BI Analyst

JLL•Minneapolis, MN

1d•Onsite

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. We're seeking a dynamic BI & Analytics Analyst to join our dedicated on-account team supporting a major strategic client in Chicago or Minneapolis. You'll be at the forefront of creating cutting-edge BI solutions—dashboards, reports, and analytics applications that drive real business decisions. Working within a cloud-based data platform, you'll partner directly with data owners and business teams to solve complex challenges, uncover hidden insights, and deliver recommendations that move the needle. We want a confident problem-solver with sharp analytical skills who thrives on turning complex data into clear, actionable insights. You should excel at presenting findings, facilitating discussions, and influencing stakeholders while maintaining a curious, solution-oriented mindset. Ready to make data work harder for business success?

Requirements

1+ years hands-on experience with Databricks, Snowflake, BigQuery, or Azure Synapse combined with advanced SQL capabilities including complex query development, stored procedures, and performance optimization
Expert proficiency in Tableau and Power BI for creating complex, interactive dashboards and data visualizations, plus proven expertise with Alteryx or similar ETL/data preparation tools for complex workflows
Strong Python programming skills for data analysis, automation, and integration with business applications, along with experience in collaborative development practices and Git
1+ years of business analysis or consulting experience in enterprise environments, preferably in commercial real estate, construction management, or related fields
Demonstrated track record as stakeholder advisor with ability to translate technical concepts for non-technical users, plus excellent presentation skills for senior management and external clients
Strong project management skills with experience leading cross-functional analytics initiatives and understanding of modern data architecture patterns and cloud-native workflows
Bachelor's degree in Data Analytics, Information Systems, Business Administration, or related quantitative field

Nice To Haves

Strong understanding of finance and accounting operations, financial analysis and modeling, forecasting and budgeting
Proficiency in Microsoft Office suite
Experience in SharePoint, Power Platform, or similar collaboration tools

Responsibilities

Perform advanced data management using Databricks and cloud platforms with SQL and Python for data retrieval, profiling, processing, validation, and migration to centralized cloud environments
Design interactive Power BI & Tableau dashboards sourcing from cloud databases, published data sources, and external APIs while leveraging modern ETL/ELT processes and Git version control
Create data visualizations and automated reporting solutions using Python that deliver actionable insights tailored to specific business audiences and use cases
Serve as primary stakeholder liaison, working directly with end users and clients to understand processes, pain points, and analytical needs while ensuring alignment between technical capabilities and business objectives
Translate complex business questions into comprehensive data analysis plans, executing independently or collaboratively while proactively identifying optimization opportunities
Lead initiatives that transform analytical insights into concrete business recommendations and behavioral changes, driving data-driven solutions across the organization
Validate calculations through peer review, automated testing, and cross-referencing with established metrics while performing quality assessments using Alteryx and cloud-native tools
Collaborate with governance teams and business data stewards to establish quality standards, remediation processes, monitoring procedures, and resolve critical data issues through comprehensive validation and root cause analysis