Data Reporting Assistant

DESCRIPTION
• Contribute to organizational improvement by gathering and analyzing data, preparing reports, and introducing process improvements throughout the reporting Upgrade to see actual infoSENTIALS
• Have excellent analytical and technical skills, in addition to a keen ability to determine specifications and standards for business reporting and maintaining data integrity.
• Must be able to work during night shift 6AM-2PM EST

RESPONSIBILITIES
• Gather and maintain a wide array of data-related business processes and reporting.
• Entering information into existing databases and creating new processes and programs to accurately input and store critical data.
• Work with data structures and metadata to ensure consistency, security, and accessibility.
• Have an active role in data analysis and interpretation
• Exercise sound judgment while analyzing and interpreting data to ensure a high level of accuracy, timeliness, and usefulness for business leaders.
• Prepare business documents and presentations for upper management and executives.
• Use data-gathering and modeling strategies to provide an overview of new processes and enhanced procedures for business-wide reporting.
• Prepare the actual business reports, which include data on sales, customers, and financial performance.
• Work across business lines, conferring with managers and executives to gather requirements and specifications while developing enhanced data and reporting tools.
• Work directly with team leaders to gain a better sense of the current shortcomings in reporting technology and devise solutions to enhance reporting and data management.
• Ensure a high level of security, accuracy, and efficiency, reporting analysts conduct routine audits of data storage systems and databases, conducting many tests and analyzing the results before devising new solutions or finding ways to enhance data management solutions.

IMPORTANT QUALITIES
• Data management – should have extensive familiarity with data management principles and practices, including metadata management and data access technologies
• Analysis – to rigorously and effectively examine large quantities of data and derive insights from these data sets
• System architecture – design database and data management systems for company-wide deployment
• Written and verbal communication – to communicate across business lines and report on findings and processes to executives and employees
• Problem-solving – to find solutions to an organization’s data management and reporting problems and to be able to adapt and modify solutions based on changing requirements

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