KEY RESPONSIBILITIES
Business Analytics
• Build data pipelines and functions for visualization and business analytics supporting the business and respective product owners
• Deliver accurate regular and ad-hoc performance tracking and analysis to drive traffic, transactions and processes
• Ad-hoc analysis based on strategic direction of the business and deep dive into specific area / trend
• Make data management recommendations based on data and industrial practices
• Assist in business case and pricing initiatives as required
Data Engineering and Analytics
• Design, develop and implement datasets, models, as well as support to interpret and present statistical outcomes to support the organization’s operations and execution of key business strategies
• Design and conceptualize solution that address the organization’s challenges through use of data engineering and analytics and process large amount of data by applying algorithms • Collaborate with stakeholders to build data management and analytics capabilities, conduct feasibility studies,
• Knowledge of ETL and OLAP to support and contribute to database implementation and systems, devising strategies to promote continuous improvement
• Devise methods and strategies to obtain and extract data to derive business insights KEY REQUIREMENTS
• Degree holder in Information Systems, Business / Data Analytics, Information Technology or Computer Science with at least 8 years of experience in data engineering
• Working knowledge of data mining principles: mapping, collecting data from multiple data systems on premises and cloud-based data sources
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units
• In-depth understanding of and experience in designing structured and unstructured, SQL and NoSQL data repositories
• Experience working with, creating and maintaining databases and repositories using state-of the-art data backup, rollback and version control solutions
• Proficient with data engineering methods and technologies / tools such as ETL, R and/or Python. Azure Cloud proficiency will be an advantage
• Highly motivated, structured and methodical with high degree of initiative
• Strong problem solving, quantitative and analytical abilities
• Excellent written and oral communication skills
• Able to work independently or cross functionally