Business Intelligence Engineer II, ROW SHARP

Amazon; Dubai; On-site; AED 320,000 - 520,000; Full time

Job summary

Amazon in Dubai is seeking an innovative Business Intelligence Engineer who is hands-on, customer-obsessed, and excels at turning data into actionable insights. You will partner with product, program and tech teams to deliver analytical solutions at speed and scale.

The role requires strong SQL and Python skills, experience with data warehousing, ETL, and visualizing outcomes with Tableau or QuickSight. You will tackle complex problems, forecast trends, and help shape business decisions across

Qualifications

• Bachelor's degree in BI, finance, engineering, statistics, CS, math or equivalent quantitative field.
• 5 years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• SQL and Python scripting to process data for modeling.
• Data warehousing, warehousing and building ETL pipelines.
• Data visualization using Tableau or Quicksight.
• Forecasting and statistical analysis.
• Experience with AWS: EC2, DynamoDB, S3, Redshift.
• Experience with large-scale complex datasets in a business environment.

Responsibilities

• Turn data into digestible business intelligence and actionable information.
• Write high quality SQL codes to retrieve and analyze data.
• Automate data extraction and build monitoring/reporting dashboards with large data sets.
• Deep-dive outlier events with internal stakeholders.
• Solve business problems by understanding root causes and driving opportunities.
• Provide complex analysis and insights to stakeholders and leaders, verbally and in writing.
• Retrieve and aggregate data from multiple sources and present it in a digestible format.
• Be open to learning and developing skills in latest analytic techniques.

Skills

SQL

Python

Data visualization

Data modeling

ETL pipelines

Analytical thinking

Communication skills

Education

Bachelor’s degree in a quantitative field

Tools

Tableau

Quicksight

AWS

Redshift

DynamoDB

S3

EC2

Job description

ROW Supply Chain Analytics team is looking for an innovative hands‑on and customer-obsessed 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 fast-moving 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 deep-dive outlier events
• and solve business problems with focus on understanding root causes and driving forward-looking 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

Required Experience

• 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 large-scale complex datasets

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IC