The GFPA team is looking for a BIE to shape how we use data to support a wide range of strategic initiatives in the Last Mile space.
As a BIE on our team you will develop and lead new technical solutions influence business critical decisionmaking with massive scale and influence multiple organizations and geographies.
This BIE in particular will be working on a crossfunctional highly ambiguous problem space with the Cross Channel Marketing (XCM) team.
To be successful in this role youll need to be an excellent time project and customer manager great communicator and problem solver extraordinaire.
Youll work on complex initiatives that have never been solved before.
Excellent candidates will be able to work with a high degree of ambiguity and use data/analytic engineering to drive meaningful changes.
All candidates need barraising SQL abilities as the BIE will work with large amounts of nuanced data on fleet systems across a WW scope.
In this position you will:
Provide strategic advisory to business teams and leaders that liaise technical and business needs.
Engineer critical input and output metrics using excellent SQL/scripting
Create performance metrics to measure operational performance identify root causes and trends and prescribe action plans for delivery stations around the globe
Manage metrics across multiple projects simultaneously
Work with product technology and analytics teams to support the development of tools and dashboards
Communicate with and support various internal stakeholders and external audiences
Learn explore apply and gain expertise in many internal data and public AWS products including Glue Redshift Quicksight and Lambda
Basic qualifications
3 years of analysing and interpreting data with Redshift Oracle 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 Python
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred qualifications
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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