Data Analytics Engineer
Summary
Designs and maintains data pipelines, builds AI models, and creates reports to turn raw data into actionable insights for executive leadership.
• Contract (Convertible to Perm)
• Boon Lay
• Monday to Friday: 8.00am - 5.45pm
• Up to $3,500 (Depending on experience & qualification)
- 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
- Contract (1 year)
- Convertible to permanent (depending on performance)
- Boon Lay
- Monday to Friday: 8.00am - 5.45pm
- 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
Success Human Resource Centre Pte Ltd (EA License Number: 97C4832)