HighLevel
201 - 500 employees
Founded 2018
☁️ SaaS
🤝 B2B
💰 Series A on 2021-11
SaaS • Marketing • B2B
HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.
Staff Analytics Engineer – Customer Data Platform
🕒 March 24
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HighLevel
201 - 500 employees
Founded 2018
☁️ SaaS
🤝 B2B
💰 Series A on 2021-11
SaaS • Marketing • B2B
HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.
📋 Description
• Define and govern the product event taxonomy across services and applications • Partner with engineering teams to establish clear instrumentation contracts and naming standards • Own the modeling patterns that translate event collection pipelines into durable warehouse datasets • Ensure event data is reliable, deduplicated, and usable for analytics and modeling • Transform raw events into reusable behavioral datasets such as sessions, feature usage, funnels, retention cohorts, and customer journeys • Design models that enable product teams to analyze feature adoption, engagement, and lifecycle behavior • Maintain modeling patterns that support both exploratory analysis and production use cases • Define and maintain canonical entities such as Agency, Location, Contact, Conversation, Campaign, Spend, Usage, and Outcomes • Establish durable fact and dimension models that connect behavioral events to business entities • Ensure relationships between entities remain consistent and scalable across teams and product surfaces • Build warehouse models that power product analytics platforms • Ensure metrics in analytics tools and warehouse metrics resolve to the same definitions • Provide standardized datasets for funnels, cohorts, retention analysis, and product experimentation • Build behavioral and feature‑ready datasets used by data science for lifecycle modeling, experimentation, and prediction • Ensure datasets are stable, versioned, and reproducible for downstream ML workflows • Establish modeling patterns, dbt conventions, macros, and documentation standards used across analytics engineering • Design tenant‑safe models that support multi‑tenant workloads and high‑concurrency analytics • Partner with platform teams to ensure models are performant for both internal analytics and in‑app experiences • Define tests, freshness expectations, and invariants for behavioral datasets • Implement automated validation for event completeness and schema consistency • Partner with platform and engineering teams to detect and resolve issues before they impact analytics or customers • Establish reusable modeling patterns and best practices • Review work from analytics engineers and raise the bar for correctness, clarity, and maintainability • Help shape the long‑term architecture of the behavioral data platform
🎯 Requirements
• 9+ years in analytics engineering, data engineering, or data architecture • Deep expertise in SQL and dbt, including testing, documentation, and version‑controlled workflows • Strong experience modeling event‑based or product usage data at scale • Experience working with modern event collection systems and product analytics platforms • Proven ownership of canonical datasets or semantic layers used by multiple teams • Strong judgment around metric definitions, change management, and keeping data consistent across a growing platform
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