Business Intelligence Engineer, Seller Growth Opportunities
Found in: Talent US C2 - 2 weeks ago
The SG&D team is looking for an experienced BIE to join our organization who will work on unlocking compelling insights at the behest of sellers to improve their profitability in Amazon. The ideal candidate will be skilled at advanced SQL, data visualization and working knowledge on ML algorithms. This role requires an individual with excellent analytical abilities, as well as outstanding business acumen. The ideal candidate is curious and seeks out data to understand the business use cases and impact on SPS organization. They challenge assumptions and turn conjecture and anecdotes into data-supported facts.
Responsibilities:
- Work with BIEs, DEs, PMTs, PMs, SDEs and leadership to identify and acquire datasets of interest.
- Develop relevant and defensible metrics and KPIs that drive and track business strategy.
- Define and develop data pipelines, ML models, dashboards and visualization for key metrics and KPIs.
- Develop mechanisms for the team to come up with new ideas for seller recommendations, prototype and launch them.
We are open to hiring candidates to work out of one of the following locations:
New York, NY, USA | Seattle, WA, USA
BASIC QUALIFICATIONS
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Bachelor's degree in math/statistics/engineering or other equivalent quantitative discipline
- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)
- Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)
- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
PREFERRED QUALIFICATIONS
- Master's degree in math/statistics/engineering or other equivalent quantitative discipline- Experience with scripting language (e.g., Python, Java, or R)
- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)
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