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Business Intel Engineer I, AOP

Amazon is hiring a Business Intel Engineer I, AOP in Hyderabad, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Redshift, Oracle and Nosql.
  • Level classifies it as a junior role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Business Intelligence Engineer defining analytical frameworks, building data pipelines, and analyzing metrics to improve operations.

RedshiftOracleNosqlTableauQuicksightMicrostrategyPowerbiPythonJavaRExcel
data-analysisbusiness-intelligencedata-modelingstatistical-analysisetl
Analytics Ops and Programs team in Hyderabad is looking for an innovative, hands-on and customer-obsessed Business Analyst. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. Amazon is an equal opportunity employer.

Basic qualifications

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)

Preferred qualifications

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis

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 Intel Engineer I, AOP at Amazon rates 0 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 IntelligenceData ModelingStatistical AnalysisETLRedshiftOracleNosql

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 data modeling was part of your work. What did you do?
  4. Tell me about a project where statistical analysis was part of your work. What did you do?
  5. Tell me about a project where etl was part of your work. What did you do?

Adapt your resume

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