Data Management Specialist
hace 5 días
Company Overview
">- Spotter is a rapidly growing company that specializes in AI-powered solutions.
Salary
">$60,000 - $80,000 per year, depending on experience.Job Description
">- We are seeking an experienced Data Management Specialist to join our team. The successful candidate will play a key role in managing and maintaining the integrity of data within our systems.
Key Responsibilities:
- Data Entry and Management:
- Enter and update large volumes of data into various internal systems, ensuring that all data is accurate, complete, and well-organized.
- This includes entering information from paper documents, spreadsheets, and other sources into our digital systems.
- Data Validation and Quality Assurance:
- Regularly review and verify data for completeness and accuracy.
- Correct errors or inconsistencies in datasets, ensuring that all information is consistent with established guidelines and quality standards.
- Data Organization:
- Organize and classify data into relevant categories, making sure it is easy to access and retrieve for analysis.
- You will help design and maintain organized digital filing systems that allow teams to quickly find and use the data they need.
- Collaboration with Teams:
- Work closely with various departments, such as analytics, operations, and customer support, to ensure that data is accurately entered and integrated across multiple systems.
- This may involve coordinating with team members to resolve data discrepancies or provide updates on data entry progress.
- Data Reporting Support:
- Assist in the creation and preparation of reports, documents, and presentations based on data collected from various sources.
- Your attention to detail will help ensure that data presented in reports is accurate and timely.
- Routine Data Audits:
- Conduct regular data audits to ensure data integrity is maintained.
- This includes checking for duplicate entries, missing data, or inconsistencies, and proactively resolving any issues found.
- Automation and Efficiency Improvements:
- Collaborate with the technical team to identify areas where data entry processes can be streamlined or automated.
- Helping to increase the overall efficiency of our workflows.
- Maintaining Confidentiality and Security:
- Handle all data with the utmost confidentiality, ensuring that sensitive information is protected and stored in accordance with company policies and industry best practices.
- Ensure that data privacy standards are always adhered to.
- Continuous Learning:
- Stay updated on the latest tools, techniques, and technologies used in data management and data entry.
- Participate in training and development programs to continuously improve your skills and enhance your contributions to the team.
- Timely and Accurate Work:
- Adhere to deadlines and maintain high productivity levels.
- Prioritize tasks, manage multiple data entry projects at once, and ensure that all work is completed in a timely and accurate manner.
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