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Senior Analytics Engineer - US

CompraTica Empleos

EMP:Marketing
USA
Tiempo Completo
Remoto
0 vistas

Descripción

Luxury Presence is building the AI growth platform for real estate.

Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue.

More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.

The Role We're looking for a Senior Analytics Engineer to build and scale the analytical foundation that powers decision-making across Go-to-Market, Product, Finance, People, and Operations teams.

You will sit at the intersection of data engineering and analytics: transforming raw product, marketing, financial, and operational data into clean, well-modeled, and trustworthy datasets.

Your work will power everything from executive dashboards and cohort analyses to experimentation, billing operations, AI-powered outreach, and semantic layers that let AI agents answer stakeholder questions autonomously.

This is a highly cross-functional role — you'll partner closely with Product Management, Marketing, RevOps, Finance, People Ops, and Engineering to ensure our analytics stack is robust, scalable, and aligned with the business.

Responsabilidades

Build & Own the Data Foundation Own and evolve our dbt project — ensuring models are performant, well-tested, and documented

Design and maintain the Snowflake data warehouse and ingestion processes.

Use modern data modeling best practices to create core entities and datasets that account for complex business processes and logic.

Build and maintain custom Python/Airflow pipelines to ingest data from third-party APIs into Snowflake.

Design and operate cross-system reconciliation models that compare data across source systems to surface discrepancies and protect revenue.

Drive Data Quality & Automation Implement testing and observability for analytics pipelines.

Enforce CI/CD best practices, such as automation, linting, tests, code review and approvals.

Standardize metric d.

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