Business Intelligence Engineer II, Amazon Sub Same Day

Business Intelligence Engineer II, Amazon Sub Same Day

The role of the Sub Same Day business is to provide ultrafast speeds (2 hour and same day scheduled) and reliable delivery for selection that customers fast. Customers find their daily essentials and a curated selection of Amazon's top-selling items with sub same day promises. The program is highly cross-functional in nature, operations intensive and requires a number of India-first solutions to be created, which then need to be scaled WW.

In this context, SSD is looking for a talented, driven and experienced Business Analyst It is a pivotal role that will contribute to the evolution and success of one of the fastest growing businesses in the company.

Joining the Amazon team means partnering with a dynamic and creative group who set a high bar for innovation and success in a fast-paced and changing environment. The Business Analyst is responsible for being able to influence critical business decisions using data and providing insight to category teams to be able to act.

The successful candidate needs to have :
- A passion for numbers, data and challenges.
- High attention to detail and proven ability to manage multiple, competing priorities simultaneously.
- Excellent verbal and written communications skills.
- An ability to work in a fast-paced, complex environment where continuous innovation is desired.
- Bias for action and ownership.
- A history of teamwork and willingness to roll up one's sleeves to get the job done.
- Ability to work with diverse teams and people across levels in an organization
- Proven analytical and quantitative skills (includes the ability to effectively use tools such as Excel and SQL) and an ability to use hard data and metrics to back up assumptions and justify business decisions.

Key job responsibilities
Key Responsibilities
- Influence business decisions with data.
- Use data resources to accomplished assigned analytical tasks relating to critical business metrics.
- Monitor key metrics and escalate anomalies as needed
- Provide input on suggested business actions based on analytical findings.

BASIC QUALIFICATIONS

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- 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 in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

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