Engineer, Data Analytics

Purpose of the Job: 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