Data Processor

Responsibilities:

Data Entry and Management:

• Enter and update data in various databases and software systems with precision and accuracy.
• Ensure all data entries are consistent with project specifications and standards.
• Regularly backup data to prevent loss and maintain data security.

Data Processing:

• Process raw data obtained from 3D laser scanning devices and geospatial tools into formats suitable for analysis and reporting.
• Convert complex data sets into understandable and usable formats for project teams and clients.
• Apply data processing techniques to clean and validate data, removing any inconsistencies or inaccuracies.

Data Verification:

• Perform routine checks to ensure data integrity and correctness.
• Identify and correct data discrepancies or errors by cross-referencing with original sources or project documentation.
• Collaborate with team members to resolve data issues and implement solutions to prevent recurrence.

Reporting:

• Generate detailed reports and visualizations based on processed data, including charts, graphs, and tables.
• Prepare comprehensive summaries and insights to support decision-making and project evaluation.
• Ensure reports are accurate, timely, and meet the requirements of internal and external stakeholders.

Collaboration:

• Work closely with project managers, engineers, and other departments to understand data requirements and provide support.
• Participate in project meetings to provide updates on data processing progress and address any data-related issues
• Assist in training team members on data-related processes and tools.

Documentation:

• Maintain up-to-date documentation of data processing procedures, methodologies, and updates.
• Create and manage records of data processing tasks, including data sources, processing steps, and outcomes.
• Ensure documentation is clear, accurate, and accessible for future reference.

System Maintenance:

• Assist in the maintenance and troubleshooting of data processing systems, including software and hardware.
• Monitor system performance and report any issues to the IT department for resolution.
• Participate in system upgrades and testing to ensure compatibility and functionality.

Requirements:

• Bachelor’s degree in Data Science, Computer Science, Geography, Engineering, or a related field.
•  Minimum of 2 years of professional experience in data processing, data management, or a related field. Experience with 3D laser scanning and geospatial data processing is preferred.

Technical Skills:

• Proficiency in data processing and management software such as Microsoft Excel, SQL, and GIS software (e.g., ArcGIS, QGIS).
• Familiarity with 3D laser scanning and geospatial data processing tools and techniques.
• Knowledge of data visualization tools and report generation software.

Analytical Skills:

• Strong analytical skills with the ability to interpret complex data sets and generate actionable insights.
• Attention to detail with a focus on accuracy and data integrity.
• Ability to identify patterns, trends, and anomalies in data.

Communication Skills:

• Excellent verbal and written communication skills for reporting findings and collaborating with team members.
• Ability to explain technical data concepts to non-technical stakeholders in a clear and concise manner.

Problem-Solving Skills:

• Strong problem-solving abilities to address and resolve data processing issues efficiently.
• Ability to think critically and make decisions based on data analysis and project needs.

Organizational Skills:

• Strong organizational skills to manage multiple data processing tasks and meet deadlines.
• Ability to maintain thorough documentation and manage data records effectively.

Personal Attributes:

• Detail-oriented with a high level of accuracy in all aspects of data processing.
• Proactive and self-motivated with a strong work ethic.
• Committed to maintaining high standards of data quality and operational excellence.

Working Conditions:

• Primarily office-based with occasional fieldwork depending on project requirements.
• Extended periods of computer use.
• May require working outside regular office hours to meet project deadlines.