Business Analyst, S3P Data Engineering

Job summary
At Amazon, a large portion of our business is driven by third party Sellers who set their own prices. Are you interested in owning pricing analytics to support the growth and competitiveness of our third party Seller business on Amazon? We are looking for Business Analysts to help us support the WW Pricing team. The Pricing team is responsible for the metrics that define price competitiveness, quantify seller experience and customer price perception. We support all Amazon programs and geographies worldwide.

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.

CORE 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, Machine learning 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.

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.