Senior Analytics Engineer — Build AI-Ready Analytics

Devconnectplatform

Canada

Hybrid

CAD 120,000 - 170,000

Full time

10 days ago
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Job summary

Luxury Presence is seeking a Senior Analytics Engineer to build and scale the analytical foundation powering decisions across GTM, Product, Finance, and Ops. The role sits at the intersection of data engineering and analytics, transforming raw product, marketing, financial, and operational data into trusted datasets for dashboards, cohorts, experimentation, and AI-ready insights.

You'll own the dbt project, design data models in Snowflake, build Python pipelines, and partner with Product,

Qualifications

  • 5+ years of analytics/data engineering experience in SaaS.
  • Strong SQL, dbt, and modern data modeling expertise.
  • Python for pipelines, API integration, and automation.
  • Experience modeling Salesforce data (opps, contracts, subscriptions, cases).
  • ELT pipelines ingesting data from APIs into cloud data warehouses.
  • Cross-functional collaboration with PMs, Marketing, Finance, and Eng.

Responsibilities

  • Build and own the data foundation (dbt models, tests, docs).
  • Design and maintain Snowflake warehouse and ingestion processes.
  • Operate Python-based pipelines and API integrations to Snowflake.
  • Develop cross-system reconciliation to surface data discrepancies.
  • Establish CI/CD, tests, linting and governance for metrics.

Skills

SQL
dbt
Python
Data modeling
ELT pipelines
Salesforce data modeling
Cross-functional collaboration

Tools

Snowflake
Airflow
Git & CI/CD
Semantic Layer

Job description

Luxury Presence is seeking a Senior Analytics Engineer to build and scale the analytical foundation powering decisions across GTM, Product, Finance, and Ops. The role sits at the intersection of data engineering and analytics, transforming raw product, marketing, financial, and operational data into trusted datasets for dashboards, cohorts, experimentation, and AI-ready insights.

You'll own the dbt project, design data models in Snowflake, build Python pipelines, and partner with Product,

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