With so much to gain from a career with the Azadea Group, the real question is: why NOT work with us?
Data and Analytics Team Leader
Job Title
Data and Analytics Team Leader
Location
Lebanon, Beirut
Department
Brand Management
Role Purpose

A Data Scientist is responsible for creating value out of data, proactively fetching information from various sources, analyzing it for better understanding about how the business performs, and building tools that automates data processes within the company

Key Accountabilities

Conduct research on best practices in the company's relevant business process areas and stay abreast of market trends and activities

Enhance data collection procedures to include information that is relevant for building analytic systems

Process, cleanse and verify the integrity of data used for analysis to ensure accuracy in the business solutions and quality of reporting data presented to relevant parties

Explore and analyze the data to determine the trends, opportunities and also weaknesses

Develop customized algorithms to extract data from large data sets, analyze the data to identify patterns, anomalies and emergent trends and opportunities for potential business growth

Design and develop business intelligence/data visualization reports and metrics to present data in a concise way to diverse audiences

Create and implement an action-plan of initiatives and campaigns with customers in line with the division strategy

Work with a wide range of stakeholders and functional teams and be able to discover solutions derived from the data findings

Create and implement an action-plan of initiatives and campaigns with customers in line with the division strategy

Work with a wide range of stakeholders and functional teams and be able to discover solutions derived from the data findings

Qualifications, Experience, Knowledge

Bachelor’s degree in Statistics, Computer science or Applied Mathematics

Experience in Database Management System and querying languages; SQL server and Oracle

Experience with Business Intelligence tools

6 to 8 years of experience in Data Analysis – Retail is a major plus

Proficiency in Machine Learning Algorithm, Predictive Analysis, and Artificial Intelligence

Experience in Statistical Packages such as R, SAS, SPSS is a plus

Competencies

Analytical Thinking

Attention to details

Communication Skills

Initiative

Developing and Motivating Others

Decision Making

Planning and Organizing

You already set this vacancy as a favorite