Analytics Engineer Lead, Semantic Data Solutions

Socket.dev

Mississauga

On-site

CAD 110,000 - 150,000

Full time

9 days ago

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Job summary

RBC seeks a data-oriented analytics professional to design and build end-to-end analytics solutions centered on semantic layers and a modern data stack. You will translate requirements into robust data models, transformations, and semantic layers while driving quality and maintainability.

You will tackle complex technical and analytical problems, enable self-service analytics, and collaborate with data engineers, governance experts, analysts, data scientists, product teams and business users to

Qualifications

  • Semantic layer expertise: 2+ years with analytics platforms and semantic layers.
  • Hands-on modern data stack: dbt, cloud data warehouses, and semantic layer concepts.
  • Outcome-focused problem solver with emphasis on impact and data quality.
  • Clear communicator able to explain constraints and possibilities clearly.

Responsibilities

  • Design and build analytics solutions: translate requirements into end-to-end analytics, models, and semantic layers.
  • Solve technical and analytical problems: navigate data scenarios and trade-offs.
  • Enable self-service analytics: support semantic model delivery and data contracts for analysts.
  • Collaborate effectively: work with data engineers, governance, analysts, data scientists and product teams.
  • Support technical standards: promote best practices for dimensional design, metrics governance and data quality.

Skills

Semantic layer expertise
Modern data stack
Outcome-focused
Clear communicator

Tools

dbt
Snowflake
Databricks
BigQuery
Cube.js
Looker

Job description

RBC seeks a data-oriented analytics professional to design and build end-to-end analytics solutions centered on semantic layers and a modern data stack. You will translate requirements into robust data models, transformations, and semantic layers while driving quality and maintainability.

You will tackle complex technical and analytical problems, enable self-service analytics, and collaborate with data engineers, governance experts, analysts, data scientists, product teams and business users to

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