Performance Analyst

RATP Dev

RESPONSIBILITIES/DUTIES

Data Analysis & Reporting

Conduct in-depth data analysis using analytics, research methodologies, and root cause analysis techniques.

Develop and implement data analysis processes, leveraging data collection systems and strategies to align with RDMC s performance vision.

Prepare, analyze, and summarize weekly, monthly, and periodic operational results for key stakeholders, presenting findings through reports, specifications, instructions, and flowcharts.

Provide timely dashboards, performance synthesis reports, and other analytical outputs to support decision-making.

Performance Monitoring & Continuous Improvement

Identify meaningful trends and opportunities across RDMC activities through comprehensive analyses.

Collaborate with management in regular meetings to assess operational challenges, propose solutions, and drive improvements.

Carry out continuous improvement initiatives in alignment with the management system.

Ensure compliance with all contractual and internal performance requirements.

Process Optimization & KPI Development

Develop actionable roadmaps to enhance workflows, streamline processes, and improve efficiency.

Establish, monitor, and organize KPIs to support internal objectives and external stakeholder expectations.

Other Responsibilities

Perform additional duties and responsibilities as assigned to support departmental and organizational goals.

SAFETY RESPONSIBILITIES:

Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.

Comply with the requirements of RDMC RQHSE Policy and Safety Management System.

Be mindful that Safety, Security, and Environmental protection are everyone s responsibility. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.

ESSENTIAL QUALIFICATIONS, KNOWLEDGE & EXPERIENCE

QUALIFICATIONS:

Bachelor s degree in Engineering or an equivalent field.

KNOWLEDGE:

Strong ability to understand and interpret complex systems, with adaptability to learn new software applications.

Proficiency in data analysis tools and software (e.g., Excel, SQL, Databases, Python).

Proficiency in Business Intelligence (BI) tools such as Qlik Sense and Power BI.

Solid understanding of data modeling techniques.

Familiarity with analytical methods and their practical applications.

Knowledge of ISO 9001 Quality Management Systems.

EXPERIENCE:

3 to 5 years of proven experience in data analysis and performance improvement activities.

Practical experience with statistical and numerical analysis techniques.