Analyze and visualize data, build complex SQL queries and data pipelines, and operationalize analytics workflows using Python, R, and BI tools. Develop end-to-end data-centric solutions aligned with customer objectives, strengthen problem-solving capabilities, and grow into a subject matter expert. Experience with cloud services, database development, statistical modeling, predictive analytics, machine learning, and analytics platform certifications is advantageous.
- Possess good communications skills to understand our customers' core business objectives and build end-to-end data centric solutions to address them
- Good critical thinking and problem-solving abilities
- Expected to grow your skills and capabilities by becoming a SME within area of responsibility and scope of services and staying current on the new and emerging market offerings/technologies.
Must-have:
- Prior experience building compelling and usable data visualizations and analytics with commercial and/or open source BI tools
- SQL proficiency necessary to build and maintain complex queries and data pipelines
- Python/R (or similar scripting language) coding capability to operationalize data analytics workflows & processes
- 1-2 years of experience in data analysis and visualization
- Undergraduate or graduate degree in Computer science or equivalent
Nice to have:
- Experience with Amazon Web Services, Cloudera (or other cloud services)
- Data pipeline and/or database development experience
- Knowledge of statistical modelling, predictive analytics or machine learning
- Certification in leading data analytics platforms such as:- Tableau
- Qlik
- Microstrategy
- Informatica
- Talend
- Microsoft
- SAS
- IBM
Technopals Pte.Ltd. Singapore, Singapore, SGP Office
Singapore, Singapore
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What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
