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!
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