Job Description: Data Tagging Executive (Contract)
Role: Data Tagging Executive
Job Type: Contract (Remote)
Experience Level: 0 – 1 Years
Roles and Responsibilities as Data Tagging Executive
- Accuracy in Work:
- Deliver 100% accurate data tagging and processing.
- Ensure all processed data adheres to the required quality standards without errors.
- Target Achievement:
- Meet or exceed the Service Level Agreement (SLA) targets set for the project.
- Complete deliverables on time.
- Effective Communication:
- Collaborate and communicate promptly with Team Leads regarding progress, issues, and updates.
- Participate in team discussions and updates to align with project goals.
- Diligence and Sincerity:
- Consistently meet client deliverables without delays.
- Exhibit strong commitment to deadlines and project quality.
- Ownership and Accountability:
- Take responsibility for the quality of work delivered.
- Ensure the success of outcomes through proactive engagement and attention to detail.
Minimum Qualifications/Skills Required: Data Tagging Executive
- Educational Requirements:
- Must be a graduate or currently pursuing graduation.
- Technical Skills:
- Basic understanding of computer operations.
- Familiarity with Microsoft Excel, PowerPoint, Google Sheets, Google Slides, and Gmail.
- Soft Skills:
- Adaptability to changing requirements.
- Strong willingness to learn and execute tasks as per client needs.
- Additional Requirements:
- Keen attention to detail.
- Ability to work independently while maintaining team alignment.
Minimum Hardware Requirements: Data Tagging Executive
- Laptop Specifications:
- Processor: Minimum Intel i3.
- RAM: At least 4GB.
- Electricity Backup:
- A power backup system to avoid work disruptions.
- Internet Requirements:
- Minimum internet speed of 20 Mbps.
Sample Interview Questions and Answers for Data Tagging Executive
1. Can you explain the importance of accuracy in a data tagging role?
Answer: Accuracy ensures the integrity and reliability of the data. Accurate tagging directly impacts the client’s decision-making process, helping them derive meaningful insights from the data.
2. How would you handle a situation where you are unable to meet the SLA for a project?
Answer: I would immediately inform my Team Lead about the potential delay and discuss strategies to mitigate it. Additionally, I would prioritize tasks and consider seeking assistance if necessary to improve efficiency.
3. Describe a scenario where you adapted to a shifting requirement at work.
Answer: In my previous experience, I was asked to shift focus from one data set to another with new tagging criteria. I quickly familiarized myself with the new requirements and completed the task within the revised timeline.
4. What steps do you take to ensure your work meets the required quality standards?
Answer: I double-check my work against guidelines, use quality check tools if available, and review the data thoroughly before submission. Feedback from peers and supervisors also helps refine my output.
5. How proficient are you with tools like Excel and Google Sheets?
Answer: I am proficient with Excel and Google Sheets, including basic formulas, data sorting, filtering, and creating pivot tables. I also use these tools to organize and analyze data efficiently.
6. How do you ensure effective communication in a remote working environment?
Answer: I use tools like email, messaging platforms, and video calls to maintain clear communication. I also ensure regular updates to my Team Lead and participate in virtual meetings.
7. Can you describe a time when you took ownership of a challenging task?
Answer: During a group project, I volunteered to lead the task distribution and ensure all members adhered to deadlines. This required constant follow-up and problem-solving, but we successfully completed the project on time.
8. How do you manage your workload when multiple tasks are assigned simultaneously?
Answer: I prioritize tasks based on urgency and importance. I create a to-do list and allocate specific time slots to ensure efficient completion without compromising quality.
9. What do you do if you encounter a technical issue while working?
Answer: I first troubleshoot the issue using available resources or guides. If the problem persists, I promptly inform the technical support team and my Team Lead to minimize downtime.
10. Why are you interested in this role?
Answer: I am passionate about data management and organization. This role aligns with my skills in accuracy, efficiency, and adaptability, and I am excited to contribute to meaningful projects in a collaborative environment.
