Senior Data Analyst responsible for transforming data into strategic insights for JLL's Lease Abstraction Enterprise Platform. Enhancing business performance through analytics and reporting.
Responsibilities
Design, build, and maintain interactive performance dashboards tracking platform KPIs and operational metrics
Extract and analyze data from multiple sources to identify trends, anomalies, and performance patterns
Generate daily, weekly, and monthly performance reports for distribution to stakeholders and leadership
Conduct deep-dive analyses on specific operational challenges or underperforming areas
Facilitate regular performance review meetings with business stakeholders, presenting insights and recommendations
Collaborate with operational teams to understand pain points and translate them into measurable metrics
Monitor platform utilization, accuracy rates, processing times, and user adoption metrics
Develop and refine KPIs and measurement standards to ensure alignment with business objectives
Create data visualizations and presentations that communicate complex findings to non-technical audiences
Identify optimization opportunities through statistical analysis and predictive modeling
Lead implementation of data-driven improvement initiatives and track their impact
Respond to ad hoc data requests from leadership and business units with quick turnaround analysis
Create and deliver training materials on reporting tools and performance metrics interpretation
Document analytical methodologies, data definitions, and reporting standards
Quality-check data accuracy and work with technical teams to resolve data integrity issues
Requirements
Bachelor's degree in Data Analytics, Statistics, Business Intelligence, Mathematics, Computer Science, or related field
6-7 years of experience in performance analysis, business intelligence, or data analytics roles
Advanced proficiency in data visualization and business intelligence tools such as Power BI, Tableau, or similar platforms
Strong expertise in Microsoft Excel including advanced functions, pivot tables, and data modeling
Proficiency in SQL for querying databases and extracting complex datasets
Knowledge of AI/OCR document processing platforms and their performance metrics
Experience with Python, R, or other programming languages for advanced statistical analysis
Demonstrated ability to design and maintain executive-level dashboards and reporting frameworks
Experience establishing KPIs and performance measurement standards for operational processes
Strong analytical and problem-solving skills with attention to detail and data accuracy
Excellent communication skills with ability to present data insights clearly to diverse audiences
Experience conducting performance reviews and presenting findings to senior stakeholders
Ability to translate business questions into analytical frameworks and data requirements
Understanding of statistical analysis concepts and their application to business problems
Proven track record developing data-driven recommendations that drive operational improvements
Familiarity with AI/OCR tools such as Dealsumm or similar intelligent document processing solutions
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