DESCRIPTION

Job summary
Amazon.com operates in a virtual, global e-commerce environment without boundaries, and operates a diverse set of businesses worldwide, including Retail, third party marketplaces, e-commerce platforms, web services for developers. Amazon’s global price perception is how the population perceives Amazon’s pricing compared to other retailers. Elements that make up customer price perception include the perceived; (1) competitiveness of the retailers pricing (i.e. who has the perceived lowest prices), (2) clarity of price information on the site, (3) the price vs quality of the products offered (i.e. the value), (4) the price the customer expects to pay for the product at a given retailer, and (5) how Amazon messages pricing in press and advertising.
The Price Perception team is responsible for the metrics and programs that define customer price perception today. The team is responsible for driving new initiatives to deepen our understanding and measurement of price perception, as well as delivering projects that will improve Amazon’s price perception overtime. We protect Amazon Customers and influence projects to improve price perception and price satisfaction.
Opportunity:
Do you want to be part of the team that ensures Amazon keeps its “best price” promise across millions of products worldwide? Does the challenge of driving decisions in a dynamic environment excite you? Do you love solving complex business problems using technology? Are you seeking an environment where you can drive innovation? Are you a passionate self-starter? If the answer to the above questions is a resounding “YES”, read on!

The ideal candidate is a motivated self-starter that can work in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazon’s varied pricing programs and processes.

Amazon is one of the world’s most trusted companies. Help us keep it that way.

Key job responsibilities
1. Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support analytical and business needs of our customers.
2. Diving deep to fully understand the ETL pipelines, report architecture and metric definitions, Debugging report issues and unblocking workflows.
3. Engage with leadership and diversified stakeholder groups to understand their analytical needs and recommend Business intelligence solutions.
4. Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc. to drive key business decisions
5. Standardize data and report consumption across all customer groups
. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
6. Work with data engineering and software development teams to enable the appropriate capture and storage of key data points

7. Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.
8. Develop the Machine Learning solution to solve business problems

BASIC QUALIFICATIONS

3+ years relevant experience in financial/business analysis
Experience defining requirements and using data and metrics to draw business insights
Experience making business recommendations and influencing stakeholders
Experience with SQL
Experience in Excel

1) Bachelor’s degree in a quantitative field or equivalent experience
2) 4+ years of relevant work experience in business intelligence, analytics, statistics, data engineering, data science or related field
3) Advanced proficiency in SQL, ETL management, data modelling, and working with “Big Data”
4) Experience with data visualisation using Tableau, Power BI, or similar tools
5) Experience with statistical modelling and analysing large data sets
6) Strong critical thinking skills and attention to detail
7) Both technically deep and business savvy enough to interface with all levels and disciplines within the organisation.

PREFERRED QUALIFICATIONS

· MBA or Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field
· Extensive experience in a data engineer or BIE role with a technology company.
. Experience working in very large data warehouse environments
· Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
· Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) · Experience with statistical modelling / machine learning.