lever
Analytics Engineer
jobgether
Remote, CAN
Full-time
Remote
$139,000–$146,500
Discovered 1 weeks ago
Analytics engineeringData engineeringSQLDimensional data modelingStar schemasFact and dimension tables
Free
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Analytics engineeringData engineeringSQL
Role Overview
Build and evolve data foundations supporting marketing analytics, attribution, and investment decisions at scale.
Independently design and deliver reliable dimensional models and ETL pipelines for Data Scientists, Analysts, and Marketing teams.
Own work end to end from requirements and development through testing, documentation, monitoring, and continuous improvement.
Contribute to code reviews, design discussions, reusable modeling patterns, and broader technical ownership of marketing data.
Key Skills for This Role
Analytics engineeringData engineeringSQLDimensional data modelingStar schemasFact and dimension tables
Full Job Posting
Role Overview
Build and evolve data foundations supporting marketing analytics, attribution, and investment decisions at scale.
Independently design and deliver reliable dimensional models and ETL pipelines for Data Scientists, Analysts, and Marketing teams.
Own work end to end from requirements and development through testing, documentation, monitoring, and continuous improvement.
Contribute to code reviews, design discussions, reusable modeling patterns, and broader technical ownership of marketing data.
Accountabilities
- Design, build, and maintain dimensional data models and ETL pipelines for paid marketing, SEO, retailer marketing, attribution, and broader marketing analytics.
- Translate analytical questions and business needs into clear data requirements and trusted, decision-ready datasets.
- Implement tests, documentation, monitoring, and root-cause resolution for data quality issues.
- Conduct code reviews and communicate technical designs before implementation.
- Improve data pipelines by reducing manual effort, enhancing performance, and strengthening observability.
- Contribute to data platform incident response and improve reliability, maintainability, and operational efficiency.
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