Tehran
Operations Planning
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.
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