Junior Data Analyst

Job Overview

Location
George Town, Penang, Malaysia
Job Type
FULL_TIME

Additional Details

Job ID
15563
Job Views
1.4k

Job Description

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Job Summary

Amazon is seeking a Junior Data Analyst to join our dynamic team. This role is ideal for individuals who are passionate about data analysis, with a strong drive to work in a fast-paced, innovative environment. As a Junior Data Analyst, you will collaborate with teams across the business to derive actionable insights from complex data sets, supporting decision-making processes and driving strategic initiatives. You will gain exposure to various areas of the business and be a critical part of Amazons growth and success.


Key Responsibilities

  • Analyze large data sets to uncover trends, patterns, and insights that inform business strategies.

  • Develop and maintain data dashboards and reports to support decision-making processes.

  • Assist senior analysts in data extraction, cleaning, and processing.

  • Perform statistical analysis to identify opportunities for optimization and efficiency improvements.

  • Collaborate with cross-functional teams to understand their data needs and provide actionable insights.

  • Present findings to stakeholders through clear and effective data visualizations.

  • Continuously monitor key performance metrics to ensure data quality and integrity.

  • Stay up-to-date with the latest data analysis tools and techniques to improve efficiency and accuracy.


Required Skills and Qualifications

  • Bachelors degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.

  • Proficiency in Microsoft Excel, SQL, and data visualization tools (e.g., Tableau, Power BI).

  • Familiarity with statistical analysis software (e.g., R, Python, SPSS).

  • Strong analytical and problem-solving skills with a keen attention to detail.

  • Ability to work with large data sets and extract meaningful insights.

  • Strong communication skills, with the ability to present complex data to non-technical stakeholders.

  • Self-motivated, with the ability to work independently and as part of a team.


Experience

  • Previous experience in a data analysis role, internship, or academic projects is a plus.

  • Exposure to business intelligence tools and data mining techniques is advantageous.

  • Experience working with databases, data manipulation, and reporting.


Working Hours

  • Full-time, with flexible working hours.

  • Opportunity to work remotely or from Amazons office based on preference.


Knowledge, Skills, and Abilities

  • Strong quantitative and qualitative analysis skills.

  • Ability to handle complex data, identify trends, and provide actionable insights.

  • Strong time management skills and the ability to prioritize multiple tasks effectively.

  • Excellent problem-solving abilities and a data-driven mindset.

  • Ability to communicate findings effectively to a variety of stakeholders.


Benefits

  • Competitive salary and performance-based bonuses.

  • Health, dental, and vision insurance plans.

  • Generous paid time off (PTO) and holiday schedules.

  • Access to Amazons comprehensive learning and development programs.

  • Opportunities for career growth and advancement within Amazon.

  • Employee discounts and other Amazon-specific perks.

  • Flexible work arrangements to support work-life balance.


Why Join Amazon?

At Amazon, we are dedicated to fostering a workplace where employees thrive both professionally and personally. As a Junior Data Analyst, you will have the opportunity to work with cutting-edge technologies in a fast-paced environment, collaborate with diverse teams, and contribute to impactful projects. We value innovation, creativity, and a results-driven attitude. Join us in shaping the future of global e-commerce and technology!


How to Apply

To apply for the Junior Data Analyst position, please visit Amazons career website and submit your updated resume along with a cover letter detailing your interest and qualifications for the role. Be sure to include any relevant experience or projects that showcase your analytical skills and passion for data.

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