Global Operational Data & Performance Sr. Analyst

JLL•Arlington, VA

5d•Onsite

About The Position

The Global Operational Data & Performance Sr. Analyst serves as the central data, analytics, and reporting resource for a global sustainability operations team. This role develops analytical frameworks that enable teams across AMER, EMEA, and APAC to operate from a shared, trustworthy source of truth, replacing fragmented, reactive approaches with transparent, measurable, and proactive decision-making. You will serve as the primary point of contact for ad hoc and recurring analytic requests from regional stakeholders, translating raw data into clear, decision-ready insights. You will integrate multiple data sets including audit results, energy and water performance metrics, maintenance data, and survey responses into a unified analytical framework that surfaces cross-portfolio patterns, correlations, and at-risk sites that no single data stream could reveal on its own. This role requires you to establish consistent, measurable evaluation criteria across regions so that performance is comparable and gaps are identifiable at a global level, build initial statistical models to test defined hypotheses, and maintain global dashboards and portfolio statistics ensuring regional teams across AMER, EMEA, and APAC are aligned and reporting consistently.

Requirements

Strong analytical skills with ability to translate complex, multi-source data into clear, decision-ready insights
Experience managing ad hoc and recurring analytic requests from multiple stakeholders
Proficiency in data analysis tools and dashboard development
Ability to integrate multiple data sets into unified analytical frameworks
Strong communication skills with ability to deliver executive-ready briefings and reports
Experience working across multiple regions and accounting for regional differences in operations and reporting structures
Ability to manage intake and prioritization of requests while balancing strategic project work.

Nice To Haves

Bachelor's degree in data science, statistics, business analytics, environmental science, or related field
Experience in sustainability operations, facilities management, or corporate real estate analytics
Track record building predictive analytics and statistical models
Experience with energy and water performance metrics, maintenance data, and audit results
Knowledge of sustainability reporting frameworks and regulations across AMER, EMEA, and APAC regions
Proficiency in building self-service analytics solutions including dashboards, templates, and standard reports
Experience coordinating with external partners on analytical model expansion
Background in portfolio management and global dashboard maintenance
Strong understanding of operations, regulations, and reporting structures across multiple geographic regions
Ability to identify cross-portfolio patterns, correlations, and at-risk sites through data integration
Experience establishing consistent, measurable evaluation criteria for performance comparison across regions
Advanced skills in data visualization and presentation tools
Background surfacing bottlenecks and progress in real-time reporting environments.

Responsibilities

Serve as the go-to analytics resource for AMER, EMEA, and APAC regional teams, fielding, triaging, and delivering on ad hoc and recurring analytic data requests across sustainability, operations, and facilities management
Translate complex, multi-source data into clear, concise deliverables including summary reports, data pulls, trend analyses, benchmarking comparisons, and executive-ready briefings tailored to the requesting audience
Manage intake and prioritization of analytic requests to balance responsiveness with strategic project work, maintaining a transparent backlog so stakeholders have visibility into timelines and status
Proactively identify recurring request patterns and build scalable self-service solutions such as dashboards, templates, and standard reports that reduce dependency on manual fulfillment over time
Partner with regional leads to understand local context and data nuances, ensuring that global analyses account for regional differences in operations, regulations, and reporting structures
Integrate multiple data sets including audit results, energy and water performance metrics, maintenance data, and survey responses into a unified analytical framework
Build initial statistical models to test defined hypotheses, such as whether indoor environmental quality data predicts maintenance volume or whether energy performance correlates with operational scores
Maintain global dashboards and portfolio statistics, surfacing progress and bottlenecks in real time so leadership can see where things stand without waiting for manual updates.