Senior Analytics Engineer – Product & Customer Analytics

1 week, 4 days ago
Full-time
Senior
Data Science and Analytics
HighLevel

HighLevel

HighLevel provides an all-in-one sales and marketing platform that agencies can white label and resell, offering tools and resources designed to help businesses consolidate their marketing efforts and achieve their growth objectives.

Internet Software & Services
251-1K
Founded 2018
$60M raised

Description

  • 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.

Requirements

  • 4+ years of experience in analytics engineering or data engineering roles.
  • Strong hands-on experience with dbt and SQL in production environments.
  • 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.
  • Comfort operating in production, including monitoring, backfills, and remediation workflows.
  • Experience working within modeling standards, event contracts, and definitions set by a CDP or similar team (preferred).
  • Experience partnering with product engineering teams and stakeholders to validate outputs and support safe consumption patterns (preferred).

Benefits

  • Remote-first work environment with distributed teams across 15+ countries.
  • Opportunity to work on a large-scale platform processing billions of API hits, messages, and hundreds of terabytes of data.
  • Collaborative, people-first culture focused on creativity and impact.
  • Equal Opportunity Employer with inclusive hiring practices.

Interested in this position?

Apply directly on the company website

Apply Now

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