Own the transformation layer, applying best practices to design and implement data cubes, warehouses, and other data models.
Define, manage, and implement the analytics engineering and infrastructure roadmap.
Level up data models, infrastructure, and dashboard interfaces to drive effective self-service.
Liaise with team members and other data customers to understand and meet their analytical needs.
Drive quality metadata and data discovery with a semantic layer.
Act as a performing data steward defining and enforcing rigorous data governance standards.
Manage metadata frameworks to ensure data compliance and discoverability.
Support modernization and migration initiatives from legacy reporting platforms.
Perform unit tests and conduct reviews with team members to ensure high-quality code.
Requirements
Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or Master’s Degree plus at least 4 years of experience performing data analytics.
At least 4 years of experience performing professional data analysis work.
At least 4 years of experience performing programming.
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline preferred.
At least 7 years of professional data analysis work experience preferred.
At least 4 years of experience with Python, R, Spark or SQL preferred.
At least 1 year of experience in people management preferred.
At least 1 years of project management experience preferred.
At least 1 year of experience in Tableau preferred.
Proficient utilizing and developing within AWS service.
Tech Stack
AWS
Python
Spark
SQL
Tableau
Benefits
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being.