Meta is looking to solve the problem of building the data architecture that informs and drives insight to support product launches and roadmaps, and to improve company growth and user satisfaction.
Requirements
- Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
- Data architecture experience
- Experience with data sets, Hadoop, and data visualization tools
- Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
- Experience communicating results of analysis to executive leadership
- Project management experience
- Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
Responsibilities
- Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
- Build and lead a high-quality BI and Data Warehousing team, designing it to scale
- Manage data warehouse plans, drive data quality, and ensure operational efficiency
- Design, build, and launch new data models and pipelines in production
- Deliver high-impact dashboards and data visualizations
- Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
- Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies
Other
- A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
- 8+ years of experience in BI and Data Warehousing
- Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
- 2+ years of experience managing people with experience scaling and managing 3+ person teams
- Project management experience
