Analytics Engineer

Bostonfull timeOn Site

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mid

$112k–$168k

H1B: yes

Klaviyo The Senior Analytics Engineer at Klaviyo owns end-to-end data pipelines and modeling across Sales and Product domains, building scalable and reliable data systems. This role partners with multiple teams to enable self-service analytics and ensure data quality and governance.

Responsibilities

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 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 organization’s standards, tooling, and best practices. You’ll help build the foundation that powers everything from forecasting and compensation to product insights and experimentation.
How You’ll 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
Data Modeling & Pipelines: Build and maintain production-grade dbt models in Snowflake

Qualification

Strong expertise in SQL and dbtExperience implementing data testingExperience with Sales OperationsExperience with AirflowAWS experience (S3Massachusetts Applicants

Required

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

Preferred

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.