Senior Analytics Engineer, Sales Analytics (GTM Data Engineering)
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Job Location:
Boston, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
About the team and role
Data is at the heart of every decision made at Klaviyo and were 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 CS&S 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.
Youll 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.
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. Youll be supported by the broader Data Engineering organizations standards tooling and review practices.
How youll make a difference
- 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.
- Own the pipelines & models endtoend. Build and maintain reliable integrations from core sales systems (e.g. CRMs/ROP/ERPs) model them in dbt and publish governed marts and reverseETLs to operational destinations where they create value.
- 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
- 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.
- Operate as a trusted partner to leadership. Work directly with Operations and Sales leadership to scope problems clarify tradeoffs and communicate technical concepts in execready language.
What youll do (responsibilities)
- Integrations & ingestion: Own secure ingestion from ROP/ERP/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 performance history forecasting and pipeline movement; publish curated marts with strong contracts and lineage.
- Reverse ETL: Operationalize highvalue models to downstream tools and workflows using reverseETL patterns to close the loop between insight and action.
- Quality & governance: Implement tests (unit/integration schema/freshness) multi-layered validation frameworks that routinely validate data integrity data policies (masking purposebased access) and documentation that enable safe selfservice 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 Revenue and Sales Operations/ Analytics (primary) HRIS/People Tech (security/integration) Finance (plan/comp interfaces) and BI/Platform teams (shared standards).
Who you are (qualifications)
- 35 years in analytics/data engineering with production ELT in Snowflake dbt SQL; Python for orchestration/utilities.
- Strong demonstration of Sales Operations
- Demonstrated independence partnering with senior nontechnical leaders; able to translate openended needs into scalable data products.
- Proven experience implementing tests monitoring and documentation that keep pipelines healthy and reporting trustworthy.
- Experience building data integrations and reverseETL 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.
The tools youll use
Snowflake dbt Airflow Fivetran Workato Python AWS Tableau/Looker/ThoughtSpot; publishing via reverseETL where appropriate.
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Required Experience:
Senior IC
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
Klaviyo unifies AI-powered email marketing and SMS to drive growth, retention, and measurable results. Build personalized, omnichannel experiences across WhatsApp, ecommerce, and more with K:AI Agents.
