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Part Time Manager, Analytics - Amazon Data Entry & Business Insights Role

Work from home Full-time role Hiring

Unlock Your Potential with Amazon's Part Time Data Entry Opportunity

Are you a detail-oriented and analytical individual looking for a challenging yet rewarding part-time role? Do you have a passion for data analysis and business insights? Look no further! We are excited to present an exceptional opportunity to join Amazon as a Part Time Manager, Analytics, where you will play a crucial role in driving business growth through data-driven decision-making.

About Amazon and This Role

Amazon is a global leader in e-commerce and technology, known for its innovative culture and commitment to customer satisfaction. As a Part Time Manager, Analytics, you will be an integral part of Amazon's paid media examination capability, working closely with marketing teams to identify opportunities for growth and optimization. This role is not only about data entry; it's about transforming data into actionable insights that inform strategic decisions and drive business success.

Key Responsibilities

  • Deliver reporting and insights in the space of paid media, providing data-driven recommendations to stakeholders.
  • Design and lead the development of analytics, BI, and data science projects aimed at optimizing paid media and improving marketing efficiencies.
  • Collaborate with paid media data science teams and marketing teams to implement media mix models and drive business outcomes.
  • Conduct ad-hoc analysis through database querying, followed by insightful interpretation of results and the reporting and communication of recommendations that drive action.
  • Work closely with marketing, finance, and data product teams to address business challenges and track marketing and product performance using a data-driven approach.
  • Utilize tools like SQL, MicroStrategy, Tableau, Excel, and other reporting tools to create and maintain scheduled and ad-hoc reports.
  • Analyze data to identify business issues and conduct deep dives to perform root cause analysis, providing actionable insights to stakeholders.
  • Collaborate with stakeholders to leverage data (internal data from Amazon, as well as external data from market research and advertising agencies) and address complex business challenges by delivering meaningful insights.
  • Conceptualize and run analysis that generates insights on customer behavior and customer needs to help further develop and improve Amazon's value proposition.

Essential Qualifications

  • Bachelor's degree in a quantitative field such as data science, business, economics, information technology, statistics, mathematics, or a related field.
  • Advanced SQL experience and proficiency in at least one industry examination and metrics visualization tool (e.g., Tableau/QuickSight/PowerBI).
  • Mastery in Excel with a proven track record of using it for complex data analysis.
  • Experience in the space of Business Intelligence, Analysis, or Consulting in an e-commerce environment or related field.

Preferred Qualifications

  • Enjoy working in a team of highly engaged individuals who share a passion for data analysis and business insights.
  • Strong passion for numbers, data, and statistics, as well as for delivering high-quality analysis.
  • Action-oriented, highly organized, and able to complete tasks and projects with minimal guidance and tight deadlines.
  • Excellent communication (verbal and written), interpersonal skills, and the ability to communicate effectively with both business management and technical teams.
  • Experience with subscription-based or media content organizations.
  • Interest in or experience with cutting-edge data science approaches.
  • Knowledge of programming languages such as Python, Java, or C#, or statistical programming languages like R or SAS.
  • Familiarity with Adobe Analytics is a plus.

What We Offer

As a Part Time Manager, Analytics at Amazon, you will not only enjoy a competitive hourly salary of $27 but also have the opportunity to be part of a dynamic and innovative company. You will work in a remote environment with flexible hours, allowing you to balance your work and personal life effectively. Amazon is committed to providing its employees with a comprehensive benefits package, opportunities for career growth, and a culture that values diversity and inclusion.

Career Growth and Learning Benefits

At Amazon, we believe in fostering a culture of continuous learning and professional growth. As a Part Time Manager, Analytics, you will have access to a wide range of training and development programs designed to enhance your skills and knowledge. You will work on challenging projects that will help you grow professionally and personally, and you will have the opportunity to collaborate with talented individuals from diverse backgrounds.

Work Environment and Company Culture

Amazon is known for its innovative and customer-obsessed culture. As a remote part-time employee, you will be part of a global team that is passionate about delivering exceptional customer experiences. You will work in a dynamic environment that encourages creativity, collaboration, and continuous improvement.

Compensation and Benefits

We offer a competitive compensation package that includes an hourly salary of $27. While specific benefits may vary, Amazon is committed to providing its employees with a comprehensive benefits package that includes health insurance, retirement savings plans, and paid time off, among other perks.

Join Our Team!

If you are a motivated and analytical individual with a passion for data analysis and business insights, we encourage you to apply for this exciting opportunity. Even if you feel you're not a perfect match, we'd still love to hear from you. We are looking for great people to join our friendly team and contribute to Amazon's continued success.

Don't miss this chance to unlock your potential and join Amazon as a Part Time Manager, Analytics. Apply now and take the first step towards a rewarding career with a global leader in e-commerce and technology.

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