Senior Analytics Engineer - CANADA (Remote)

2 hours, 15 minutes ago
Full-time
Senior
Software Development
Luxury Presence

Luxury Presence

Luxury Presence is a premier provider of real estate websites and digital marketing services tailored for high-grossing agents, teams, and brokers. They combine tech talent with real estate expertise to set a new standard for elite luxury real estate w...

Real Estate
251-1K
Founded 2015
$5M raised

Description

  • Own and evolve the dbt project, ensuring models are performant, well-tested, and documented.
  • Design and maintain the Snowflake data warehouse and data ingestion processes.
  • Build core entities and datasets using modern data modeling best practices for complex business logic.
  • Implement testing and observability for analytics pipelines.
  • Enforce CI/CD best practices, including automation, linting, tests, code review, and approvals.
  • Standardize metric definitions and ensure they are consistently computed across tools.
  • Act as a data liaison between Engineering, GTM, and Finance to align on metric definitions and system instrumentation.
  • Enable stakeholder self-service access to trusted insights and datasets.
  • Drive data literacy by coaching stakeholders on querying, dashboarding, and interpreting metrics.
  • Partner cross-functionally with Product Management, Marketing, RevOps, Finance, and Engineering on analytics initiatives.

Requirements

  • 5+ years of experience as an analytics engineer, data engineer, or similar role in a SaaS environment.
  • Deep expertise in SQL, dbt, and modern data modeling best practices.
  • Proven experience working with event-based and product usage data such as Posthog or Mixpanel.
  • Experience connecting marketing data such as paid ads, campaigns, and attribution to product analytics, ideally with end-to-end pipelines from ad platforms to conversion and retention metrics.
  • Comfort working with large-scale data systems such as Snowflake, BigQuery, or Redshift.
  • Strong familiarity with CI/CD, Git-based workflows, and automated testing.
  • Experience collaborating cross-functionally with engineers, analysts, and product managers.
  • Demonstrated success using analytics to drive decisions in a technical or product-focused environment.
  • Comfort taking ownership of ambiguous problems and designing end-to-end solutions.
  • Proficiency in Python for deeper analysis and automation is preferred.
  • Experience building and maintaining Airflow DAGs is preferred.
  • Experience with Spark and PySpark is preferred.

Interested in this position?

Apply directly on the company website

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