Analytics Engineer

Bachelor’s degree (or equivalent) in mathematics, computer science, information technology, engineering, or related discipline
2-4 years of relevant experience
Strong Proficiency in SQL and experience working with relational databases
Solid understanding of data modeling and ETL processes
Proficiency in Python for data manipulation and analysis
Familiarity with CI/CD concepts and experience with managing codebases with git
Experience managing ETL and data pipeline orchestration with dbt and Airflow
Familiarity with basic command line functions
Experience translating project requirements into a set of technical sub-tasks that build towards a final deliverable
Committed to continuous improvement, with a passion for building processes/tools to make everyone more efficient
The ability to effectively collaborate cross-functionally to drive actionable and measurable results
Strong communication skills to document technical processes clearly and lead knowledge-sharing efforts across teams
A desire to constantly learn and improve themselves

Design, implement, and maintain highly performant data post-processing pipelines
Create shared data assets that will act as the company’s source-of-truth for critical business metrics
Partner with analytics stakeholders to curate analysis-ready datasets and augment the generation of actionable insights
Partner with data engineering to expose governed datasets to the rest of the organization
Make impactful contributions to our analytics infrastructure, systems, and tools
Create and manage documentation, and conduct knowledge sharing sessions to proliferate tribal knowledge and best practices
Maintain consistent planning and tracking of work in JIRA tickets

No preferred qualifications provided.