Business Intelligence Engineer MENA Product Team

The Amazon MENA CX Product team is looking for an analytical and technically skilled business intelligence engineer to join our team. Our team turns disparate raw data into actionable insights that improve every customers ability to securely discover evaluate and purchase products and services across the Amazon store. We own the analytics for the customer shopping journey from Search Navigation Homepage Detail Page till Checkout and order placement. We are looking for a Business Intelligence Engineer to lead data analytics and drive critical product decisions for one of these verticals.

Were looking for a driven individual who loves working with BI tools and is able to perform multiple large complex and business critical analyses that will inform product design and business priorities. This is a role that partners with Product as an equal force not just as a data source. They need to be comfortable accessing and working with data from multiple sources automate business critical reports and partner with internal stakeholders to solve complex and broad business problems. They need to shape product design track experiment success and look out for defects to further unearth more workstreams for Product to pick up. The successful candidate will have a strong passion for data and analytics will be a selfstarter comfortable with ambiguity and with the ability to work in a fastpaced and everchanging environment.


Key job responsibilities
1. Interface/interact with business & finance customers gathering requirements and delivering complete BI solutions. Helps define the teams BI strategy.
2. Own the design development and maintenance of metrics reports dashboards etc. to drive key business decisions across multiple teams.
3. Continually improve ongoing reporting and processes automating scaling or simplifying selfservice support for customers.
4. Write high quality code to retrieve and analyze our large and complex data sets.
5. Identify patterns in our data and use these insights to make datadriven recommendations to drive topline growth and to improve profitability.
6. Develop an understanding of key business metrics / KPIs and providing clear compelling analysis that shapes the direction of our business.


A day in the life
BASIC QUALIFICATIONS
5 years of SQL experience
Experience in programming to extract transform and clean large (multiTB) data sets
Experience in the data/BI space
Experience working directly with business stakeholders to translate between data and business needs
Experience managing analyzing and communicating results to senior leadership

PREFERRED QUALIFICATIONS
Experience in scripting for automation (e.g. Python)
Experience with theory and practice of design of experiments and statistical analysis of results

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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