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

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

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

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

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

Competencies Analytical Thinking

Attention to details

Communication Skills

Initiative

Developing and Motivating Others

Decision Making

Planning and Organizing