Amazon| Data Associate I | Recruitment 2025 | Latest Jobs
Job description:
We are searching for exceptionally bright and driven individuals who can assess and/or offer high-quality data annotation for a range of workflows. Strong communication and analytical abilities, meticulousness, and a dedication to perfection are required of the ideal applicant.
Data Associate I
Usually found in data-driven companies, a Data Associate I is an entry-level role. Supporting data-related duties, including data collection, cleaning, processing, and management, is the main focus of the position.

Salary | Depends On Performance |
Educational Requirement | Any Graduate |
Work Arrangement | Work From Office |
Industry Type | Amazon |
Employment Type: | Full Time, Permanent |
Gender Preference | Both Male and Female |
Skills Requirement | Root cause analysis, Operational excellence, Image processing, Analytical, Machine learning, Workflow, augmented reality, Spanish, Customer experience, Troubleshooting |
Experience Requirement | 0 – 5 years |
Location | Hyderabad, Kolkata, Mumbai, New Delhi,Pune, Chennai, Bengaluru |
Working Hours | Full Time |
Additional Info | Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. |
Role Category | Data Science & Analytics – Other |
job responsibilities
You will be in charge of providing accurate and timely data annotation for a range of workflows as a Data Associate I, ML. As a result, the activities will be repeated and call on the candidate to make snap decisions while adhering to the given instructions. Among your primary duties will be (but not restricted to) the following:
- fulfills business objectives and KPIs, such as SLA, production, and quality standards.
- operates with little guidance
- keeps track of daily tasks by updating workflow tools or trackers as needed.
- complies with SOPs, guidelines, or supervisors’ directives and guarantees that output meets quality standards.
- contributes, where appropriate, to concepts of operational excellence and project improvement
- In charge of providing stakeholders with prompt, guided responses on associated duties, i.e., in accordance with SOP and established SLA
- proactively alerts managers or stakeholders to problems or concerns that could affect operations or key deliverables.
- analyzes data, assesses trends and patterns, and suggests general patterns that should be turned into regulations.
- Willingness to deal with delicate subjects, such as but not restricted to: Religious and philosophically sensitive matters, adult content, tobacco, firearms, and other potentially offending items
- resolving process-related problems and, if necessary, performing root cause analysis
- Knowledge of online shopping (e-commerce) Graduate or a comparable position
- fluent in Spanish. The candidate needs to show that they are proficient in all of the following languages:
- reading, writing, speaking, and understanding. Language proficiency of B2.2, BA, or Advanced Diploma is required.
- Strong command of the English language in reading, writing, speaking, and understanding
- Excellent communication and analytical abilities
- a strong commitment to providing excellent customer service and being composed under pressure
- Capacity to successfully and efficiently finish difficult tasks or goals within a certain SLA
Qualifications:
Education:
- A bachelor’s degree in a relevant discipline, such as business, computer science, statistics, mathematics, or comparable real-world experience.
Skills:
- basic knowledge of Microsoft Excel, including data validation, pivot tables, and calculations.
- familiarity with database administration platforms, preferably SQL.
- It helps to know how to use data visualization programs like Tableau or Power BI.
- knowledge of data processing methods, data integrity, and data structures.
Attributes:
- strong focus on data quality and attention to detail.
- strong problem-solving and analytical abilities.
- the capacity to prioritize and oversee several tasks.
- strong communication skills both in writing and speaking.
- the capacity to function well in a cooperative, team-focused setting.
Preferred Experience:
- Some knowledge in data entry or analysis (from work experience, school projects, or internships).
- fundamental knowledge of data analysis and statistical ideas.
Additional Information:
- The position presents a fantastic chance for career advancement in the data industry.
- To develop proficiency with data administration and analysis tools, on-the-job training will be offered.
FAQ& Answers
1: What is the role of a Data Associate I?
A: I am in charge of gathering, sanitizing, and evaluating data as a Data Associate I to guarantee its integrity and accuracy. In order to facilitate data-driven decision-making, I also help create reports and infographics.
2: What skills are required to become a successful Data Associate I?
A: You must have a solid grasp of data management concepts, be skilled with data cleaning and analysis software like Python or Excel and have exceptional attention to detail in order to succeed in this position.
3: How does a Data Associate I contribute to data quality improvement?
A: My responsibilities as a Data Associate I include locating discrepancies in the data, fixing mistakes, and putting quality control procedures in place to guarantee the data’s dependability and correctness.
4: Can you explain the difference between structured and unstructured data?
A: Information that has been arranged into predetermined formats, such as databases, is referred to as structured data. Unstructured data, like written documents or social media posts, on the other hand, has a set format and is therefore more difficult to process.
5: What are some common challenges faced by Data Associates in their work?
A: Data associates frequently face difficulties such as inconsistent data formats, noisy or missing data, effectively managing sizable datasets, and maintaining data security and privacy when working with sensitive data.
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