Junior Data Analyst (Remote) - $26/Hour

Join our team as a Junior Data Analyst and kickstart your career in data science! We're seeking a highly motivated and detail-oriented individual to work on exciting projects in the data analysis space. As a Junior Data Analyst, you will have the opportunity to work remotely and earn a competitive salary of $26/hour. Our company offers a dynamic and supportive environment, perfect for individuals looking to grow and develop their skills.

This is a full-time opportunity with a schedule of 8 hours per day, located in Seattle, USA. You will be working with a talented team of professionals who are passionate about driving business success through data-driven insights.

Job Details:

• Hiring Organization: Amazon
• Post Name: Data Scientist
• Qualifications: Bachelor's Degree in a quantitative field
• Industry: Private
• Employment Type: Full-time
• Work Hours: 8 hours
• Salary: $26/hour
• Locations: Seattle, USA

Job Description:

We are seeking a talented Junior Data Analyst to join our team and contribute to the development of our data analysis capabilities. As a Junior Data Analyst, you will have the opportunity to work on a wide range of projects, from data entry to complex business transformations, and end-user reporting.

Your key responsibilities will include:

• Collaborating with cross-functional teams to define business processes and provide analytical support
• Utilizing coding skills to analyze complex datasets and design, develop, and evaluate data transformations to solve specific business problems
• Building flexible, efficient, and automated data processes to facilitate client-facing reporting
• Automating business processes to streamline operations
• Communicating insights and recommendations to business stakeholders and leadership

Requirements:

• Bachelor's Degree in a quantitative field, such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/numerical programming (e.g., R, SAS, Matlab, etc.)
• 3+ years of experience with machine learning/statistical modeling, data analysis tools, and techniques, and parameters that influence their performance
• Experience applying theoretical models in an applied environment

Preferred Qualifications:

• Graduate degree in a quantitative field, such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• Experience in a machine learning or data scientist role with a large technology company

Don't Hesitate, Apply!

Don't worry if you don't meet every single requirement. We value a great attitude and a willingness to learn above all. Submit your application today and take the first step towards an exciting career in data science!