Business Analyst II, MFN
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Job Location:
Yearly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Amazons Marketplace services over 2 million Sellers disrupting traditional notions of retail marketplace and connecting millions of businesses big and small to millions of Customers within the marketplace. The Marketplace business exceeds 50% of the total sales and each year tens of thousands of businesses join the marketplace adding millions of new products.
The Seller Fulfillment Services (SFS) team is seeking a experienced Business Analyst to own strong and complex analytics and to bring in comprehensive deep dives to help drive the growth of SFS Business.
The candidate should have expertise in designing and implementing scalable data warehouse infrastructure and build dynamic visualization platform for end-user consumption. Candidate should have solid knowledge in data engineering to develop efficiency DW pipelines given the scale of the dataset SFS is working with. Moreover the candidate should have ability in using advanced techniques for example scripting language and building statistical models to drive complex insights analysis.
Our ideal candidate thrives in a fast-paced environment enjoys the challenge of highly complex business scenarios and is passionate about data and analytics. To be successful in this role you will need to have excellent analytical data warehousing and communication skills.
Key job responsibilities
Interfacing with business customers gathering requirements and developing complex analytics model and data-sets for deep dive
Identifying the data quality issues across the various platforms at Amazon
Extracting and combining data from various heterogeneous data sources
Design and build data visualization tools to provide scalable solution for self-service metrics reporting
Partnering with other analysts and engineers to build analytical solutions to deliver on business goals
Propose and implement new business metrics for senior management reviews and work with the data engineer to design and develop data infrastructure to support these metrics for business growth
Build statistical models and ML based algorithms to perform insight analysis and help in decision making
- 3 years of tax finance or a related analytical field experience
- 5 years of Excel (including VBA pivot tables array functions power pivots etc.) and data visualization tools such as Tableau experience
- 3 years of business or financial analysis experience
- Bachelors degree or equivalent
- Experience with SQL
- Experience defining requirements and using data and metrics to draw business insights
- Experience with AWS services including S3 Redshift EMR and RDS
- Experience in scripting language including R Python and etc. Understand and have the knowledge to utilize various statistical models for insight analysis trend prediction and etc.
- Experience building ETL pipelines
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66900/year in our lowest geographic market up to $143100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
The Seller Fulfillment Services (SFS) team is seeking a experienced Business Analyst to own strong and complex analytics and to bring in comprehensive deep dives to help drive the growth of SFS Business.
The candidate should have expertise in designing and implementing scalable data warehouse infrastructure and build dynamic visualization platform for end-user consumption. Candidate should have solid knowledge in data engineering to develop efficiency DW pipelines given the scale of the dataset SFS is working with. Moreover the candidate should have ability in using advanced techniques for example scripting language and building statistical models to drive complex insights analysis.
Our ideal candidate thrives in a fast-paced environment enjoys the challenge of highly complex business scenarios and is passionate about data and analytics. To be successful in this role you will need to have excellent analytical data warehousing and communication skills.
Key job responsibilities
Interfacing with business customers gathering requirements and developing complex analytics model and data-sets for deep dive
Identifying the data quality issues across the various platforms at Amazon
Extracting and combining data from various heterogeneous data sources
Design and build data visualization tools to provide scalable solution for self-service metrics reporting
Partnering with other analysts and engineers to build analytical solutions to deliver on business goals
Propose and implement new business metrics for senior management reviews and work with the data engineer to design and develop data infrastructure to support these metrics for business growth
Build statistical models and ML based algorithms to perform insight analysis and help in decision making
- 3 years of tax finance or a related analytical field experience
- 5 years of Excel (including VBA pivot tables array functions power pivots etc.) and data visualization tools such as Tableau experience
- 3 years of business or financial analysis experience
- Bachelors degree or equivalent
- Experience with SQL
- Experience defining requirements and using data and metrics to draw business insights
- Experience with AWS services including S3 Redshift EMR and RDS
- Experience in scripting language including R Python and etc. Understand and have the knowledge to utilize various statistical models for insight analysis trend prediction and etc.
- Experience building ETL pipelines
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66900/year in our lowest geographic market up to $143100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
IC
Key Skills
- SQL
- Agile
- Business Analysis
- Visio
- Waterfall
- Business Process Modeling
- Requirements Gathering
- User Acceptance Testing
- Business requirements
- SDLC
- Systems Analysis
- Data Analysis Skills
About Company
AmaZone Cafe it is a very cosy place, focus on healthy food, where you can delight with your friends and family and try the best Acai, the famous brazillian fruit.
