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Analytics Engineer



Data Science
Boston, MA, USA
Posted on Friday, June 21, 2024

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 close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit to see how we empower creators to own their own destiny.

Klaviyo is looking for an Analytics Engineer to join our growing R&D team. Data is core to who we are as a company, and you will play a pivotal role in data engineering to ensure that Product Analytics is developing datasets in a scalable, compliant, and efficient manner, while also deriving insights through analysis. Our team works closely with product managers and engineers to best serve the needs of customers within specific product areas.

Klaviyo is located in the heart of downtown Boston. We build software that helps tens of thousands of businesses have more relevant and personal relationships with billions of consumers. We are a product-driven company and over invest in making beautiful, efficient, and fast workflows that help our customers accomplish what was previously unimaginable. We push each other to move out of our comfort zone, learn new technologies, and work hard to ensure each day is better than the last.

The ideal candidate is intellectually curious, proactive in seeking solutions to challenging problems, and highly focused on delighting our customers. This person will also act as the product-data ambassador for Business Intelligence, Engineering, and Legal. The Analytics Engineer will streamline data warehousing processes and practices, while also extending the trusted data sources by partnering with other analytics and engineering teams across Klaviyo.

How you will make a difference:

  • Build new production datasets in SQL (DBT) to enhance data availability and accessibility, enabling better-informed business decisions for R&D.
    Logic will include: window functions, conditional logic, JSON parsing, dynamic SQL, advanced data cleaning, and performant lineages/tasks.
  • Own and manage an internal analytics platform (Shiny-Server on AWS Ubuntu) that streamlines internal data workflows for internal consumption within R&D.
  • Ensure smooth management of data systems, with robust approaches to testing and validation, to minimize disruptions and downtime.
  • Enable efficient data processing and analysis that aligns with the company's needs, including some AdHoc analyses
  • Understand North Star metrics and analytics use-cases as it relates to the creation of new datasets, and facilitates effective conversations with product area leads
  • Ensure the development of robust, consistent, and future-proof data solutions.
  • Own data roadmap for new product areas, with support aligning to long term vision.
  • Advocate for effective automation and tooling development, improving overall team productivity.

Who you are:

  • You have worked in data engineering: including expertise in SQL, data warehouses, and object-oriented programming languages: specifically Python / R in an analytics or data science role for 2+ years professionally
  • You have knowledge of data engineering best practices (data discovery, data documentation, infrastructure development/deployment, and information security)
  • You value the importance of a well-designed, future-proof data environment; a creator at heart
  • You are a systematic thinker, enjoy finding creative technical solutions to hard problems and close collaboration with a team.
  • You are able to diagnose key trends in the data, interpret the root cause of variance with some support, and proactively surface important trends to product area leads.
  • You have a bias towards learning and constant iteration
  • You are self-motivated and have the ability to work independently
  • You have strong communication and organization skill

Nice to have:

  • You have a degree in Engineering, Computer Science, Data Science, or other quantitative field Working Infrastructure / dev ops knowledge (AWS, Airflow, Terraform, Github CLI)
  • Experience with Analytics Platform development
  • Experience with datasets for a SaaS or web-based technologies
  • Familiarity with scripting language for Rest APIs / JDBC

The pay range for this role is listed below. Sales roles are also eligible for variable compensation and hourly non-exempt roles are eligible for overtime in accordance with applicable law. This role is eligible for benefits, including: medical, dental and vision coverage, health savings accounts, flexible spending accounts, 401(k), flexible paid time off and company-paid holidays and a culture of learning that includes a learning allowance and access to a professional coaching service for all employees.

Base Pay Range For US Locations:
$112,000$168,000 USD

Get to Know Klaviyo

We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.

Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.

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