ASSPL
Business Intelligence, Business Intel Engineer, Retail
BusinessIntelEngineerII,IESCFX&Prime
Neural analysis suggests this role is
optimal for Senior candidates.
“Business Intel Engineer II, IES CFX & Prime at ASSPL. Skills: Business Intelligence, Data Engineering, Data Analysis. Influence business decisions with data. Use data resources for analytical tasks”
Industry & Context.
Analytical skills; Quantitative skills
What They're Looking For.
Must Have
5+ years analyzing data, 3+ years data visualization, Bachelor's degree or equivalent, Experience with data modeling, Experience building ETL pipelines, Experience with R, SAS, or Matlab, Experience using SQL, Experience using Python scripting
Nice to Have
Master's degree or above, Advanced Microsoft Excel knowledge, Experience with AWS solutions, Experience in data mining, Experience developing new metrics
What You'll Do.
Influence business decisions with data
Use data resources for analytical tasks
Provide input on business actions
How You'll Work.
Team & Collaboration
Cross-functional teams; Diverse teams; Work across levels
Communication Scope
Verbal communication; Written communication
Full Job Description
The role of the IES CFX business is to provide ultrafast speeds (2 hour and same day scheduled) and reliable delivery for selection that customers need, providing best-in-class return experience while aiming for net zero defect costs, along with a taste of Prime. The business is highly cross-functional in nature, operations intensive and requires a number of India-first solutions to be created, which then need to be scaled to Emerging marketplaces. In this context, we are looking for a talented, driven and experienced Business Intelligence Engineer. It is a pivotal role that will contribute to the evolution and success of one of the fastest growing businesses in the company. Joining the Amazon team means partnering with a dynamic and creative group who set a high bar for innovation and success in a fast-paced and changing environment. The Business Intelligence Engineer is responsible for being able to influence critical business decisions using data and providing insight to category teams to be able to act. The successful candidate needs to have : A passion for numbers, data and challenges. High attention to detail and proven ability to manage multiple, competing priorities simultaneously. Excellent verbal and written communications skills. An ability to work in a fast-paced, complex environment where continuous innovation is desired. Bias for action and ownership. A history of teamwork and willingness to roll up one’s sleeves to get the job done. Ability to work with diverse teams and people across levels in an organization Proven analytical and quantitative skills (includes the ability to effectively use tools such as Excel and SQL) and an ability to use hard data and metrics to back up assumptions and justify business decisions. Key job responsibilities Key job responsibilities 1. Influence business decisions with data. 2. Use data resources to accomplished assigned analytical tasks relating to critical business metrics. 3. Monitor key metrics and escalate anomal
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