toast
Staff Analytics Engineer
Remote, USA · Staff+
Sponsorship not specified$159k-$254kDetected 1 day ago
PythonSQLAirflowData AnalysisData EngineeringCompensationLeadershipCollaborationMentoring
About the role
- The Analytics Engineer will play an integral role on our Enterprise Data Solutions (EDS) team.
- The ideal candidate has high standards for their work, and for that of their peers.
- Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters' changing needs.
Responsibilities
- By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
- Our goal is to build a strong culture of connection as we work together to empower the restaurant community.
Requirements
- 6+ years experience in Business Intelligence, Analytics, and/or Data Engineering roles.
- 4+ years experience with developing data modeling strategies.
- You are up to the challenge of designing standards and best practices from the ground up, and love collaborating with colleagues to solve complex problems.
- Bachelor's degree in an advanced quantitative field (or equivalent experience)
Skills
- Experience with Airflow
- Experience with Sigma, Hex, and/or other BI dashboard tools
- Experience in cloud-based data warehouses, specifically Snowflake.
- Experience with Python is a plus
Compensation
- We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry.
Benefits
- Diversity, Equity, and Inclusion is Baked into our Recipe for Success
Company info
- As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process.
Equal opportunity
- If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
This listing is sourced directly from toast's careers page and normalized into a canonical job model.