Level

Amazon

Business Analyst, Amazon Pay, Data Products

Amazon is hiring a Business Analyst, Amazon Pay, Data Products in Bengaluru, India. Level rates it ; you can apply on Level.

AI in this role

Build scalable datamarts, automated dashboards, and ETL pipelines to support Amazon Pay business operations.

sqlredshift
data-analysisetldatamart-buildingbusiness-intelligence
About Amazon: As one of the largest e-commerce companies in the world, Amazon Payments processes billions of secure on-line transactions via a number of payment mechanisms, including credit cards, convenience store payment, netbanking, digital cash, cash on delivery and electronic gift certificates. Transactions are processed on behalf of thousands of merchants, including Amazon.in. Amazon is known across the globe as the most trusted company on the Internet. We are committed to delivering an exceptional customer experience. Payments owns and maintains the software platform which processes 20+ payment methods worldwide. The Business Operations team owns the Process and Policy definition, policy implementation and roll out as well as process monitoring and automation. This team defines policies which are adhered to be internal clients like such as Product/Business, Customer Service, Finance, Accounting, Compliance, and Fraud as well as third party partners and banks relied upon to process payments.

About the role: Working in a dynamic environment, you will be responsible for automating dashboards, monitoring key success metrics, managing WBR reports, identifying problem areas and business challenges and collaboratively shaping solutions with Amazon Pay teams to help optimize on the platform. The successful candidate has a passion for extracting actionable insights from data. The candidate needs to innovate, and quickly become a subject matter expert to assess business performance across different Amazon Pay areas. The candidate should have significant experience working with automation, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner using data across various data marts, and align focus on Amazon’s strategic needs. The candidate should be proficient in SQL writing and code optimisation.



Key job responsibilities
Key Responsibilities:
• As part of Data platform team you will be responsible for building scalable datamart using redshift SQL to support business reporting.
• Partner with the business team to understand Amazon Pay ecosystem, Key Performance Indicators and new methodologies for measurement.
• Working backwards from business requirements, and create ETL flows to support their data requirement.
• You will perform complex data analysis, root cause deep dives, and optimisations to identify different


Basic qualifications

- Bachelor's degree
- Knowledge of data pipelining and extraction using SQL
- Knowledge of SQL and Excel at a moderate or advanced level
- 1+ years of data analytics or automation experience
- Experience with data mining tools like SQL, SAS, SPSS, or similar

Preferred qualifications

- Bachelor's degree in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Business Analyst, Amazon Pay, Data Products at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisETLDatamart BuildingBusiness IntelligenceSQLRedshift

Also common in business analyst jobs at this level

Pay

Typical business analyst job
$102k

This posting doesn't list pay. Use the typical business analyst figure when pay comes up. See business analyst jobs

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where etl was part of your work. What did you do?
  3. Tell me about a project where datamart building was part of your work. What did you do?
  4. Tell me about a project where business intelligence was part of your work. What did you do?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Analysis, ETL, Datamart Building, Business Intelligence, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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