Performance Manager

Job Description

As a Performance Analyst, you will play a crucial role in analyzing performance metrics, identifying trends, and providing actionable insights to optimize our Integrated Facilities Management and Project Development services. Youll work closely with various teams to improve operational efficiency, enhance client satisfaction, and drive business growth. Key Responsibilities: Collect, analyze, and interpret complex data sets related to facilities management and project development performance. Develop and maintain dashboards, reports, and key performance indicators (KPIs) to track operational efficiency and effectiveness. Identify trends, patterns, and anomalies in performance data to generate actionable insights for leadership and operational teams. Collaborate with cross-functional teams to implement data-driven improvements and best practices. Conduct regular performance reviews and benchmarking against industry standards. Support the development of predictive models to forecast future performance and resource needs. Assist in the preparation of client-facing reports and presentations on performance metrics. Contribute to the continuous improvement of data collection, analysis, and reporting processes. Stay updated on industry trends and emerging technologies in facilities management and project development. Qualifications: Bachelors degree in Business Analytics, Statistics, Economics, or a related field. 7-10 years of experience in performance analysis, preferably in facilities management, real estate, or a related industry. Strong analytical skills with proficiency in data visualization tools (e.g., Tableau, Power BI) and statistical analysis software. Advanced Excel skills and experience with database management systems. Knowledge of facilities management processes and project development lifecycle is preferred. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data in a clear, concise manner. Experience with predictive modeling and machine learning techniques is a plus.