Amazon Data Analyst ID-7367

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Job Summary:

Amazon is seeking a motivated and detail-oriented Data Analyst to join our team. As a Data Analyst, you will be responsible for analyzing large datasets, identifying trends, and providing actionable insights to support business decisions. You will work closely with cross-functional teams, utilizing your strong analytical skills and expertise to optimize Amazons business strategies, improve customer experience, and drive innovation across the company.

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Key Responsibilities:

  • Analyze complex data sets to extract meaningful insights, trends, and patterns.
  • Create and maintain reports and dashboards to monitor key business metrics.
  • Collaborate with business teams to understand requirements and deliver data-driven recommendations.
  • Perform data validation and ensure data accuracy and integrity across systems.
  • Present findings and insights to leadership in a clear and concise manner.
  • Identify opportunities for process improvements and contribute to automation initiatives.
  • Work with large-scale databases and ensure the efficient extraction and processing of data.
  • Ensure compliance with data privacy and security regulations.
  • Continuously learn and stay updated with emerging trends in data analytics and technology.

Required Skills and Qualifications:

  • Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Strong proficiency in SQL and data query languages.
  • Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
  • Proficiency in programming languages like Python, R, or similar for data analysis.
  • Solid understanding of statistical analysis, modeling techniques, and hypothesis testing.
  • Experience working with large datasets and relational databases.
  • Ability to communicate complex data insights to non-technical stakeholders.
  • Strong attention to detail and excellent problem-solving skills.
  • Ability to work independently and collaborate in a team environment.
  • Familiarity with machine learning concepts and predictive analytics (preferred).

Experience:

  • At least 2+ years of experience in data analysis, business intelligence, or a related role.
  • Experience working in an e-commerce or technology-driven environment (preferred).
  • Proven track record of delivering data insights that drive business decisions.

Working Hours:

  • Full-time position with flexible working hours.
  • Remote work opportunity with occasional meetings in different time zones as required.
  • May require occasional weekend or after-hours work depending on project deadlines.

Knowledge, Skills, and Abilities:

  • Advanced knowledge of data analysis techniques and best practices.
  • Expertise in using data analysis software and business intelligence tools.
  • Strong organizational and time management skills to handle multiple tasks effectively.
  • Ability to work with stakeholders from various departments to understand their data needs.
  • Strong critical thinking and analytical skills to interpret complex datasets.
  • Proficient in statistical and analytical software (e.g., Excel, SPSS, SAS).

Benefits:

  • Competitive salary and performance-based bonuses.
  • Comprehensive health and wellness benefits including medical, dental, and vision plans.
  • Generous paid time off (PTO), including vacation, sick leave, and holidays.
  • 401(k) plan with company match.
  • Opportunity for career growth and development within Amazon.
  • Access to training and certification programs to further enhance your skills.
  • Work-from-home flexibility and a collaborative team-oriented environment.
  • Employee discounts on Amazon products and services.

Why Join Amazon:

  • Innovative Culture: Work at the forefront of technology and innovation with one of the worlds leading e-commerce platforms.
  • Career Growth: Amazon provides unparalleled opportunities for career advancement and professional development.
  • Impact: Contribute to the success of a global company and work on impactful projects that influence millions of customers.
  • Work-Life Balance: Amazon values work-life balance and offers flexible remote work options, enabling you to maintain a fulfilling personal and professional life.
  • Global Network: Join a diverse team of professionals who are passionate about data and making a difference in the world.

How to Apply:

Interested candidates are invited to apply by submitting a detailed resume and a cover letter outlining their qualifications and relevant experience. Please ensure that you clearly demonstrate how your skills align with the responsibilities of the role.
Applications can be submitted through Amazons career portal or by clicking the Apply Now button. We look forward to reviewing your application!

Amazon
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