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 Accountabilities:
- 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:
- 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
