Join Our Dynamic Team at Amazon and Thrive in a Remote Work Environment! We're seeking a highly skilled and detail-oriented Data Collection Specialist to join our team in West Virginia, USA. As a key player in our data collection efforts, you will have the opportunity to work on exciting projects, collaborate with cross-functional teams, and contribute to the success of our organization. With a competitive salary of $28/hour and a comprehensive benefits package, this is an exceptional chance to advance your career and achieve your professional goals.
Job Summary: As a Data Collection Specialist, you will be responsible for collecting, validating, and analyzing data from various sources, ensuring accuracy and completeness. You will also enter data into precise systems or databases, perform quality assurance checks, and document data collection processes and findings. If you have a passion for data, excellent communication skills, and a strong attention to detail, we encourage you to apply for this exciting opportunity.
Key Responsibilities:
- Data Collection and Validation: Collect and verify data from multiple sources, ensuring accuracy and completeness.
- Research and Analysis: Conduct in-depth research and analysis to gather relevant data points and insights.
- Data Entry and Management: Enter collected data into precise systems or databases, ensuring organization and categorization.
- Quality Assurance: Perform quality checks on collected data to identify and correct discrepancies, errors, or inconsistencies.
- Documentation and Reporting: Document data collection processes, methodologies, and findings, and prepare reports or summaries for stakeholders.
- Compliance and Security: Adhere to data security protocols, privacy regulations, and protection standards to safeguard sensitive information.
- Process Improvement: Identify opportunities for process optimization and performance improvements in data collection procedures.
- Cross-Functional Collaboration: Collaborate with teams, including data analysts, researchers, and project managers, to align data collection efforts with project goals.
- Timely Delivery: Meet deadlines and deliverables according to project requirements.
- Continuous Learning and Development: Stay up-to-date with industry trends, data collection methodologies, and emerging technologies to enhance data collection strategies and skills.
Basic Qualifications:
- Bachelor's degree or GED with 1+ year of experience in data collection, technical support, project management, data processing, machine learning, or a related field.
Preferred Qualifications:
- Excellent communication, strong organizational skills, and highly detail-oriented.
- Experience working in a corporate environment.
- Comfortable working in a fast-paced, highly collaborative, dynamic work environment.
- Practical knowledge of machine learning and data processing needs and trade-offs.
- Experience working with prototype resources.
- Experience in research or data collection.
- Experience with scripting languages and Unix/Linux environment is a plus.
- A good sense of humor, a positive attitude, and excellent team work skills are a must.
- Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools.
Benefits:
Our benefits vary by location, the number of regularly scheduled hours you work, and how long you've worked for us. They also depend on your job status, including seasonal or temporary employment. Our benefits package includes:
- Medical plan options with a health savings account (with employee and company contributions).
- Dental and vision plans.
- Flexible spending account for health and structured care.
- 401(k) plan with company match.
- Company-paid basic life and accidental death and dismemberment insurance.
- Company-paid short-term and long-term disability insurance.
- Paid maternity and parental leave options.
- Paid time off and company-paid holidays.
Join Our Team!
This is a fantastic opportunity to grow your career. If you have the skills and passion we're looking for, please submit your application today.
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