Senior 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 youre a close but not exact match with the description we hope youll still consider applying. Want to learn more about life at Klaviyo Visit see how we empower creators to own their own destiny.

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. Youll work at the intersection of business and engineering owning core data models enabling self-service analytics and ensuring our data ecosystem is reliable scalable and compliant.

About the Role

Were looking for a Senior Analytics Engineer to own end-to-end data pipelines and modeling across GTM (Sales) and Product domains. Youll 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 combines deep technical execution with high-impact business partnership requiring you to translate ambiguous needs into scalable data products. You will operate as a trusted embedded partner to stakeholders while leveraging the broader Data Engineering organizations standards tooling and best practices. Youll help build the foundation that powers everything from forecasting and compensation to product insights and experimentation.Please note that this is a hybrid role that requires 3 days/week in our Boston office. Fully remote candidates will not be considered at this time.

How Youll Make a Difference

• 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

What Youll Do

• 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

Who You Are

• 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

Nice to Have

• 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)

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 youre a close but not exact match with the description we hope youll still consider applying. Want to learn more about life at Klaviyo Visit to see how we empower creators to own their own destiny.

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