Data Analyst - Geylang
Geylang Full-time
Job Responsibilities:
- Support Product Owner via management of Agile product team as lead forData Analysts and actively support full product development process fromconceptualization to delivery of solutions.
- Work with business stakeholders/users to develop end-to-end analyticssolutions, from problem & use case formulation, data pipeline, proof-of-concept, to developing and deploying the solution into production.
- One of the key responsibilities is to create additional non-standard customreports merged from data derived from our new Enterprise Resource Planningsystem (SAP S/4HANA, Ariba, and SAP Analytics Cloud) and other enterprisesystems, via Cloud-native enterprise analytics platform tools (e.g. Azure Data Factory, Snowflake, Databricks etc.) and deliver these reports to end users(e.g. Power BI) or other systems
- Work with business users and tech/data engineering/policy teams to continue improving the enterprise analytics platform, tooling and reusable assets.
- Track, validate and improve performance of analytical solutions developed.
- Responsible for providing operational support and maintenance of the data & analytics infrastructure platform and system.
- Member of the Analytics Centre of Excellence (COE), a community where like-minded professionals come together to cross learn, acquire exposure, and contribute to the delivery of data analytics projects.
- Work and share with Analytics COE members & community to continue to develop advanced analytics capabilities, adoption of best-in-class techniques and practices.
- Responsible to curate, develop and conduct training sessions/workshops to equip COE members and wider organization with the necessary data analytics/science knowledge and skills.
- Any other related work to support the departmental or divisional goals as required.
- Job Requirements:
- Bachelor’s degree in Computer Science/Engineering, Information Technology, Business Analytics, Data Science or Artificial Intelligence (or related) or related technical certificates.
- Minimum 10 years of experience in conceptualizing and developing advanced analytics or data science solutions to solve business problems.
- Familiar with analytics and/or machine learning platforms and how it integrates with upstream and downstream data and production systems.
- Experience of working with business users to gather/understand user requirements and working with tech/data team to improve analytics platform to resolve user pain points.
- Able to analyze business needs, articulate the solution framework including the model output, business decision and potential impact to drive the adoption of the solution.
- Excellent written, oral & inter-personal communication skills.
- Technical skills in SQL, R/Python, advanced analytics & visualization tools such as Tableau and PowerBI, ML packages and tools.
- Experience with Cloud services such as Azure, AWS and/or Google Cloud Platform will be an advantage.
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to achieve personal and professional development results.
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