Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 7 years of analytics experience (i.e., BI, data engineering/science, etc.) using SQL.
- 6 years of experience with data analysis/modeling/architecture, developing data sets and creating visualizations using tools such as Looker, Looker Studio, Tableau, Power Business Intelligence (BI) or similar technologies.
- 5 years of experience working with cross-functional stakeholders (e.g., technical and non-technical).
Preferred qualifications:
- Experience with one or more programming languages (Python, Java, C++, etc.,) to deliver or manage data pipelines.
- Experience converting business requests into technical requirements for insightful data products.
- Experience working with data products.
- Ability to work cross-functionally to deliver products and tailor communications to drive adoption.
About the job
As a Business Intelligence (BI) Engineer you will build scaled data products and insights generating tools to help power Google Cloud's growth. Work on developing innovative insights and analysis to help drive product direction and scale for the Cloud business.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Lead development and deployment of centralized reports, dashboards, models and tools to analyze, report, and present data on the impact that Google Cloud Business Platform (GCBP) is having on Google Cloud.
- Build and maintain data pipelines that empower decision making throughout GCBP.
- Convert ambiguous business requests into technical requirements for insightful data products.
- Deliver data products to senior GCBP leaders which deliver better decision-making. Aid in the creation of Key Performance Indicators (KPIs) and key results for your business domain. Make strategic and operational recommendations to achieve goals.
- Work with Product and Engineering teams to determine and identify key insights and implement useful KPIs for stakeholders.
