Senior Analytics Engineer
Boston, MA
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 careers.klaviyo.com to see how we empower creators to own their own destiny.
Klaviyo is looking for a Senior 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. 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. 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 you’ll make a difference
- End‑to‑end data: Design, build, and own production‑grade dbt models that power key Product metrics—complete with testing and documentation. You will treat datasets as products, not tasks.
- Roadmap leadership: Scope and deliver large-scale, cross-functional projects with self-direction.
- Cross‑functional alignment: Act as the data ambassador between Product Analytics, core Engineering, Business Intelligence, and Legal—ensuring that RFCs, DB migrations, and new features land with data contracts intact.
- Mentorship: Raise the bar for the team by leading design reviews, establishing style guides, and coaching Product Analysts on advanced SQL patterns, performance tuning, and observability.
- Tooling: Evolve our internal analytics platforms and help to incorporate new tooling to accelerate the analysts at Klaviyo. Able to jump into Airflow, Terraform, RDS, S3, or other infrastructure tools to unblock the team - even if it’s not a core part of the day-to-day.
What excites you:
- Owning the full lifecycle of data pipelines—from event instrumentation guidelines to semantic‑layer metrics and user‑facing dashboards.
- Diving deep into performance bottlenecks (query plans, warehouse sizing, lineage graphs)
- Translating stakeholder needs into elegant, future‑proof data models that “just work.”
- Helping teammates level up through thoughtful reviews and pair‑sessions.
Who you are:
- 5+ years building analytics or data‑engineering solutions in a modern warehouse (Snowflake/BigQuery/Redshift).
- Mastery of SQL (window functions, JSON parsing, dynamic SQL) and dbt—a strong sense for optimizing lineage graphs.
- Strong fluency in at least one object oriented language (Python or R)
- Proven experience owning multi‑month projects with minimal guidance
- Deep understanding of CI/CD, data‑contract testing, and infrastructure‑as‑code (GitHub Actions, Terraform, Airflow).
- Ability to influence engineers and analysts alike, translating between technical detail and product impact.
- Clear, proactive written and verbal communication—the kind that prevents surprises and builds trust.
Nice to have:
- Experience deploying or refactoring Shiny or other internal data apps (e.g., AWS EC2).
- Prior work with event‑streaming systems, CDC pipelines, or large‑scale schema migration projects.
- Familiarity with experimentation frameworks (e.g., StatSig) and metric‑store/semantic‑layer concepts.
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. Please visit Klaviyo Rewards to find out more about our Total Rewards package.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
Base Pay Range For US Locations:$124,000—$186,000 USDGet 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.
IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here. ApplyJob Profile
Fully remote not considered Hybrid role Hybrid role with 3 days/week in Boston office Remote
Benefits/Perks Tasks- Collaborate with product and engineering teams
- Design and build data models
- Develop dashboards and metrics
- Ensure data quality and compliance
- Improve analytics tooling
- Lead data projects
- Manage data pipelines
- Mentor analysts
- Optimize data workflows
- Translate stakeholder needs into data solutions
Airflow Analytics BigQuery Code Review Communication Cross-functional Collaboration Customer Success Dashboard Development Data Contracts Data documentation Data engineering Data Lineage Data Lineage Graphs Data Lineage Management Data migrations Data Modeling Data Pipeline Lifecycle Management Data Pipelines Data platform development Data Quality Data testing Data Visualization Data Warehousing Dbt Documentation Dynamic SQL Event Instrumentation Experimentation JSON Parsing Leadership Mentorship Messaging Platforms Observability Performance bottleneck analysis Performance Tuning Python Query optimization R Redshift S3 Sales Semantic Layer Snowflake SQL Stakeholder communication Terraform Warehouse Sizing
Experience5 years
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9