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Business Intelligence Engineer II ROW AOP FC

Amazon MENA

Dubai

On-site

USD 50,000 - 80,000

Full time

3 days ago
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Job summary

A leading company in the region is looking for an analytical professional to translate complex data into actionable insights. This role requires strong skills in data sourcing, quality assurance, and collaboration across various teams to enhance business outcomes. Ideal candidates will be proficient in languages like SQL and Python, showcasing their expertise in data analysis.

Qualifications

  • Experience with BI tools and data modeling.
  • Proficient in SQL, Python, R, and Scala.
  • Strong analytical skills and attention to data quality.

Responsibilities

  • Translating business questions into analytical queries.
  • Ensuring data quality across all stages of processing.
  • Collaborating with multidisciplinary teams on data-driven decisions.

Skills

Data analysis
Data sourcing
Data quality assurance
SQL
Python
R
Scala

Job description

Job Description

Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools. Producing the required data when it is not available.

Creating global standard metrics across regions and performing benchmark analysis.

Ensuring data quality throughout all stages of acquisition and processing, including:

  1. Data sourcing
  2. Collection
  3. Ground truth generation
  4. Normalization
  5. Transformation
  6. Cross-lingual alignment
  7. Mapping

Communicating proposals and results in a clear manner, backed by data and coupled with actionable conclusions to drive business decisions.

Collaborating with colleagues from multidisciplinary backgrounds in science, engineering, and business.

Developing efficient data querying and modeling infrastructure.

Managing your own process: prioritizing and executing high-impact projects, triaging external requests, and ensuring timely delivery of projects.

Utilizing code such as SQL, Python, R, Scala, etc., for analyzing data and building statistical models.

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