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Business Analyst ROW SHARP

Amazon

Dubai

On-site

USD 80,000 - 120,000

Full time

5 days ago
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Job summary

An innovative and customer-focused company is seeking a Business Intelligence Engineer to join their dynamic Supply Chain Analytics team. This role offers the opportunity to leverage your analytical skills and technical expertise to transform complex data into actionable insights. You will work closely with various teams to drive product development and enhance customer experiences. If you thrive in a fast-paced environment and are passionate about data-driven decision-making, this position provides a unique chance to make a significant impact in a leading organization. Join a culture that values inclusivity and empowers you to excel in your career.

Qualifications

  • 5+ years of experience in data analysis and interpretation.
  • Strong skills in SQL and Python for data processing.

Responsibilities

  • Transform data into actionable business intelligence.
  • Automate data extraction and build monitoring dashboards.

Skills

SQL
Python
Data Analysis
Data Visualization
Statistical Analysis
ETL Processes
Data Modeling
Data Warehousing

Education

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

Tools

Redshift
Oracle
NoSQL
Tableau
Quicksight
AWS (EC2, DynamoDB, S3, Redshift)

Job description

ROW Supply Chain Analytics team is looking for an innovative, hands-on, and customer-obsessed Business Intelligence Engineer. The 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
  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. Deep dive into outlier events with internal stakeholders, and solve business problems focusing on understanding root causes and identifying forward-looking opportunities.
  5. Provide complex analysis and insights to stakeholders and business leaders, both verbally and in writing.
  6. Facilitate effective decision-making by retrieving and aggregating data from multiple sources and presenting it in an understandable, actionable format.
  7. Be open to learning and developing skillsets in the latest technologies and analytical techniques.
Minimum qualifications
  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance, 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 pull data from databases or data warehouses, and scripting (Python) for data processing and modeling.
  • 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 using databases 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 or adjustments during the application and hiring process, including support for interviews or onboarding, please visit our support page for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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