Do you have a passion for data and a talent for drawing useful conclusions from large, complicated datasets?
The EasyShip team at Amazon, located in Bengaluru, India, is seeking a skilled and motivated Data Analyst to join one of the divisions that is expanding the quickest inside the organization.
This crucial position presents a stimulating chance to influence the direction of Amazon’s international trade programs, supporting small and medium-sized sellers as well as major corporations in their success on the Amazon marketplace.
Dive into Global Trade with Amazon
A strategic project, Amazon Global Trade aims to increase the global reach of Amazon Marketplace vendors.
In order to enable global sellers aiming to reach Indian consumers, the India team helps Indian vendors sell cross-border to buyers in other countries.
Working in a dynamic and fast-paced atmosphere, you will have a direct impact on the success of Amazon’s seller community as a member of the EasyShip team.
The Role of a Data Analyst at Amazon EasyShip
Job Description
In the EasyShip software, you function as a kind of detective who sifts through the data to find patterns, identify problems, and suggest workable fixes. A closer look at the duties is provided below:
Key Responsibilities: Data Analyst in EasyShip
Understanding Amazon Seller Services:
- Learn about the different goods and services that Amazon Seller Services provides.
- Monitor and report on company performance, and use the right measures to pinpoint issue areas.
Cross-Functional Collaboration:
- To address problems that salespeople encounter, collaborate closely with the account management and program management teams.
- Work together to establish goals centered on important operational KPIs and make sure they are in line with corporate goals.
Problem Solving and Validation:
- Make use of Amazon’s resources to identify issues and verify fixes.
- Develop and put into practice fresh tactics to maximize platform seller performance.
Data-Driven Recommendations:
- Make practical business suggestions based on analytical results.
- Create fresh measures, methods, and approaches to improve seller success.
Skills and Qualifications
You will require a strong combination of analytical abilities, problem-solving passion, and technical capabilities to succeed in this profession.
Amazon is seeking applicants who fulfill the following requirements:
Basic Qualifications:
Experience: A minimum of one year plus in automation or data analytics.
Education: A bachelor’s degree in an area that is pertinent.
Technical Skills: Moderate to advanced knowledge of Excel and SQL, as well as proficiency with data pipelining and extraction using SQL.
Analytical Tools: Proficiency with data mining tools such as SAS, SQL, SPSS, or comparable programs.
Preferred Qualifications:
Advanced Technical Skills: Proficiency in SQL, Python, and R for data analysis and programming.
Analytical operations: Proficiency with MS Excel or related software for table joins and aggregate analytical operations.
Why Join Amazon EasyShip?
There are many attractive advantages to joining the EasyShip team at Amazon as a data analyst, including:
- Significant Work: Thousands of Amazon platform sellers’ growth and optimization plans will be directly impacted by your study and insights.
- Dynamic Environment: Work in a creative, fast-paced setting where you can always learn new things and advance your career.
- Global Reach: Be a part of a team that drives Amazon’s international trade initiatives, which affect merchants and consumers everywhere.
- Professional Development: Amazon is renowned for its dedication to the advancement and development of its workforce. There are many opportunities in this profession to grow your career and improve your abilities.
- Collaborative Culture: Assist a varied group of experts who are enthusiastic about resolving challenging company issues.
Impact on Amazon’s Marketplace
Amazon’s marketplace benefits greatly from the contributions of data analysts in the EasyShip program in a number of ways:
- Improving the Performance of Sellers
Data analysts assist sellers in streamlining their processes and enhancing their overall success on the platform by offering actionable information. - Increasing Client Contentment
Better customer experiences are a direct result of improved shipping procedures, and Amazon’s development and reputation depend on them. - Supporting the Expansion of Amazon
Every suggestion and plan made by data analysts can assist Amazon in increasing market share, cutting expenses, and streamlining operations.
Apply Here: Data Analysts at Amazon EasyShip
- Job Designation:Data Analysts
- Qualification: B-Tech
- Experience: 0 to 1+ Years
- Organization Name: Amazon
- Website: Amazon India
- Industry: Information Technology
- Locations: Bengaluru
- Mode: Offline
Benefits of Working at Amazon’s EasyShip
Access to Cutting-Edge Technology
Leading the way in technical innovation is Amazon. You get to deal with some of the most cutting-edge equipment and software in the business as a data analyst.
You’re always working with the best in class, whether it’s proprietary Amazon tools, machine learning algorithms, or big data technology.
Diverse and Dynamic Work Environment
Because of Amazon’s global presence, you will engage with a wide range of individuals and projects. Your work will never become boring because of the company’s dynamic nature.
The work is fascinating and rewarding since every day offers fresh possibilities and challenges.
Significant Career Growth Opportunities
Amazon is committed to internal development and progress. There are several opportunities for advancement as a data analyst, including specializing in a particular field, assuming leadership positions, or investigating other departments within the organization.
The knowledge and experience you acquire here can further your career in a variety of ways.
The Application Process:
Interested in joining Amazon EasyShip as a Data Analyst? Here’s a quick guide to the application process:
1. Get your resume ready:
Emphasize your background in automation or data analytics.
Stress your technical proficiency with Excel, SQL, and any data mining tools.
If you have any experience with R or Python, mention it.
2. Go to the Careers Page at Amazon:
Go to the Jobs page at Amazon.
Look for the EasyShip team’s “Data Analyst” post in Bengaluru, Karnataka.
3. Send in your application:
follow apply online, adhere follow the directions.
Upload your resume along with any other necessary files.
Finish any extra tests or questions that are asked during the application process.
4. Get Ready for Interviews: Should you be chosen, be prepared for several rounds of interviews that will center on your technical proficiency, problem-solving aptitude, and cultural fit.
Refresh your knowledge of SQL, data analysis methods, and Amazon’s guiding values.
Conclusion:
Being a part of a team that is shaping the direction of international trade is a special opportunity that comes with working as a data analyst for Amazon EasyShip.
With your passion for solving problems and your proficiency in data analysis, you can support sellers globally and ensure that Amazon stays at the forefront of e-commerce innovation.
Amazon is prepared to welcome you to their Bengaluru team if you are prepared to take on this task.
Enroll in Amazon EasyShip right now to take part in a global movement that is changing how people sell and shop online.
Frequently Asked Questions (FAQs)
1. What is the EasyShip program?
EasyShip is an Amazon logistics service designed to make shipping easier for sellers by handling all aspects of shipment from start to finish.
2. What are the primary tools used by Data Analysts at Amazon?
Tools including SQL, Excel, SAS, SPSS, and Amazon’s proprietary software are frequently used by data analysts at Amazon.
3. What qualifications are needed to become a Data Analyst at Amazon?
Usually, you need at least a year of experience in automation or data analytics, along with a bachelor’s degree in a relevant discipline.
It’s imperative to have knowledge of data mining tools and to be proficient with SQL and Excel.
Proficiency in programming languages such as R or Python is highly regarded.
4. What are the growth opportunities for Data Analysts at Amazon?
Data analysts at Amazon have a lot of room to expand. They can explore various jobs within the organization, grow into leadership positions, or focus on certain areas of expertise.
Amazon offers several opportunities for advancement and encourages lifelong learning and career development.
