Are you obsessed with customers, passionate about working with data, and eager to make a broad business impact? Do you thrive in a fast-paced environment and enjoy transforming data into actionable recommendations to delight our customers? The Delivery Experience team is looking for a Business Intelligence Engineer (BIE) who will play a critical role in shaping and executing DEX initiatives within the MENA region.
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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.
Your success in this role will have a large impact on improving customer experience in MENA. The successful candidate will communicate effectively across teams and levels, balancing the needs and requirements of internal stakeholders. They will be relentlessly focused on improving the customer experience, with flexibility and the ability to prioritize in a changing business environment.
Key Responsibilities
- Analyze and solve business problems at their root, understanding 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 and 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.
Basic 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.
Preferred Qualifications
- 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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