Amazon Remote Operations Data Analyst – Night Shift (Entry Level, Paid Training – Maintain Performance Dashboards & Listing Insights)

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Amazon Remote Operations Data Analyst – Night Shift (Entry Level, Paid Training – Maintain Performance Dashboards & Listing Insights)

About the Role

Are you a detail-oriented individual with a knack for data and a desire to work remotely? Do you thrive in a fast-paced environment and enjoy solving problems? If so, this entry-level Remote Operations Data Analyst position with Amazon could be the perfect opportunity for you! In this role, you will play a crucial part in maintaining performance dashboards and providing valuable listing insights to optimize Amazon's operations. This position offers comprehensive paid training and the opportunity to grow your skills in a dynamic, data-driven environment. This is a night shift position.

Responsibilities

  • Data Monitoring and Analysis: Monitor key performance indicators (KPIs) related to Amazon's operations and identify trends, anomalies, and potential issues.
  • Dashboard Maintenance: Maintain and update performance dashboards using various data visualization tools, ensuring data accuracy and relevance.
  • Listing Insights: Analyze product listings to identify areas for improvement in terms of content, keywords, and presentation to enhance visibility and sales.
  • Reporting and Communication: Generate regular reports on operational performance, highlighting key findings and recommendations for improvement. Communicate insights effectively to stakeholders.
  • Data Integrity: Ensure data accuracy and consistency by implementing data validation processes and resolving data discrepancies.
  • Process Improvement: Identify opportunities to streamline data collection, analysis, and reporting processes to improve efficiency.
  • Collaboration: Collaborate with cross-functional teams, including operations, marketing, and product management, to support data-driven decision-making.
  • Training and Development: Participate in ongoing training and development programs to enhance your data analysis skills and stay up-to-date with industry best practices.
  • Problem Solving: Investigate and resolve data-related issues, working with technical teams to identify root causes and implement solutions.
  • Ad-hoc Analysis: Conduct ad-hoc data analysis to answer specific business questions and support strategic initiatives.

Qualifications

  • High school diploma or equivalent required; Bachelor's degree in a related field (e.g., Statistics, Mathematics, Economics, Business) preferred.
  • Entry-level position; no prior experience required. However, experience in data analysis or a related field is a plus.
  • Strong analytical and problem-solving skills.
  • Proficiency in Microsoft Excel, including data manipulation, formulas, and charting.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Strong attention to detail and accuracy.
  • Ability to manage multiple tasks and prioritize effectively.
  • Comfortable working a night shift schedule.
  • Basic understanding of e-commerce and online retail is a plus.

Benefits

  • Competitive Salary: Receive a competitive salary commensurate with experience and qualifications.
  • Paid Training: Benefit from comprehensive paid training to develop your data analysis skills and knowledge of Amazon's operations.
  • Remote Work Opportunity: Enjoy the flexibility of working from home.
  • Health Insurance: Access to comprehensive health insurance coverage, including medical, dental, and vision.
  • Paid Time Off: Accrue paid time off for vacation, sick leave, and holidays.
  • Retirement Plan: Participate in a retirement savings plan with company matching contributions.
  • Employee Discount: Receive employee discounts on Amazon products and services.
  • Career Growth: Opportunity for advancement within the company based on performance and contributions.
  • Professional Development: Access to ongoing training and development resources to enhance your skills and career prospects.
  • Supportive Work Environment: Work in a supportive and collaborative team environment.

Working Hours

This is a night shift position. Specific hours will be discussed during the interview process.

To Apply

If you are a motivated individual with a passion for data and a desire to work remotely, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter through the application link below.

Apply Now

Life at Amazon

Amazon is a place where builders can build. Our inventions change the way the world experiences convenience, and our ideas are transforming entire industries. We offer an environment where you can experiment, innovate, and grow. We are committed to diversity and inclusion and strive to create a workplace where everyone feels valued and respected.

Our Values

  • Customer Obsession: We start with the customer and work backwards.
  • Invent and Simplify: We are relentlessly focused on innovation.
  • Are Right, A Lot: We have strong judgment and good instincts.
  • Learn and Be Curious: We are never done learning and always seek to improve ourselves.
  • Hire and Develop the Best: We raise the performance bar with every hire and promotion.
  • Insist on the Highest Standards: We have relentlessly high standards.
  • Think Big: We think differently and challenge the status quo.
  • Bias for Action: We value speed and decisive action.
  • Frugality: We accomplish more with less.
  • Earn Trust: We are trustworthy and respect each other.
  • Dive Deep: We operate at all levels and pay attention to detail.
  • Have Backbone; Disagree and Commit: We respectfully challenge decisions when we disagree and then commit wholly.
  • Deliver Results: We focus on key inputs for our business and deliver them with the right quality and in a timely fashion.

Equal Opportunity Employer

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