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Business Intelligence Engineer II, Customer Returns , Amazon

Amazon is hiring a Business Intelligence Engineer II, Customer Returns , Amazon in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Redshift, Oracle and Tableau.
  • Level classifies it as a mid-level role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Provide business intelligence and data insights for customer returns in emerging markets.

RedshiftOracleTableauQuicksightPythonAWS
data-analysisbusiness-intelligencestatistical-analysisetl
As a Business Intelligence Engineer II, you will be a core member of the Returns & CoBW team for India and Emerging Markets . You will serve as liaison between the Returns Business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, automation, dashboard creation and communication of insights and recommendations.

Key job responsibilities
- Analyze and visualize data to generate insights for business and report with recommendation.

- Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations.

- Develop and recommend metrics, dashboards that supports Business and Product growth.

- Drive insights for new product innovations

Drive automation of key business metrics

Basic qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred qualifications

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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 Intelligence Engineer II, Customer Returns , Amazon 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. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisBusiness IntelligenceStatistical AnalysisETLRedshiftOracleTableauQuicksight

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

Adapt your resume

  • List these exact terms on your resume: Data Analysis, Business Intelligence, Statistical Analysis, ETL, and Redshift. 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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