Performance Manager

Jones Lang LaSalle Americas, Inc.

Performance Manager assisting with the strategic transformation of data analytics and technology capabilities across a premier financial services real estate portfolio. Championing integrated technology and analytics frameworks for enhanced decision-making.

Posted 4/14/2026full-timeRemote • Illinois, Minnesota • 🇺🇸 United StatesMid-LevelSenior💰 $107,100 - $131,100 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Build and deploy comprehensive Business Intelligence solutions encompassing data pipelines, analytics models, reporting systems, and self-service analytics platforms
Develop and maintain integrated data governance systems including data quality validation scripts, master data management workflows, automated data lineage tracking, and privacy/security controls aligned with financial services requirements
Create standardized KPI calculation engines and interactive performance dashboards delivering real-time operational, financial, and strategic metrics across all portfolio properties and business functions
Develop advanced analytics solutions including predictive models, machine learning algorithms, and AI-powered applications for operational optimization and strategic insights
Build enterprise data infrastructure and analytics systems aligned with client strategic objectives and regulatory requirements while optimizing data asset utilization

Requirements

What you’ll need

Bachelor's degree required in Information Technology, Computer Science, Data Analytics, Business Administration, Engineering, or related technical field
5+ years progressive experience in business intelligence, data analytics, or technology leadership roles
3+ years experience in commercial real estate, financial services, or related asset management industries with direct experience within the IFM/Corrigo platform
BI Platforms: Power BI (preferred), Tableau, with platform implementation experience
Database & Analytics: SQL proficiency, cloud data environments (Databricks, Snowflake)
Data Integration: ETL tools, API management, data warehousing concepts
Cloud Platforms: Azure, AWS, or Google Cloud experience with data services
Programming: Python/R for statistical modeling and analytics (preferred)
Project Management: Agile methodologies, large-scale technology implementations. Experience with JIRA preferred.

Benefits

Comp & perks

401(k) plan with matching company contributions
Comprehensive Medical, Dental & Vision Care
Paid parental leave at 100% of salary
Paid Time Off and Company Holidays
Early access to earned wages through Daily Pay

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Business Intelligencedata pipelinesanalytics modelsreporting systemsself-service analyticsdata governanceKPI calculation enginespredictive modelsmachine learningPython

Soft Skills

leadershipcommunicationorganizational

Certifications

Bachelor's degree