Senior Analytics Engineer, Sales Analytics (GTM Data Engineering)

<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><strong>About the team and role</strong></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 Go To Market (GTM) team supporting Sales Analytics. This domain of data aims to improve the experience of Sales Operations and Analytics. Secondary to this, the role will support ancillary functions of the Partnerships Organization and collaborate with the CSS organization. This role sits in Data Engineering as part of the GTM team, which is part of a hub and spoke model of analytics engineering at Klaviyo.</p> <p>You’ll build and steward the source of truth for Sales Operational data so People leaders and analysts can answer questions quickly and confidently and turn those insights into a more incentivized, higher-performing organization. You will directly support the sales analytics teams at Klaviyo, working cross functionally with Systems, Deal Ops,, Audits, Planning, and Business Intelligence.</p> <p>You will be an independent self-serving, embedded partner to all of GTM leadership where Sales subject matter expertise is required, 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><strong>How you’ll make a difference</strong></h2> <ul> <li>Deliver Sales specific data modeling that drives better operational experience, is SOX compliant, and provides detailed insight into the day to day of operation as well as forecasting. Maintain and stand up curated, documented marts that make it easy for analytics to operate within a structured governance mandate that enables the Sales operations team to work fast and focus on their organizations with the safety of production ready data.</li> <li>Own the pipelines models end‑to‑end. Build and maintain reliable integrations from core sales systems (e.g., CRMs/ROP/ERPs), model them in dbt, and publish governed marts and reverse‑ETLs to operational destinations where they create value.</li> <li>Create attainment views with Compensation and People Analytics. Partner with analysts to build holistic views of the Sales lifecycle. Examples of focus are quicker cadences to booking and dynamic reconciliation processes</li> <li>Raise the bar on data reliability and governance. Instrument monitoring and alerting, tests (freshness/volume/constraints), and documentation so the sales data ecosystem is discoverable, auditable, and self-serveable.</li> <li>Operate as a trusted partner to leadership. Work directly with Operations and Sales leadership to scope problems, clarify trade‑offs, and communicate technical concepts in exec‑ready language.</li> </ul> <h2><strong>What you’ll do (responsibilities)</strong></h2> <ul> <li>Integrations ingestion: Own secure ingestion from ROP/ERP/performance systems into Snowflake; define SLAs/SLOs; implement monitoring alerting for each feed.</li> <li>Modeling marts: Design dimensional/entity models (db ... (truncated, view full listing at source)