الوصف الوظيفي
The ideal candidate would be highly motivated, self-directed, enthusiastic person who works well under pressure and can thrive in a deadline driven atmosphere. The ideal candidate will be creative, innovative, team oriented, an effective communicator, have a desire to participate in change and appreciate a dynamic environment with rapidly changing priorities.
Responsibilities Include:
This is a crucial role that impacts seller performance and seller reimbursements for MENA Easy Ship and MFN channels. The key aspects of this role include:
Understanding drivers, impacts, and key influences on business including but not limited to seller performance and seller account health
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards on the key drivers of the business
Communicating complex analysis and insights to senior leaders, both verbally and in writing
Support cross-functional teams on day-to-day execution and long-term expansion of the program
Conducting deep dives into the existing data sets to come up with insights that are harbinger of new programs impacting P&L;in a significant manner.
The successful candidate will be an expert with analyzing large data sets and have exemplary communication skills. The candidate will need to be a self-starter, very comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.
BASIC QUALIFICATIONS
Bachelor’s degree in Statistics, Econometrics, Operations Research, Finance, Applied Math, or related technical discipline.
2+ 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) and scripting/statistical languages (Python, R, etc..)
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.
المهارات
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
تفاصيل الوظيفة
منطقة الوظيفة دبي, الإمارات العربية المتحدة
قطاع الشركة الاستعانة بالمصادر الخارجية للموارد البشرية
طبيعة عمل الشركة شركة توظيف
الدور الوظيفي تكنولوجيا المعلومات
نوع التوظيف دوام كامل
الراتب الشهري غير محدد
عدد الوظائف الشاغرة غير محدد
المرشح المفضل
المستوى المهني متوسط الخبرة
عدد سنوات الخبرة الحد الأدنى: 5
منطقة الإقامة الإمارات العربية المتحدة
https://www.bayt.com/ar/uae/jobs/business-intelligence-engineer-4167549/
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