Business Analyst, C-Ops Data Analytics and Technology

DESCRIPTION

Job summary

Amazon strives to be Earth’s most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want – low prices, vast selection, and convenience – Amazon continues to grow and evolve as a world-class e-commerce platform.

As a Business Analyst, you will be responsible for discovering insights and identifying opportunities through the use of business intelligence, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences.

Key job responsibilities
As a Business Analyst, you will use analytics and data mining techniques to solve complex problems and drive business decisions. You will solve analytical problems, and effectively communicate methodologies and results. You will create dashboards and reports to identify trends, and anomalies. You will work closely with internal stakeholders such as business/program management teams, engineering teams, and partner teams and align them with respect to your focus area.

BASIC QUALIFICATIONS

2+years of experience in business analysis

Experience with SQL or ETL

Experience defining requirements and using data and metrics to draw business insights

Bachelor’s Degree in any quantitative discipline such as Information Systems, Computer Science, Statistics, Operational Research or Engineering

Experience in querying and manipulating data via SQL

Proficiency in verbal & written communication

Experience in using Business Intelligence Tools such as Tableau, Quicksight

PREFERRED QUALIFICATIONS

Exposure to scripting languages (Python/ R)

Exposure to problem solving using statistical techniques (Linear regression, Logistic regression, Clustering algorithms)