Remote Data Analyst (Part-Time) - $19/Hour
Job Highlights:
Start Date: Immediate openings available
Location: Remote (Seattle, USA based company)
Company: Amazon
Position: Data Analyst (Part-Time)
Compensation: Competitive salary ($19/hour)
Job Description:
We are seeking an experienced Data Analyst to join our team as a part-time remote worker. As a Data Analyst, you will play a key role in providing data analysis and support to our platform, service, and operational design teams. Your primary responsibility will be to define what questions should be asked and scale analysis methods and tools to support our growing business.
You will work closely with technical and non-technical team members throughout the organization, and your work will impact many partners at Amazon. Your duties will include:
Working with stakeholders to guide them towards better decision-making using available data
Advancing data and insights by managing communications with partners and different teams
Maintaining a customer-driven focus while being a subject matter expert through data
Managing ambiguous issues and adapting tools to address complex questions
Identifying trade-offs between speed and quality of different approaches
Creating analytical systems to measure team success by collaborating with teams to establish progress metrics
Operationalizing data processes to provide partners with ad-hoc analysis, automated dashboards, and self-service reporting tools
Benefits:
As an Amazon employee, you will be eligible for a range of benefits, including:
Medical, Dental, Vision, and Disability Insurance
401(k) and Maternity and Parental Leave
Flexible PTO and Commuter Benefits
Amazon Employee Discount
Monthly Allowance and Discounts for Health-Related Activities and Programs
Free Meals and Snacks
Requirements:
To be successful in this role, you will need:
2+ years of experience in a related field, with a strong background in data analysis and interpretation
Expert SQL skills and proficiency in Python/R
Experience using data to drive business results and inform decision-making
Strong communication and collaboration skills, with the ability to work with technical and non-technical stakeholders
Bachelor's degree in a related field
Preferred Qualifications:
While not essential, the following qualifications are desirable:
Passion for online communities, gaming, and Amazon
Experience in Operational Excellence, defining metrics, and analysis reporting
Experience working with software development and operational event data
Experience with machine learning techniques, such as logistic regression, decision trees, and neural networks
About Amazon:
Amazon is a multinational technology and e-commerce company based in Seattle, Washington, USA. Founded in 1994, Amazon has grown to become one of the world's largest online retailers and a leading player in various industries, including cloud computing, digital streaming, artificial intelligence, and more.
Ready to Apply?
If you are a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We are excited to review your application.
Apply Now
Apply Now
Start Date: Immediate openings available
Location: Remote (Seattle, USA based company)
Company: Amazon
Position: Data Analyst (Part-Time)
Compensation: Competitive salary ($19/hour)
Job Description:
We are seeking an experienced Data Analyst to join our team as a part-time remote worker. As a Data Analyst, you will play a key role in providing data analysis and support to our platform, service, and operational design teams. Your primary responsibility will be to define what questions should be asked and scale analysis methods and tools to support our growing business.
You will work closely with technical and non-technical team members throughout the organization, and your work will impact many partners at Amazon. Your duties will include:
Working with stakeholders to guide them towards better decision-making using available data
Advancing data and insights by managing communications with partners and different teams
Maintaining a customer-driven focus while being a subject matter expert through data
Managing ambiguous issues and adapting tools to address complex questions
Identifying trade-offs between speed and quality of different approaches
Creating analytical systems to measure team success by collaborating with teams to establish progress metrics
Operationalizing data processes to provide partners with ad-hoc analysis, automated dashboards, and self-service reporting tools
Benefits:
As an Amazon employee, you will be eligible for a range of benefits, including:
Medical, Dental, Vision, and Disability Insurance
401(k) and Maternity and Parental Leave
Flexible PTO and Commuter Benefits
Amazon Employee Discount
Monthly Allowance and Discounts for Health-Related Activities and Programs
Free Meals and Snacks
Requirements:
To be successful in this role, you will need:
2+ years of experience in a related field, with a strong background in data analysis and interpretation
Expert SQL skills and proficiency in Python/R
Experience using data to drive business results and inform decision-making
Strong communication and collaboration skills, with the ability to work with technical and non-technical stakeholders
Bachelor's degree in a related field
Preferred Qualifications:
While not essential, the following qualifications are desirable:
Passion for online communities, gaming, and Amazon
Experience in Operational Excellence, defining metrics, and analysis reporting
Experience working with software development and operational event data
Experience with machine learning techniques, such as logistic regression, decision trees, and neural networks
About Amazon:
Amazon is a multinational technology and e-commerce company based in Seattle, Washington, USA. Founded in 1994, Amazon has grown to become one of the world's largest online retailers and a leading player in various industries, including cloud computing, digital streaming, artificial intelligence, and more.
Ready to Apply?
If you are a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We are excited to review your application.
Apply Now
Apply Now