LMN

Senior Analytics Engineer

LMN

full-time

Posted on:

Origin:  • 🇨🇦 Canada

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Job Level

Senior

Tech Stack

CloudETLPythonSQLTableau

About the role

  • Build and maintain analytics-ready data models (Gold Layer) in Snowflake using dbt or similar transformation tools
  • Define and document metrics and KPIs to ensure consistency across analytics and AI outputs
  • Partner with Data Engineers to optimize data pipelines for performance, speed, efficiency, and accuracy
  • Extend refined datasets to support feature engineering for AI models
  • Collaborate with product managers and stakeholders to translate business requirements into scalable data models
  • Enable analytics consumption through tools like GoodData, Redash, and other BI platforms
  • Ensure data quality and trust at the consumption layer via testing, validation, and monitoring
  • Support exploratory analysis, experimentation, and ad hoc queries

Requirements

  • 4+ years of experience in analytics engineering, BI development, or similar roles
  • SQL skills and experience with dbt or equivalent transformation frameworks
  • Proficiency in python for data wrangling and lightweight ETL/ELT
  • Experience with modern cloud data warehouses (Snowflake preferred)
  • Familiarity with BI/visualization tools such as GoodData, Redash, Looker, or Tableau
  • Strong understanding of data modeling best practices (e.g. Medallion architecture, dimensional modeling)
  • Ability to collaborate across data, engineering, and product teams
  • Candidates must have proper work authorization to work for any employer in Canada, without sponsorship from the company