Business Intelligence Engineer ROW SHARP

Amazon; Dubai; On-site; AED 250,000 - 450,000; Full time

Job summary

Amazon is seeking a hands-on, customer-obsessed Business Intelligence Engineer for the ROW Supply Chain Analytics team in Dubai. You will transform data into actionable insights, write robust SQL, and automate data extraction to support dashboards and decision making.

Bring 5+ years of experience with Redshift/Oracle/NoSQL, Python, ETL, and data visualization tools like Tableau or Quicksight. Strong communication and collaboration across product, program, and tech teams are essential.

Qualifications

• Bachelor's degree in BI, finance, engineering, CS, math, finance or equivalent.
• 5+ years analyzing and interpreting data with Redshift, Oracle, NoSQL or similar.
• Experience using SQL and Python for data processing and modeling.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with Tableau or Quicksight for data visualization.
• Experience with AWS services (EC2, DynamoDB, S3, Redshift).
• Experience mining data in large, complex datasets.

Responsibilities

• Turn data into actionable business intelligence and information.
• Develop high-quality SQL to retrieve and analyze data.
• Automate data extraction and build dashboards to monitor metrics.
• Collaborate with stakeholders to investigate outlier events and root causes.
• Deliver insights to leaders with clear written and verbal communication.
• Learn and apply new technologies and analytical techniques.

Skills

Data analysis

SQL

Python

Data visualization

AWS

ETL/data pipelines

Forecasting

SQL tuning

Education

Bachelor's degree in BI/finance/engineering/computer science/mathematics/quantitative field

Tools

Tableau

Quicksight

Redshift

Oracle

(NoSQL)

Job description

ROW Supply Chain Analytics team is looking for an innovative handson and customerobsessed Business Intelligence Engineer . Candidate must be detail oriented have superior verbal and written communication skills strong organizational skills excellent technical skills and should be able to juggle multiple tasks at once.

The BIE will bring innovation a strategic perspective a passionate voice and an ability to prioritize and execute on a fastmoving set of priorities competitive pressures and operational initiatives. You will partner closely with program product and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical able to work extremely effectively in a matrix organization and have the ability to break complex problems down into steps that drive product development at Amazon speed.

Key job responsibilities

• data into digestible business intelligence and actionable information
• high quality SQL codes to retrieve and analyze data.
• with large data sets automate data extraction and build monitoring/reporting dashboard
• with internal stakeholders to deepdive outlier events
• and solve business problems with focus on understanding root causes and driving forwardlooking opportunities
• complex analysis and insights to our stakeholders and business leaders both verbally and in writing.
• effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
• be open to learn and develop skillsets in the latest technologies and analytical techniques

• Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
• 5 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Experience with data modeling warehousing and building ETL pipelines
• Experience with data visualization using Tableau Quicksight or similar tools
• Experience with forecasting and statistical analysis
• 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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