Business Intelligence Engineer, Global Corporate Sustainability

JLL•Washington, DC

1d•Hybrid

About The Position

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. What this job involves: This position serves as the critical link between data engineering capabilities and business outcomes within the Global Corporate Sustainability organization, requiring a unique blend of technical expertise and business acumen to transform sustainability data into actionable insights. You will own end-to-end data solutions for assigned GCS program areas including building performance, energy management, leasing assessment, and guidelines and standards from collection and modeling to storage and analytics. This role contributes to JLL's business objectives by establishing data governance standards, developing scalable analytics solutions, and fostering a data-driven culture that drives measurable business impact across GCS programs and regions.

Requirements

Advanced SQL skills with proven ability to design efficient and maintainable data models
Experience building data pipelines using AWS services including S3, Glue, and Lambda
Proficiency with BI tools, particularly Quicksight, with working knowledge of Python for data transformation and analysis
Understanding of data quality methodologies and implementation approaches
Demonstrated ability to translate business requirements into technical solutions with cross-functional team experience
Strong analytical thinking with ability to identify patterns and insights in complex datasets
Understanding of sustainability concepts and metrics including carbon accounting, water stewardship, and waste management.

Nice To Haves

Experience with Amazon's internal tools including Andes, Cradle, and EDX/Galaxy MDM
Background in Global Corporate Sustainability or environmental data analytics
Excellence in explaining technical concepts to non-technical audiences with strong documentation skills
Experience building consensus among diverse stakeholders with ability to present data insights compellingly
Knowledge of data governance standards and "Data Quality First" principles
Understanding of building performance analytics and energy management systems
Experience with automated reporting and dashboard engagement optimization.

Responsibilities

Own end-to-end data solutions for assigned GCS program areas while developing deep subject matter expertise in sustainability domains
Design and implement scalable data models using Amazon's internal tools and AWS technologies while building interactive Quicksight dashboards
Create automated data pipelines that reduce manual effort and increase data reliability with robust data quality checks and monitoring
Serve as primary data point of contact for assigned GCS programs and regions while collaborating with program SMEs to prioritize objectives
Translate complex business requirements into technical specifications and educate stakeholders on data capabilities
Regularly evaluate and optimize existing data solutions while identifying opportunities to scale successful approaches across programs
Stay current with emerging data technologies and sustainability analytics trends for continuous improvement.