Senior Analytics Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Create, develop, and maintain scalable data models for analytics used in reporting, business intelligence, product analysis, and operational decision-making.

• Construct and oversee reliable data pipelines and transformation workflows.

• Collaborate with teams from Engineering, Product, Design, Strategy & Operations, AI Platform, and various business stakeholders.

• Define metrics, dimensions, data contracts, and establish clear definitions.

• Produce reusable datasets and semantic models to facilitate self-service analytics.

• Enhance the reliability, performance, observability, and maintainability of the analytics infrastructure.

• Execute data quality checks, testing, documentation, lineage tracking, and monitoring processes.

• Work alongside data engineers and platform teams to improve data architecture, warehouse performance, and transformation workflows.

• Ensure data products are user-friendly, easily discoverable, and purpose-fit.

• Set standards for analytics engineering best practices, including version control, code reviews, CI/CD, documentation, and deployment protocols.

• Convey technical concepts effectively to both technical and non-technical audiences.

⛳️ Requirements

• Minimum of 4 years of experience in analytics engineering, data engineering, business intelligence engineering, or a related discipline.

• Proficient SQL skills, encompassing complex queries and dimensional data modeling.

• Familiarity with dbt or similar analytics transformation frameworks.

• Expertise in Python or another programming language for data automation and processing.

• Experience working with Snowflake, Databricks, BigQuery, or Redshift.

• Knowledge of dimensional modeling concepts, including fact and dimension tables, slowly changing dimensions, and semantic layers.

• Experience in data quality testing, monitoring, documentation, and observability practices.

• Ability to convert vague business inquiries into scalable data solutions.

• Strong skills in communication, problem-solving, and organization.

• Awareness of data governance, security, privacy, and responsible data usage.

• Experience with data cataloging and lineage tools.

🏝️ Benefits

• Equal employment opportunities provided without regard to protected status.

• Qualified candidates with criminal histories will be considered in accordance with legal requirements.