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BIE I , FCGT

Amazon is hiring a BIE I , FCGT in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Amazon has 20,000+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Amazon's Fulfillment Channels BI team is seeking a talented, self-driven and experienced Business Intelligence Engineer to lead its advanced analytics wing for the India Self Ship business. This pivotal role gives you the opportunity to work with an exceptionally innovative team, slice and dice multi-dimensional, high-depth data mines, and build complex data models that drive data-driven insights for high-impact decisions spanning seller experience, customer delivery experience, and Self Ship Product/Program initiatives.

Are you customer obsessed, flexible, smart and analytical, strategic yet execution-focused, and passionate about e-commerce logistics? Are you an experienced, entrepreneurial leader with a strong work ethic? If yes, this opportunity will appeal to you.

To be successful in this role, you will roll up your sleeves, innovate, and quickly become a subject matter expert on Self Ship performance across sellers, carriers, and market segments in India. You will be a self-starter, comfortable with ambiguity and large data sets spanning orders, shipments, GMS, C2P (Click to Pick), C2D (Click to Delivery), and delivery experience (DEA) metrics. You will be part of the Central Analytics team, working closely with Stakeholders, Data Engineers, Business Intelligence Engineers, and Business Analysts to drive the Self Ship charter forward. Strong communication skills are essential, as you will translate data-driven findings into actionable insights for Product and Program leadership.

You will have demonstrated proficiency in SQL across a variety of databases (e.g., Athena/Presto), BI tools, and R or Python to analyze large data sets.

Key job responsibilities
Passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets and exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.
Detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion.
Excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions

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)
- Bachelor's degree

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 I , FCGT at Amazon rates 16 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.

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