About Us
At Amazon, we're committed to revolutionizing the way people live, work, and shop. As a multinational e-commerce giant, we're constantly pushing the boundaries of innovation and excellence. Our team is passionate about harnessing the power of data to drive business growth, improve customer experiences, and stay ahead of the competition. If you're a data-driven professional with a passion for paid media optimization and business intelligence, we want to hear from you!
Job Summary
We're seeking an experienced Full Stack Data Analyst to join our team and play a key role in optimizing our paid media spend and driving business growth. As a Full Stack Data Analyst, you'll work closely with our paid media science team and marketing groups to identify opportunities for improvement, develop and implement data-driven solutions, and analyze the impact of our efforts. If you're a detail-oriented, analytical, and creative problem-solver with a passion for data, we encourage you to apply for this exciting opportunity.
Key Responsibilities
- Conduct in-depth analysis of paid media data to identify trends, opportunities, and challenges
- Develop and maintain data visualizations, reports, and dashboards to communicate insights and recommendations to stakeholders
- Collaborate with paid media science team and marketing groups to identify areas for improvement and develop data-driven solutions
- Design and implement experiments to test the effectiveness of paid media campaigns and optimize spend
- Develop and maintain business intelligence tools and processes to support data-driven decision-making
- Work with cross-functional teams to identify and prioritize business challenges and develop data-driven solutions
- Stay up-to-date with industry trends and best practices in paid media optimization and business intelligence
Essential Qualifications
To be successful in this role, you'll need:
- Experience in business intelligence, data analysis, or a related field in an e-commerce or online business environment
- High-level SQL experience and proficiency in at least one industry-standard data analysis and visualization tool (e.g., Tableau, Power BI, or D3.js)
- Master's degree in a related field (e.g., business, computer science, mathematics, or statistics)
- Strong analytical and problem-solving skills, with the ability to communicate complex insights and recommendations to non-technical stakeholders
- Excellent communication, collaboration, and project management skills, with the ability to work effectively in a fast-paced, dynamic environment
Preferred Qualifications
We're looking for candidates with:
- Experience working with large datasets and complex data systems
- Knowledge of programming languages such as Python, R, or SQL
- Experience with data visualization tools such as Adobe Analytics or Google Analytics
- Strong understanding of statistical modeling and machine learning concepts
- Experience working in a cloud-based environment (e.g., AWS, Azure, or Google Cloud)
What We Offer
As a Full Stack Data Analyst at Amazon, you'll enjoy a competitive salary, comprehensive benefits package, and opportunities for professional growth and development. You'll also have access to cutting-edge technology, collaborative work environment, and a dynamic team of professionals who share your passion for data-driven decision-making.
Work Environment and Culture
Our team is passionate about creating a collaborative, inclusive, and dynamic work environment that fosters innovation, creativity, and growth. We're committed to diversity, equity, and inclusion, and we strive to create a workplace that reflects the diversity of our customers and the communities we serve. If you're a team player who shares our values and is passionate about data-driven decision-making, we encourage you to apply for this exciting opportunity.
Compensation and Benefits
We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development. Our benefits package includes:
- Health insurance: comprehensive medical, dental, and vision insurance for eligible employees and their families
- Retirement savings: 401(k) plan with a company match to help you save for your future
- Stock options: opportunity to become a partial owner of Amazon
- Paid time off: generous paid vacation days, sick leave, and holidays
- Employee discounts: discounts on Amazon products and services
- Training assistance: support for pursuing higher education or professional certifications
- Career advancement opportunities: opportunities to grow and develop your career within Amazon
How to Apply
If you're a motivated, analytical, and creative problem-solver with a passion for data-driven decision-making, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples or projects that demonstrate your skills and experience. We can't wait to hear from you!
Work Schedule
As a Full Stack Data Analyst, you'll work a standard Monday-to-Friday schedule, with flexible hours on Saturday and Sunday to catch up on any pending tasks or to get ahead for the upcoming week. Your work schedule will be adjusted based on individual preferences, workload, and company policies.
Monday to Friday Schedule
- 9:00 AM - 9:15 AM: Check emails and messages for any urgent updates or instructions from the supervisor
- 9:15 AM - 10:00 AM: Review the day's tasks and prioritize them accordingly
- 10:00 AM - 12:00 PM: Data entry tasks (inputting product information into the database, updating inventory records, processing customer orders and returns)
- 12:00 PM - 1:00 PM: Lunch break
- 1:00 PM - 3:00 PM: Continue with data entry tasks
- 3:00 PM - 3:15 PM: Short break for stretching or a quick walk
- 3:15 PM - 5:00 PM: Complete any pending tasks and prepare for the next day (double-check data entries for accuracy, organize files and documents, respond to any pending emails or inquiries)
- 5:00 PM: End of the workday
Saturday and Sunday Schedule
- Flexible hours: Depending on workload and personal availability, dedicate a few hours each day to catch up on any pending tasks or to get ahead for the upcoming week
Apply Now!
Ready to join our team and start making a difference with data-driven decision-making? Apply now and take the first step towards an exciting career opportunity with Amazon!
Apply Now