Senior Analytics Engineer, People Analytics

<div class="content-intro"><p><em>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 <a class="_ymio1r31 _ypr0glyw _zcxs1o36 _mizu194a _1ah3dkaa _ra3xnqa1 _128mdkaa _1cvmnqa1 _4davt94y _4bfu18uv _1hms8stv _ajmmnqa1 _vchhusvi _kqswh2mm _ect4ttxp _syaz13af _1a3b18uv _4fpr8stv _5goinqa1 _f8pj13af _9oik18uv _1bnxglyw _jf4cnqa1 _30l313af _1nrm18uv _c2waglyw _1iohnqa1 _9h8h12zz _10531ra0 _1ien1ra0 _n0fx1ra0 _1vhv17z1" href="http://klaviyo.com/careers" data-renderer-mark="true">klaviyo.com/careers</a> to see how we empower creators to own their own destiny.</em></p></div><h2><span style="font-size: 12pt;"><strong>About the team and role</strong></span></h2> <p>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.</p> <p>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.</p> <p>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.</p> <h2><span style="font-size: 12pt;"><strong>How you’ll make a difference</strong></span></h2> <ul> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> </ul> <h2><span style="font-size: 12pt;"><strong>What you’ll do (responsibilities)</strong></span></h2> <ul> <li>Integrations ingestion: Own secure ingestion from HRIS/ATS/comp/performance systems into Snowflake; define SLAs/SLOs; implement monitoring alerting for each feed.</li> <li>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.</li> <li>Reverse ETL: Operationalize high‑value models to downstream tools and workflows using reverse‑ETL patterns to close the loop between insight and action.</li> <li>Quality governance: Implement tests (unit/integration, ... (truncated, view full listing at source)