops, Product Managers, Engineering, Finance, and GTM teams
Repository Stewardship: Maintain dbt codebase, enforce best practices, and ensure scalability
Tooling & Infrastructure: Contribute to Airflow, Terraform, AWS, and other platform tools as needed

 

5+ years of experience in analytics or data engineering in a modern data stack (Snowflake, BigQuery, or Redshift)
Strong expertise in SQL and dbt, with a focus on building scalable, production-grade data models
Proficiency in Python (or similar) for orchestration or tooling
Experience owning end-to-end data workflows, from ingestion to business impact
Ability to translate ambiguous business needs into structured data solutions
Strong communication skills with the ability to partner with non-technical stakeholders
Experience implementing data testing, monitoring, and governance frameworks
Proven ability to lead cross-functional projects with minimal guidance

 
Experience with Sales Operations, compensation, or GTM analytics
Familiarity with reverse ETL tools and workflows
Experience with Airflow, Fivetran, Workato, or similar tools
AWS experience (S3, EC2, Lambda) and infrastructure-as-code (Terraform)
Exposure to experimentation frameworks or product analytics systems
Experience with data privacy controls (masking, role-based access, compliance)
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. 
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.