Senior BI Analyst

JLL•Chicago, IL

8d•$66,000 - $110,000•Remote

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. Senior Business Intelligence Analyst : Remote in the US - only We are seeking an experienced Senior Business Intelligence Analyst to design, develop, and optimize enterprise-scale data solutions. This role combines deep technical expertise in modern data engineering with advanced analytics capabilities to drive data-driven decision making across the organization. The ideal candidate will architect robust ETL/ELT pipelines, leverage Databricks for scalable data processing, and create sophisticated Power BI solutions while implementing intelligent automation through Power Automate. Here is some of what you'll do:

Requirements

ETL/ELT Development: Proven experience designing and implementing production data pipelines with demonstrated expertise in performance optimization, error handling, and monitoring
Databricks Proficiency: Strong hands-on experience with Databricks notebooks using PySpark, Scala, or SQL; practical knowledge of Delta Lake, Unity Catalog, cluster configuration, and job orchestration
Power BI Expertise: Advanced skills in Power BI development including semantic modeling, DAX, report design, and workspace management
Power Automate: Demonstrated ability to build cloud flows across automated, instant, and scheduled triggers; experience with Microsoft 365 and Azure connectors; knowledge of Power Automate Desktop for RPA implementations
Programming: Proficiency in Python, SQL, and at least one additional language (Scala, R, or similar)
Cloud Platforms: Experience with Azure data services and cloud-native architectures
5+ years of experience in business intelligence, data engineering, or analytics roles
Proven track record delivering enterprise-scale data solutions
Experience working in Agile development environments
Strong portfolio demonstrating technical depth across required technology stack
Excellent analytical and problem-solving abilities with attention to detail
Strong communication skills with ability to explain complex technical concepts to non-technical audiences
Collaborative mindset with experience working across functional teams
Self-motivated with ability to manage multiple priorities and projects simultaneously

Nice To Haves

Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field.
Azure certifications (Data Engineer Associate, Databricks certifications) and Microsoft certifications (Power BI Data Analyst, Power Platform certifications).
Experience with version control systems (Git, Azure DevOps), CI/CD practices for BI and data engineering workflows, data governance frameworks, and metadata management.
Experience in commercial real estate or property management industries.

Responsibilities

Data Pipeline Architecture & Development Design, build, and maintain production-grade automated data pipelines extracting from APIs, databases, flat files, and third-party systems with comprehensive error handling, monitoring, alerting, and continuous performance optimization through query tuning and parallel processing.
Databricks Development & Optimization Develop scalable data processing solutions using Databricks notebooks (PySpark, Scala, SQL) with modular workflows for incremental loads and complex transformations. Implement optimal cluster configurations, Delta Lake for ACID transactions, Unity Catalog for governance, and Job Scheduling for production orchestration.
Power BI Development & Analytics Design enterprise Power BI solutions including interactive dashboards, paginated reports, and embedded analytics. Build optimized semantic models using DAX, implement row-level security, manage workspace governance, and establish organizational best practices.
Power Automate Cloud Flows Build automation solutions using cloud flows (automated, instant, scheduled) that integrate with Microsoft 365, Azure services, and third-party platforms. Design approval workflows integrated with Teams and Outlook following best practices for error handling and performance.
Robotic Process Automation Apply Power Automate Desktop for RPA scenarios to reduce manual effort and streamline business processes with maintainable, optimized solutions.
Data Transformation & Quality Transform data according to complex business logic, enforce data quality validations, and execute multi-stage transformations while loading into target analytical environments.
Stakeholder Collaboration Partner with business stakeholders to translate analytical requirements into technical solutions and document data architectures, pipeline designs, and technical specifications.
Team Leadership & Knowledge Sharing Mentor junior team members and promote best practices across the BI team for all development and deployment activities.