Engineer, Data Analytics

This role is primarily responsible for the design, development, test, implementation and post-implementation maintenance of the company’s data warehouse and analytics projects to deliver high value and actionable insights to aid stakeholders’ decision making to improve businesses.

Key Job Responsibilities: 

• Create value through developing data analytics solutions that supports the company’s global objectives as well as internal business requirements 
• Proactively work with internal stakeholders to solicit data requirements to support business needs 
• Study complicate problems, provide source-to-target mappings and information specification documents for data sets 
• Perform data preparation of datasets that fulfils the project requirements 
• Work with both internal stakeholders and external vendors to design and implement appropriate data stores like databases, data warehouse and/or data lake to store data efficiently, keep the data up-to-date and serviceable for external systems or end-users to query 
• Utilise statistical tools to interpret complex data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts 
• Analyse and recommend specific types of data that can be used to derive features and rule-based approach for business applications 
• Develop, create best-practice reports based on data mining, analysis and visualization implement 
• Design and maintain data systems and databases; this includes fixing coding errors and other data-related problems 
• Perform complete life cycle data generation and translate data that effectively communicate trends, patterns, and predictions into critical and coherent information for executive leadership 
• Support system testing and evaluation activities including onsite acceptance testing to validate and improve the models and algorithms

Required Experience and Qualifications: 

• A good degree in Computer Engineering, Computer Science, Statistics or related disciplines 
• Candidate should have an analytical mind, attention to details for large datasets, and inclination for problem-solving 
• Able to generate comprehensive technical writings including queries, reports and presentations 
• Programming skills in at least one statistical programming language preferably Python, knowledge in Statistics and machine learning techniques. 
• Experience in one of the visualization tools, preferably Qlik, or any other relevant analytic tools 
• Practical experience with the use of statistical packages including SQL, XML, Javascript, with the ability to learn others to analyse data and generate useful reports, is an advantage 
• A team player with excellent verbal and written communication skills to communicate with the wider business and functional groups