DigiExpress is a forward-thinking logistic company dedicated to pushing the boundaries of technology. We are seeking a talented and experienced Performance Monitoring Specialist to work in our dynamic team.

Responsibilities

• Service Performance Analysis
  Collect, analyze, and interpret service performance data to identify trends, gaps, and opportunities for improvement.
• Data-Driven Decision Making
  Use data analysis to recommend actionable solutions for improving service delivery and meeting SLA targets.
• Reporting and Visualization
  Prepare comprehensive reports and dashboards using data visualization tools to communicate service performance metrics clearly to stakeholders.
• Issue Resolution
  Investigate service delivery issues using root cause analysis techniques and take corrective actions to maintain service quality and efficiency.
• Continuous Improvement
  Drive initiatives to improve service delivery processes, focusing on efficiency, customer satisfaction, using data to measure the effectiveness of improvements.
• Collaboration and Communication
  Work closely with internal stakeholders to ensure a shared understanding of service standards, expectations, and data-driven insights.

Required Skills and Qualifications

• Data Analysis Skills
  Proficiency in analyzing large datasets, interpreting results, and generating insights to improve service levels.
• Technical Proficiency
  Experience with data analysis tools such as Microsoft Excel, SQL, Power BI, or other business intelligence software.
• Knowledge of KPIs
  Familiarity with service level, key performance indicators (KPIs), and service delivery principles.
• Organizational Skills
  Strong time management, communication, and teamwork skills.
• Problem-Solving
  Ability to identify issues, analyze root causes, and implement effective data-driven solutions.
• Attention to Detail
  Detail-oriented approach to maintaining high service standards and compliance.

Preferred Skills and Qualifications

• Educational Background
  Bachelor’s or Master’s degree in Business Administration, Industrial Engineering, Data Science, or related fields.
• Experience
  Two or more years of experience in service level, operations, or data analysis roles.
• Advanced Analytics
  Familiarity with predictive analytics, statistical modeling, and visualization tools (e.g., Python, R) is a plus.