Key Responsibility Areas (KRAs) & Key Performance Indicators (KPIs) for Data Processor
1. Data Quality Management
KRA: Ensuring accuracy and integrity of data processed.
Short Description: Maintain high data quality standards.
- Percentage of data accuracy maintained
- Number of data errors detected and rectified
- Data completeness percentage
- Data duplication rate
2. Data Security Compliance
KRA: Ensuring compliance with data protection regulations.
Short Description: Safeguard sensitive data.
- Percentage compliance with data security standards
- Number of data breaches/incidents
- Completion of data security training
- Audit rating on data security measures
3. Data Processing Efficiency
KRA: Optimizing data processing workflows for efficiency.
Short Description: Streamline data processing operations.
- Time taken to process a set amount of data
- Data processing error rate
- Utilization of automation tools in processing
- Percentage reduction in processing time
4. Data Analysis and Reporting
KRA: Analyzing processed data to derive insights and create reports.
Short Description: Transform data into actionable insights.
- Number of actionable insights generated
- Accuracy of data analysis reports
- Adherence to report delivery timelines
- Feedback received on report usefulness
5. Database Management
KRA: Managing and maintaining databases efficiently.
Short Description: Ensure optimal database performance.
- Database uptime percentage
- Database backup frequency and success rate
- Database query response time
- Number of database optimization initiatives implemented
6. Data Governance Implementation
KRA: Implementing and enforcing data governance policies.
Short Description: Ensure data governance compliance.
- Completion rate of data governance training
- Adherence to data classification guidelines
- Number of data governance policy violations detected
- Feedback on data governance awareness initiatives
7. Continuous Process Improvement
KRA: Identifying and implementing process improvements in data processing.
Short Description: Drive continuous improvement in data processes.
- Number of process improvement initiatives implemented
- Reduction in data processing errors over time
- Feedback from team on process efficiency enhancements
- Time saved due to process optimizations
8. Stakeholder Communication
KRA: Communicating data-related insights effectively to stakeholders.
Short Description: Ensure clear and concise data communication.
- Feedback on the clarity of data presentations
- Stakeholder satisfaction with data communication
- Number of stakeholders reached with data insights
- Response time to stakeholder queries
9. Team Collaboration
KRA: Collaborating with team members for efficient data processing.
Short Description: Foster teamwork for data processing success.
- Team cohesion and collaboration rating
- Number of successful team data projects completed
- Feedback on team communication effectiveness
- Team satisfaction with collaborative tools used
10. Professional Development
KRA: Continuous learning and development in data processing field.
Short Description: Stay updated with industry trends and technologies.
- Completion of relevant training courses/certifications
- Participation in data processing conferences/events
- Feedback on knowledge sharing within the team
- Application of new skills in data processing tasks
