Principal Business Intelligence Engineer

Description:

We’re looking for an exceptional business-focused BI Engineer to drive data-based decision making across 2U. As a BI Engineer your work will be visible, impact and drive decisions and conversations at the highest level and across the organization.

Integrating data insights across a range of business and product decisions is a top strategic priority. This is an opportunity to create tremendous value for our global learners as we build a world-class data team – individuals with high data literacy, intellectual curiosity and communication skills. 

In this role, your work will have a major and highly visible impact on our mission of providing high-quality education to everyone, everywhere. Your data models will help shape decisions as 2U continues to grow and evolve.

Responsibilities:

• Partner with business stakeholders, data analysts, and data engineers to translate business concepts, product strategies, and informational needs into technical definitions and requirements 
• Design, develop, deploy, and support scalable data models and marts that enable stakeholders to effectively explore, report on, and find insights in the data
• Serve as a primary liaison between the Data and University Partner teams, enabling regular and ad hoc reporting 
• In close alignment with the Data Engineering teams, influence platform design, data architecture, operational norms, alerting and governance
• Contribute thoughtfully to data platform design and improvements, documentation, and best practices via DBT, Confluence and Github
• Foster relationships with peers, business stakeholders, and product engineering in order to anticipate needs and opportunities for platform enhancements
• As an SME in the data space, be a voice and advocate for data standards, integrity and quality

Qualifications:

• Educational or professional experience with a heavy quantitative, analytical focus. 
• Hands-on experience working with large data sets in data modeling, data engineering, or BI analytics
• Experience investigating applications or datasets to understand underlying data structures
• Ability to acquire and manipulate data programmatically, as demonstrated in a business environment
• Strong SQL skills and experience
• Experience working with relational databases, data warehouses and ELT solutions
• Excellent communication skills and a desire to collaborate closely with others
• Strong problem-solving skills, with a pragmatic approach to addressing challenges
• Demonstrated experience in managing projects efficiently, and proactively communicating roadblocks and recommending solutions to non-technical stakeholders