Business Intelligence Engineer

Souq.com, An Amazon Company -
Dubai, United Arab EmiratesPosted 4 years ago

33People have clicked1 open position

Job Details

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Responsibilities include:

Will provide new and innovative solutions for complex problems, sometimes imagine and invent before stakeholders ask, sometimes using cutting-edge approaches.
Retrieve and synthesize data from multiple sources, and present critical insights in a format that is immediately useful to answering specific questions or improving performance.
Translate functional requirements into robust, efficient, supportable solutions that work well within the overall system architecture.
Work with AWS technologies such as S3, DynamoDB, Lambda, SQS, Redshift, EMR and more.
Evaluate and make decisions around the use of new or existing software products.
Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.

BASIC QUALIFICATIONS

Bachelor's degree in Statistics, Econometrics, Operations Research, Finance, Applied Math, or related technical discipline.
3+ years of relevant experience with demonstrated results in a statistical analyst, business intelligence or data science role.
Strong fluency with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, Stata, MatLab), and Microsoft Office (e.g., Excel).
Experience with algorithm development
Proficiency in command line tools
Capable of data processing and transference outside of ETL tools or databases (custom scripts to pull and load from APIs or Files).
Experience articulating business questions into analytical questions, and using quantitative techniques to arrive at a solution using available data.
Excellent written and verbal communication skills on quantitative topics.
Detail-oriented and an aptitude to solve unstructured problems.

PREFERRED QUALIFICATIONS

Master's degree in Statistics, Econometrics, Operations Research, Finance, Applied Math, or related discipline.
Knowledge of a variety of quantitative modeling techniques, e.g., logistic regression, decision trees, SVMs, neural networks, graph theory
2+ years of supply chain design and management experience.