AmazonBIE, Customer Experience Strategy, CXBT Capability Team
Amazon is hiring a BIE, Customer Experience Strategy, CXBT Capability Team in Bengaluru, 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.
- The posting mentions SQL, PySpark and Redshift among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 21,000+ other open roles on Level.
AI in this role
Business Intelligence Engineer building data pipelines, ETL jobs, and SQL reports to improve customer experience at Amazon.
Key job responsibilities
- Build and maintain data pipelines, ETL jobs, and data models that result in improved Customer experience.
- Write and optimize SQL/PySPARK queries to produce weekly and monthly reports, translating raw data into actionable insights for regional leads and senior leadership.
- Collaborate with Product Managers, Program Managers, and peer Business Intelligence Engineers to align data definitions, standardize metrics.
- Investigate data anomalies, root-cause quality issues, and implement validation checks so that discrepancies are caught before they reach stakeholders.
- Maintain clear documentation of your data artifacts and analytical methodology, and identify opportunities to automate manual processes for improved pipeline reliability and reporting efficiency.
A day in the life
You will start your day checking pipeline health and dashboard accuracy for your assigned metrics, then move into writing or refining SQL queries that add new metrics or improve existing ones. You might spend part of the afternoon investigating a data discrepancy flagged by a regional lead, or meeting with a Product Manager to scope a new competitive analysis. Between tasks you will review a teammate's code, update your documentation, and brainstorm ways to automate a manual reporting step.
About the team
Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience globally. We are a team of builders that develop products, services, ideas and various ways of leveraging data to influence product and service offerings- for almost every business at Amazon-for every customer (e.g. Consumers, developers, sellers/brands, employees, investors, streamers, gamers.)
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.
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How we rate this
BIE, Customer Experience Strategy, CXBT Capability Team 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Questions you could be asked
- What's a project where you used SQL hands-on?
- Walk me through how you've used PySpark in your day-to-day work.
- What are the limits of Redshift that you've run into, and how did you work around them?
- What's a project where you used Oracle hands-on?
- Walk me through how you've used Nosql in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: SQL, PySpark, Redshift, Oracle, and Nosql. 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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