We are looking for a Business Intelligence Engineer (BIE) to drive the use of AI in analytics with high exposure to VP and SVP level business decision making support. In this role you will define and implement scalable processes, diving deep into the product and program metrics globally across multiple business units. You will apply both business and technical acumen in a fast-paced, ambiguous and innovative environment.

Key job responsibilities

- Design and build AI tools that derive actionable insights from some of the world’s largest datasets
- Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks
- Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers
- Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

A day in the life
On a typical day you will:
- Work with non-technical stakeholders to understand what decisions they make and the information they need to make those decisions
- Work with BIEs and BAs to understand what data and information are available, where to find it, and how to interface with it
- Create a scalable AI solution that allows stakeholders to get the information they need to make their decisions, along with key insights and recommendations. The solution handles edge cases, never gives wrong information, and considers important business context
- Create mechanisms to ensure the AI solution is being fully utilized by all relevant stakeholders
- Create mechanisms to collect and analyze metadata about how stakeholders are using your solution