Senior Analytics Engineer, People Analytics
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.
About the team and role
Data is at the heart of every decision made at Klaviyo, and we’re looking for a Business Intelligence Data Engineer to join our Business Intelligence (BI) team supporting People Analytics. This domain of data aims to improve the experience of all Klaviyos, from culture and engagement to retention and satisfaction. This role sits in Data Engineering as part of the BI team and is fully dedicated to People Analytics as a sponsored headcount.
You’ll build and steward the source of truth for people data so People leaders and analysts can answer lifecycle questions quickly and confidently and turn those insights into a healthier, higher-performing organization.
You will be an independent, embedded partner to People leadership, capable of translating ambiguous requirements into stable data products. You’ll be supported by the broader Data Engineering organization’s standards, tooling, and review practices.
How you’ll make a difference
- Deliver people‑data SSoT that drives employee experience. Stand up curated, documented marts that make it easy to monitor org health, retention, hiring, performance, movement, and comp cycles so that leadership can act earlier and more precisely.
- Own the pipelines & models end‑to‑end. Build and maintain reliable integrations from core HR systems (e.g., HRIS/ATS/OKR/comp), model them in dbt, and publish governed marts and reverse‑ETLs to operational destinations where they create value.
- Create lifecycle views with People Analytics. Partner with analysts to build hire→onboard→develop→promote→compensate→offboard lifecycle views and “employee 360” profiles that reduce swivel‑chair reporting and speed up decision cycles.
- Raise the bar on data reliability and governance. Instrument monitoring and alerting, tests (freshness/volume/constraints), and documentation so the people data ecosystem is discoverable, auditable, and self-serve.
- Operate as a trusted partner to leadership. Work directly with People leadership to scope problems, clarify trade‑offs, and communicate technical concepts in exec‑ready language.
What you’ll do (responsibilities)
- Integrations & ingestion: Own secure ingestion from HRIS/ATS/comp/performance systems into Snowflake; define SLAs/SLOs; implement monitoring & alerting for each feed.
- Modeling & marts: Design dimensional/entity models (dbt) for employees, positions, org structure, requisitions/offers, performance/promo history, compensation/equity, and movement; publish curated marts with strong contracts and lineage.
- Reverse ETL: Operationalize high‑value models to downstream tools and workflows using reverse‑ETL patterns to close the loop between insight and action.
- Quality & governance: Implement tests (unit/integration, schema/freshness), data policies (masking, purpose‑based access), and documentation that enable safe self‑service across the analytics community.
- Repository stewardship: Maintain the analytics codebase (dbt repo), perform code reviews, and ensure modular, reusable patterns the broader team can adopt.
- Stakeholder partnership: Run an intake & engagement model with People Analytics (primary), HRIS/People Tech (security/integration), Finance (plan/comp interfaces), and BI/Platform teams (shared standards).
Who you are (qualifications)
Must‑have
- 3–5+ years in analytics/data engineering with production ELT in Snowflake + dbt + SQL; Python for orchestration/utilities.
- Demonstrated independence partnering with senior, non‑technical leaders; able to translate open‑ended needs into scalable data products.
- Proven experience implementing tests, monitoring, and documentation that keep pipelines healthy and reporting trustworthy.
- Experience building data integrations and reverse‑ETL pipelines that support business operations.
- Airflow (orchestration) and Fivetran/Workato (ELT/integration).
- Familiarity with data privacy controls (masking/RLS) in people data.
- AWS experience (S3/EC2/Lambda) and IaC/Terraform.
- You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
The tools you’ll use
Snowflake, dbt, Airflow, Fivetran, Workato, Python, AWS, Tableau/Looker/ThoughtSpot; publishing via reverse‑ETL where appropriate.
Success measures & ramp plan (30/60/90)
- 30 days: Access/RBAC in place; landscape documented; agree with People leadership on the first lifecycle views and SSoT scope; monitoring baselines defined.
- 60 days: Core HRIS ingestion + tests/alerts live; first curated marts (headcount/movement, recruiting funnel) powering People Analytics dashboards; reverse‑ETL pilot to an operational destination.
- 90 days: Extend coverage (e.g., performance, compensation); publish employee 360 profile model; codify governance/RLS for sensitive attributes; usage dashboard for self‑serve adoption.
What this role is not
- Not a Workday configuration/HRIS admin role.
- Not an infra‑only platform role. This is hands‑on modeling + ELT + reverse‑ETL in service of People Analytics.
Our commitment to candidates
We value unique backgrounds and experiences; even if you don’t match every bullet, we encourage you to apply. Klaviyo is an equal‑opportunity employer.
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
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.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
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.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
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.