JLL Hiring Management Trainee | Data Analytics – Fresher / Experienced | Apply Now

Qualifications

• Bachelor’s degree in Data Science, Analytics, Computer Science, Engineering, or related fields.
• Strong analytical and problem-solving skills with a passion for data-driven decision-making.
• Proficiency in data analytics tools such as Python, R, SQL, Tableau, or similar platforms.
• Familiarity with facility management concepts, processes, and data sources is an advantage.
• Excellent communication skills, both written and verbal, with the ability to present complex findings in a clear and concise manner.
• Ability to work effectively in a team environment and collaborate with stakeholders at various levels.
• Detail-oriented with a focus on accuracy and data integrity.
• Self-motivated with a willingness to learn and adapt to new technologies and methodologies.
• Ability to multitask and prioritize assignments in a fast-paced environment.
• Strong organizational and time management skills.

Roles & Responsibilities:-

• Assist in collecting, organizing, and analyzing facility management data using technology platforms and tools.
• Collaborate with cross-functional teams to identify and define data requirements and KPIs for facility management projects.
• Conduct data exploration and visualization to uncover trends, patterns, and insights that can drive operational efficiency and cost savings.
• Develop and maintain dashboards and reports to provide real-time visibility into facility performance and key metrics.
• Support the implementation and integration of data analytics solutions within the facility management ecosystem.
• Assist in identifying opportunities to automate manual processes and improve data accuracy and completeness.
• Ensure data integrity and quality by performing regular audits, cleansing, and validation procedures.
• Stay up-to-date with industry trends, best practices, and emerging technologies in data analytics and facility management.
• Contribute to the development of data analytics strategies and provide input on process improvements.
• Collaborate with team members to support the design and implementation of predictive and prescriptive analytics models for facility management.