Create foundational pipelines and data extractions with large data sets using SQL and other GCP technologies.
Work with large, complex data sets to solve difficult analysis problems, assess the impact of initiatives, and create ongoing tooling/resources to run the business.
Collaborate with cross-functional partners to understand business context for solutions, analysis, and tooling needed.
Undertake specific tasks, bugs, and maintenance work, owning complex projects with minimal guidance.

Bachelor's degree or equivalent practical experience.
5 years of experience in analytics, data science, and/or computer science engineering.
5 Years of experience with using SQL, writing queries from scratch on a daily basis, data engineering, architecture, pipeline management, and Extract, Transform, Load (ETL).
Expertise using GCP tools.

Data Analytics Engineer

Key skills