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(2+ Years) "Amazon" Hiring: Business Analyst On Mar 2018 @ Hyderabad



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Company:         Amazon

Website:          www.amazon.com

Eligibility:       Bachelor’s Degree

Experience:      2+ yrs

Location:          Hyderabad

Job Role:         Business Analyst

JOB SUMMARY:

Company Profile:

There are many things to consider when deciding on your next employer. At Amazon, we offer employees the chance to work with great people on exciting projects with lots of opportunity for growth. We also provide a full range of benefits for you.

Job Description:
1. Understand the various operations across TRMS

2. Understand the requirements of stakeholders and map them with the data sources/data warehouse

3. Design and develop highly available dashboards and metrics using SQL and Tableau.

4. Provide wing-to-wing project lifecycle execution (project planning, execution, risk assessment and system availability)

5. Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers

6. Perform business analysis and data queries using SAS/R

7. Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)

8. Develop and oversee the initiation of strategy recommendations

9. Use statistical analysis to segment customer behavior and develop targeted solutions to prevent deposit and debit card fraud


Candidate Profile:
Qualification:
Bachelor’s Degree in any quantitative discipline such as Statistics, Mathematics, Quantitative Finance or Operational Research

Experience:
At least 2 years of experience working in Analytics / Business Intelligence environment

Required Skills:
1. Experience in working with databases and SQL in a business environment

2. Demonstrated use of analytical packages and query languages such as SAS,SPSS and SQL

3. Prior experience in design and execution of analytical projects

4. Worked extensively in large scale data bases and data warehouses

 

   












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