HighLevel - Senior Analytics Engineer – Product & Customer Analytics
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
Requirements
• 4+ years of experience in analytics engineering or data engineering roles • Strong hands-on experience with dbt and SQL, and comfort operating in production • Proven experience building and maintaining reusable models with tests and documentation • Familiarity with event-based/product data and multi-tenant modeling patterns • Experience building production models for both warehouse analytics and low-latency analytics workloads
Responsibilities
• Develop and maintain dbt models that transform event and customer data into reusable dimensions and facts • Implement consistent transformations for identifiers, tenancy, deduplication, and time-based logic • Implement and maintain dbt tests for schema, freshness, and business logic validation • Investigate and remediate issues surfaced by tests, monitoring, or product stakeholders • Ensure models, columns, and metrics are well documented and aligned with standards • Maintain tags, ownership metadata, and lineage annotations where applicable • Build and maintain tables used by dashboards, segmentation, Ads Manager reporting, and embedded analytics • Refactor ad hoc or feature-specific logic into standardized reusable assets • Coordinate with Product Data Engineering and the CDP team on schema changes, backfills, and event data issues • Partner with product engineers to validate outputs and support safe consumption patterns • Customer-facing models remain correct, tested, and performant as product usage scales • New product reporting needs are met primarily through reusable assets, not one-off logic • Data issues are caught early and resolved systematically • Product teams can move faster because they build on standardized datasets
No credit card. Takes 10 seconds.