Are you ready to embark on a thrilling journey in the realm of grocery ecommerce Were on the lookout for a team member to work on our latest initiative operating at the forefront of innovation in a dynamic fastpaced environment. This role demands the agility to navigate analytics landscape across multiple functions seamlessly the resilience to thrive in a fast paced environment excitement to handle challenges headon and excellence in analytical abilities.
As a Business Intelligence Engineer youll be deciphering our customers everevolving needs and shaping solutions that elevate their experience with Amazon.
Were seeking someone who thrives on ambiguity harnessing their firstprinciple problemsolving skills to drive impactful outcomes. Your ability to cultivate a customercentric mindset coupled with a penchant for outofthebox thinking will be instrumental in navigating the complex landscape of our initiative.
A successful candidate will possess:
Extraordinary Business Intelligence Engineer skills
Impeccable attention to detail adept at juggling multiple projects and priorities with finesse.
A knack for thriving in a fastpaced innovationdriven environment where adaptability is key.
Strong analytical and quantitative skills leveraging data and metrics to inform strategic decisions.
Clear and compelling communication skills capable of articulating data insights to diverse stakeholders.
If youre ready to challenge the status quo lead with innovation and leave an indelible mark on the future of ecommerce then we want to hear from you!
Key job responsibilities
Deliver on all analytics requirements across business areas required for launch of the new initiative
Own the design development and maintenance of ongoing metrics reports analyses dashboards etc. to drive key business decisions.
Ensure data accuracy by validating data for new and existing tools.
Apply data mining and quantitative analysis to understand ways to improve our content selection for customers
Perform both adhoc and strategic data analyses
Build various data visualizations to tell the story and let the data speak for itself
Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation
Build automation to reduce dependencies on manual data pulls etc.
3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualization using Tableau Quicksight or similar tools
Experience with data modeling warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
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