Data Analytics Engineer

• Contract (Convertible to Perm)
• Boon Lay
• Monday to Friday: 8.00am - 5.45pm
• Up to $3,500 (Depending on experience & qualification)

Responsibilities:

• Study complicated problems, provide source-to-target mappings and information specification documents for data sets

• Mine data from primary and secondary sources, and organize these unstructured data into custom‑formatted structured data reports that can be easily read by either human or machine

• Perform data preparation of datasets that fulfills the project requirements

• Utilize statistical tools to interpret complex data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts

• Analyze and recommend specific types of data that can be used to improve the derivation of features and rules

• Create contextual‑based Artificial Intelligence models and multivariate advanced algorithms that paint the full picture of the situation and support decision‑making with actionable feedback

• Develop and 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

Period:

• Contract (1 year)

• Convertible to permanent (depending on performance)

Location:

• Boon Lay

Working Hours:

• Monday to Friday: 8.00am - 5.45pm

Requirements:

• Diploma in Computer Engineering, Computer Science, Statistic or related disciplines

• An analytical mind with attention to details for large datasets, and inclination for problem‑solving

• Generate comprehensive technical writings including queries, reports and presentations

• Technical skills include hands‑on experience of Python and/or R; spreadsheet tools such as Microsoft Excel and/or Google Sheets; data visualization software such as Tableau and/or Qlik or other relevant analytic tools

• A team player with excellent verbal and written communication skills to communicate with the wider business and functional groups