Senior Analytics Engineer
New
Canadian time zones onlyFull-TimeSenior
Salary129392 - 155272 CAD per year
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Job Details
- Experience
- 3-5 years
- Required Skills
- AWSGCPBigQuerydbt
Requirements
- 3-5 years experience contributing to data modeling
- Experience with dbt
- Experience working with a wide variety of peers and stakeholders, from business users to analysts to data engineers
- Experience creating and maintaining data quality tests and logic tests (e.g. unit tests)
- Established track record enabling stakeholders to use data by various means such as documentation, training, and cataloging
- A passion for understanding business questions and making data driven insights
- An understanding of coding agents & agentic coding practices and patterns
- Experience working in cloud environments such as AWS or GCP is a plus
- Familiarity with the monitoring, observability, log aggregation, or APM market is a plus
- Strong analytical, data processing, and problem-solving skills
- Exceptional attention to detail
- Strong verbal and written communications skills with the ability to effectively communicate with all levels of employees and provide support globally
- Experience implementing best practices for analytics, dashboarding, documentation, and testing
- Experience building collaboration and rapport within an organization with both technical and non-technical members
- Experience working in a “remote first” environment
Responsibilities
- Own, operate, and maintain the architecture and infrastructure of our data stack (e.g. BigQuery, dbt, Fivetran)
- Ensure that the data we need to understand and serve our stakeholders is available, accurate, and accessible
- Partner with GTM, Self-Serve, Marketing, Finance, and BizApps (and other stakeholders) to understand their data needs and identify places where the analytics stack can improve on what they’re doing
- Become the go-to expert on our data pipeline, data tools, and what our data means
- Create data processes and standard operating procedures that leverage AI agent skills and rules
- Create and own best practices for version control, documentation, testing, and other data-related areas
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