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An ERP Data Analyst is a professional who specializes in managing and analyzing data within an organization's ERP system. Their primary responsibilities involve ensuring data accuracy, integrity, and usability while providing insights and reports that help decision-makers make informed choices. Here are the key responsibilities and activities typically associated with the role of an ERP Data Analyst:
Data Management
Ensure the accuracy, completeness, and integrity of data stored in the ERP system.
Develop and implement data quality standards, data validation rules, and data cleansing procedures.
Data Extraction and Transformation
Extract data from various sources, including ERP databases, external systems, and spreadsheets.
Transform and clean data to ensure consistency and compatibility for analysis.
Data Analysis and Reporting
Analyze ERP data to identify trends, patterns, and anomalies.
Generate reports, dashboards, and visualizations to provide insights into business performance, such as sales trends, inventory levels, financial metrics, and more.
Data Integration
Integrate data from different modules or systems within the ERP, ensuring that data flows smoothly between them.
Collaborate with IT and integration teams to maintain data pipelines and interfaces.
Data Modeling
Create and maintain data models or schemas that reflect the structure of the ERP data.
Design data structures to support reporting and analysis requirements.
Data Security
Implement and enforce data security policies and access controls to protect sensitive data within the ERP system.
Monitor and audit data access to ensure compliance with security protocols.
Data Governance
Establish data governance policies, procedures, and standards for data management within the ERP.
Ensure compliance with data governance frameworks and regulations.
User Training and Support
Provide training and support to end-users on data entry, data extraction, and reporting tools within the ERP system.
Assist users in generating ad-hoc reports and queries.
Data Documentation
Maintain comprehensive documentation of data structures, data dictionaries, and data transformation processes.
Document data sources, data lineage, and data definitions.
Data Quality Improvement
Monitor data quality over time and implement strategies to address data discrepancies or errors.
Collaborate with business users to identify and rectify data quality issues.
Performance Optimization
Optimize data retrieval and reporting processes to enhance system performance and reduce query times.
Identify and address bottlenecks in data processing.
Compliance and Regulations
Ensure that the management of data within the ERP system complies with industry regulations and data privacy laws.
Continuous Improvement
Stay informed about ERP system updates and enhancements related to data management.
Recommend and implement improvements to data-related processes and tools.
