Join Klaviyo as an Analytics Engineer in Boston

At Klaviyo, we cherish the unique backgrounds, experiences, and perspectives each team member (we call ourselves Klaviyos) brings to our workplace daily. We believe everyone deserves a fair shot at success and value the diverse experiences each individual brings beyond traditional job requirements. Even if you’re a close but not exact match with the job description, we encourage you to apply. To learn more about life at Klaviyo, visit our to see how we empower creators to own their destinies.

Position: Analytics Engineer

Klaviyo is actively seeking an Analytics Engineer to join our growing R&D team. Data is at the core of who we are as a company. You will play a crucial role in data engineering, ensuring scalable, compliant, and efficient data practices, while deriving insights through analysis. Our team collaborates closely with product managers and engineers, aiming to serve the needs of customers within specific product areas.

Located in the heart of downtown Boston, Klaviyo builds software that enables tens of thousands of businesses to develop more relevant and personal relationships with billions of consumers. As a product-driven company, we over-invest in creating beautiful, efficient, and fast workflows, helping our customers achieve the previously unimaginable. We motivate each other to step out of our comfort zones, learn new technologies, and continuously improve.

Responsibilities:

• Build new production datasets in SQL (DBT) to enhance data availability and accessibility, using window functions, conditional logic, JSON parsing, dynamic SQL, advanced data cleaning, and performant lineages/tasks.
• Manage an internal analytics platform (Shiny-Server on AWS Ubuntu) to streamline data workflows for internal R&D consumption.
• Ensure smooth management of data systems with robust testing and validation to minimize disruptions and downtime.
• Enable efficient data processing and analysis according to company needs, including some ad-hoc analyses.
• Understand North Star metrics and analytics use-cases to facilitate effective conversations with product area leads.
• Develop robust, consistent, and future-proof data solutions.
• Own the data roadmap for new product areas, aligning with long-term vision support.
• Advocate for efficient automation and tooling development to improve team productivity.

Qualifications:

• 2+ years of professional experience in data engineering, specifically in SQL, data warehouses, and object-oriented programming languages (Python/R).
• Knowledge of data engineering best practices, including data discovery, data documentation, infrastructure development/deployment, and information security.
• Value the importance of a well-designed, future-proof data environment; a creator at heart.
• Systematic thinker, enjoying solving creative technical problems and collaborating closely with a team.
• Able to diagnose key data trends, interpret the root cause of variances, and proactively surface important trends to product area leads.
• Bias towards learning and constant iteration.
• Self-motivated with the ability to work independently.
• Strong communication and organizational skills.

Nice to Have:

• Degree in Engineering, Computer Science, Data Science, or another quantitative field.
• Working knowledge of infrastructure/dev ops (AWS, Airflow, Terraform, Github CLI).
• Experience with Analytics Platform development.
• Experience with datasets for SaaS or web-based technologies.
• Familiarity with scripting languages for Rest APIs/JDBC.

Compensation and Benefits:

The pay range for this role is $112,000—$168,000 USD. Sales roles are also eligible for variable compensation, and hourly non-exempt roles are eligible for overtime as per applicable laws. This role is eligible for benefits, including medical, dental and vision coverage, health savings accounts, flexible spending accounts, 401(k), flexible paid time off, company-paid holidays, and a culture of learning with a learning allowance and access to professional coaching services for all employees.

About Klaviyo:

We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destinies by making first-party data accessible and actionable like never before. We see limitless potential for