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Business Intelligence Engineer ROW SHARP

Amazon

Dubai

On-site

AED 120,000 - 180,000

Full time

26 days ago

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Job summary

A leading company is seeking a Business Intelligence Engineer to join their Supply Chain Analytics team in Dubai. The role involves transforming data into actionable insights, automating data processes, and collaborating with various teams to enhance customer experiences. Candidates should possess a Bachelor's degree and at least 5 years of experience in data analysis and visualization tools. This position offers the opportunity to work in a fast-paced environment, driving innovation and strategic decisions.

Qualifications

  • 5 years of experience analyzing and interpreting data.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • Strong skills in SQL and data visualization tools.

Responsibilities

  • Transform data into digestible business intelligence.
  • Write high-quality SQL code to analyze data.
  • Automate data extraction and build monitoring dashboards.

Skills

Business Intelligence
SQL
Data Visualization
Data Analysis Skills

Education

Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics

Tools

Redshift
Oracle
NoSQL
Tableau
Quicksight
Python

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, possess superior verbal and written communication skills, have strong organizational skills, excellent technical skills, and 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, including 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 effectively in a matrix organization, and capable of breaking complex problems into steps that drive product development at Amazon's speed.

Key job responsibilities

  1. Transform data into digestible business intelligence and actionable information.
  2. Write high-quality SQL code to retrieve and analyze data.
  3. Automate data extraction and build monitoring/reporting dashboards with large data sets.
  4. Collaborate with internal stakeholders to deep dive into outlier events.
  5. Solve business problems focusing on understanding root causes and identifying forward-looking opportunities.
  6. Provide complex analysis and insights to stakeholders and business leaders, both verbally and in writing.
  7. Enable effective decision-making by retrieving and aggregating data from multiple sources into a digestible, actionable format.
  8. Be open to learning and developing skills in the latest technologies and analytical techniques.

Minimum qualifications

  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, or a related quantitative field.
  • At least 5 years of experience analyzing and interpreting data with tools like Redshift, Oracle, NoSQL, etc.
  • Experience using SQL to extract data from databases or data warehouses and scripting (Python) for data processing.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • Experience with data visualization tools such as Tableau, Quicksight, or similar.
  • Experience with forecasting and statistical analysis.
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
  • Experience in data mining, ETL processes, and working with large, complex datasets in a business environment.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need workplace accommodations during the application, hiring, interview, or onboarding process, please visit for more information. If your country or region isn't listed, please contact your Recruiting Partner.

Key Skills

Business Intelligence, Cognos, SQL, Power BI, QlikView, Data Visualization, SSRS, Tableau, SSIS, Data Modeling, Data Warehouse, Data Analysis Skills

Employment Type : Full-Time

Experience: 5 years

Vacancy: 1

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