
Data Analyst
2 weeks ago
COMPANY DESCRIPTION
NTUC Enterprise is the holding entity and single largest shareholder of the NTUC Social Enterprises. NTUC Enterprise aims to create a greater social force to do good by harnessing the capabilities of the social enterprises to meet pressing social needs in areas like health and eldercare, childcare, daily essentials, cooked food and financial services. Serving over two million customers, NTUC Enterprise wants to enable and empower all in Singapore to live better and more meaningful lives.
Kopitiam, a household name in the F&B sector is the latest addition to our family of NTUC Social Enterprises.
DESIGNATION : Data Analyst
RESPONSIBILITIES
- Gather data from internal and external systems; clean, update, validate and quality-control databases to ensure highest data quality
- Liaise with stakeholders to identify business needs and requirements, translating them into functional requirements
- Track and report metrics of organizational initiatives
- Develop models, dashboards and detailed reports to help internal customers quickly and accurately grasp business and operational trends
- Utilize historical data sets and business plans to model and forecast business trends
- Structure problems, form hypotheses and draw on public and private data sets to draw conclusions to guide decision making
- Undertake research to identify and recommend optimal solutions to business challenges
- Participate in projects in the digital transformation journey, where required
- Work in collaboration with the centralised Advanced Analytics team
QUALIFICATIONS
- Fresh graduates are welcome
- Diploma / Degree in Computer Science, Information Systems, Applied Mathematics, Business, or related disciplines
- Familiarity with GSuite and business intelligence tools such as Google Data Studio
- Experience in analyzing data and automating complex data handling through SQL, Python and/or R.
- Is a self-starter and able to work in a fast-paced environment against tight timelines with a team mindset
- Experience with Google Cloud Platform and in particular BigQuery is a plus
OTHER INFORMATION
Working location : Joo Koon
Working Hours : 830am - 6pm (Mon-Fri)
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