Offers “Amazon”

Expires soon Amazon

Sr. Business Analyst

  • Seattle (King County)
  • IT development

Job description

DESCRIPTION

Do you want to join a team that is revolutionizing how customers shop online for clothing and shoes?

The Prime Wardrobe team is seeking a Principal BIE to join our fast-paced, innovative, and fun team to help us make history. Our ideal teammate possesses a natural curiosity, sharp analytical skills and is excited to pioneer on behalf of customers in this burgeoning try-before-you-buy space. He/she will be independent, forward-thinking and be comfortable identifying trends and helping us turn those discoveries into delightful customer experiences. In this role, you will have the ability to manage a fast-growing data platform, work with large complex data sets with immediate application to new business opportunities, and bring new technologies and learning models to accelerate decision-making across our team.

Key Responsibilities Include:
· Partner with development, product management, and user experience teams to understand and scale our data analytics platform.
· Create long-view research roadmaps that impact product development using a variety of appropriate techniques.
· Invent mechanisms to generate ongoing, regular insights to inform product development.
· Develop metrics that appropriately reflect our user experience and accurately measure impact.
· Work cross-functionally with design, product management, engineering, and marketing to communicate results and recommendations, and advocate on behalf of our customers.
· Report on existing key business metrics, ensuring clear understanding of progress to all goals.

Desired profile

BASIC QUALIFICATIONS

Basic Qualifications:
· BA/BS degree in Engineering, Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or related field
· Proven track record of leading business analysis and research
· Advanced knowledge of SQL and ETL jobs
· Advanced understanding and experience working with data warehousing, data quality

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