1. Records Management

• Develop and implement procedures and guidelines for efficient records management.
• Identify areas within data processes that could benefit from automation or improved efficiency.
• Establish and maintain automated data processes to support data validation and cleaning.

2. Technology and Tools

• Research, evaluate, and implement external services and technologies to enhance data processes.
• Utilize appropriate tools to gather, document, and analyze specific business requirements.

3. Reporting and Analysis

• Develop and refine reporting procedures to ensure consistent, high-quality data outputs.
• Create and maintain data visualizations, graphs, and dashboards to simplify data interpretation.
• Design, execute, and analyze surveys, ensuring data integrity and relevance.

4. Data Quality and Maintenance

• Regularly monitor and assess data quality to maintain accuracy and consistency.
• Communicate with internal and external clients to understand the context and requirements for data usage.

5. Data Manipulation and Interpretation

• Leverage business analytics tools to manipulate, analyze, and interpret large data sets, generating reports for both internal and external stakeholders.
• Perform data mining and analysis to support sector and competitor benchmarking.