Amazon 2024: Exciting Opportunity for Freshers as Business Analyst Internย Candidates with Pursuing a bachelorโs degree or higher in a quantitative/technical field are eligible to apply. Detailed eligibility criteria and application process provided below.
Eligibility criteria and application process provided below :
Job Description :
- Supply Chain Analytics, Product and Research (SHARP) leads innovative projects in multiple countries, including Brazil, Mexico, Australia, the Middle East, South Africa, Turkey, Japan, and India. These projects aim to optimize the entire supply chain and provide the best customer experience in the world.
- Our goal for inventory placement is to ensure products are in the right place, in the right quantity, and at the right time. To achieve this, we develop analytical tools to check and enhance the systems that manage inventory placement. We also create statistical models for forecasting, classification, and recommendation, as well as simulation frameworks for A/B testing, to drive improvements in the supply chain.
Role Details :
Company Name :ย Amazon
Job Role: Business Analyst Intern
Qualification:ย Bachelorโs/ Masterโs degree
Experience:ย Freshers
Batch: ย 2024/2025/2026
Salary:ย โน 8 to 9 LPA (Expected)
Job Location:ย Bangalore
Key Job Responsibilities :
This is an analytical role that supports Supply Chain operations. The person in this position will collaborate with various business teams to create and maintain regular and ad hoc business reports and provide necessary analytical support.
We are seeking a customer-focused, detail-oriented, self-driven, and practical Business Analyst. This person will work closely with both internal and external stakeholders on the following tasks:
- Developing and maintaining Business Intelligence (BI) products.
- Interacting with customers and mapping out features.
- Conducting ad-hoc analyses to examine system decisions and their impact on metrics.
Basics Qualificaition :
- Strong skills in SQL, Tableau, Excel, Quicksight, or other data visualization tools.
- Good analytical and problem-solving abilities with strong logical thinking.
- Basic knowledge of at least one scripting language, such as Python.
- Excellent written English skills.
- Currently pursuing or holding a bachelorโs degree or higher in a quantitative or technical field (e.g., Computer Science, Information Management Systems, Engineering, Statistics).
Preferred Qualificaition :
- Solid experience with Python, R, or Linux/Unix for processing large datasets and creating statistical models or machine learning.
- Familiarity with AWS services like S3, Redshift, and Apache Spark.
- Ability to manage multiple tasks and priorities in a fast-paced environment.
