Business Intelligence Engineer, Delivery Experience

Amazon; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A global technology leader in Dubai is seeking a Business Intelligence Engineer to enhance customer experience through data-driven insights. The role involves analyzing business data, developing metrics, and collaborating with stakeholders to uncover opportunities. Ideal candidates should possess strong analytical skills, expertise in data analysis tools like Redshift and SQL, and have project management experience. Join a dynamic team focused on improving customer satisfaction in the MENA region.

Qualifications

• 3+ years of experience analyzing and interpreting data.
• Expertise in data visualization tools like Tableau or Quicksight.
• Experience in building ETL pipelines and data warehousing.
• Proficient in SQL for data extraction.
• Familiarity with statistical analysis packages such as R or SAS.

Responsibilities

• Analyze business problems and identify root causes.
• Develop customer insights using data mining techniques.
• Manage projects from start to finish, including communication of insights.
• Perform market segment analysis for strategic insights.
• Facilitate business performance reporting and team reviews.

Skills

Data analysis

Data visualization

Data modeling

SQL

Statistical analysis

Project management

Communication

Tools

Redshift

Tableau

AWS (EC2, S3)

Python

Job description

Are you obsessed about customers, passionate about working with data and eager to make broad business impact? Do you thrive in a fastpaced environment and enjoy transforming data into actionable recommendations to delight our customers?

The Delivery Experience Team is looking for a Business Intelligence Engineer who will play a critical role in shaping and executing DEX initiatives within the MENA region.

The BIE will be responsible for developing business metrics, mining data to uncover consumer insights and business opportunities, and collaborating with internal stakeholders to drive the business. The ideal candidate will be highly analytical with proven experience in delivering results.

The BIE will be detail-oriented and possess expertise in both qualitative and quantitative analysis with a passion for delivering actionable insights to key stakeholders. The right candidate will blend advanced reporting with strong critical thinking and project management skills. Your success in the role will have a large impact on improving customer experience in MENA.

The successful candidate will communicate effectively across teams and levels while balancing the needs and requirements of internal stakeholders. They will be relentlessly focused on improving the customer experience. Flexibility and the ability to prioritize in a changing business environment will also be key. We seek an individual who is motivated by a fastpaced and highly entrepreneurial environment.

Key job responsibilities

• Analyze and solve business problems at their root, stepping back to understand the broader context.
• Use data mining, model building and other analytical techniques to develop customer insights and business opportunities.
• Manage and execute entire projects from start to finish including project management, data gathering, manipulation, synthesis and modeling, problem solving and communication of insights and recommendations.
• Drive development of quantitative models necessary for evaluation and implementation of new strategies with business stakeholders.
• Perform market segment analysis to identify new trends and opportunities necessary to inform strategic planning.
• Drive business performance reporting and facilitate team reviews weekly, monthly and quarterly.

Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• Experience with data visualization using Tableau, Quicksight or similar tools.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience in statistical analysis packages such as R, SAS and MATLAB.
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
• 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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