Business Analyst - Data Products

Business Analyst, INPAY Data Products Team, Data Products Amazon Pay

As a Business Analyst in Amazon Payments, you will be working in one of the most most complex data ecosystem.
An ideal candidate should have deep expertise in design, creation, management, and business use of extremely large datasets.
Strong fundamentals in SQL , python and optimization techniques.
You should have excellent communication skills to be able to work independently with our Tech, BI and Business partners to develop and answer the key business questions.
You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing data as a service solutions.
You should be able to think beyond the current environment and automate the workflows wherever needed.
Preferred:
Knows and keen to imeplement AI solutions.

Key job responsibilities
- Understand Business Requirements (Internal and Business Stake Holders)
- Churn out design and implementation steps from
the business requirements.
- Design Data models for Facts & Dimensions
Implementation of ETL
- Ownership of datamarts / Enhancements

A day in the life
- Work in a highly dynamic environment
- Monitor existing ETLs
- Work on multile new requirements in parallel

About the team
We building the Data Platform from scratch that enables -
1. Single Source of truth that abstracts all data nuances.
2. Enable Self Serve (via Aggregation & Dashboarding)
3. Power Advanced Analytics projects
4. Provide meaningful and implementable insights to Business.
5. Learn and implement Gen AI solutions.

Basic Qualifications

- 1+ years of data analytics or automation experience
- 1+ years of business analysis (dealing with large complex data) experience
- Bachelor's degree
- Experience with data mining tools like SQL, SAS, SPSS, or similar
- Knowledge of data pipelining and extraction using SQL
- Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions

Preferred Qualifications

- Speak, write, and read fluently in English

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Experience Level

Entry Level