Data Analyst - Data Analyst I

• Accurately annotate the samples collected to train a device based on the standard operating procedure provided
• Understand procedures and guidelines for new annotation requirements
• Perform repetitive exercises based on the dynamic instructions without compromising on quality
• Use software tools for data capture and comply with the processes of the organization on a daily basis
• Be comfortable with capturing results, communicating and escalating failures and providing individual status reports and adhering to Productivity and Quality base lines.
• Own their individual targets against the expected delivery

• You perform simple annotation and/or data collection tasks related to an Amazon device, application, or service.
• You execute tasks assigned to you on a daily basis by adhering to Standard Operating Procedures (SOPs) and predefined guidelines.
• You achieve the target quality, productivity and utilization baselines set for your role.
• You acquire the knowledge related to task execution from peers, on the job training and via content provided by your manager (E.g., SharePoint, wiki etc.).
• You use internal tools and software related to data collection and annotation.
• You seek clarification from your peers and/or your manager in the case of uncertain task scenarios or unclear work instructions.
• You inform your team manager when your work is delayed or blocked due to technical issues and describe the issue clearly.
• In the event of a problem, you are able to proceed when a workaround is recommended.
• You track queries related to annotation/data collection and share them with the relevant stakeholders to help solve them.
• You track daily task completion status using recommended tools and provide individual status reports.
• You own the quality of your execution and stay focused on individual result improvement.
• You adhere to confidentiality & compliance requirements to ensure zero risk to customer data and Amazon.
• You may participate in data collection activities when provided with scripts and instructions.
• You help the team test new SOPs and tools.
• You actively participate in internal cross trainings and knowledge sharing sessions and other trainings required.
• You contribute to process improvements by suggesting ideas, e.g. process simplification, error reduction and tooling improvement suggestions.
• You have basic knowledge on ML data labeling process, related tools and software used for ground truth generation.
• You have understanding of one or more ML data workflows.
• You may assist in the development of new-hires to help them scale in their role.

Varite