Data Analyst
Singapore Last updated 3 years ago
JobKred is a digital workforce and skills development platform that helps individuals and organisations stay relevant and future-ready for the rapid changes in today’s economy.
Using Big Data and AI, JobKred scans online labour market information to decode the relationships between jobs and skills and understand the latest developments in the world of work.
With this information, JobKred provides businesses and countries with a workforce transformation platform, empowering employees and citizens with AI recommendations to personalise their learning and receive career recommendations.
Saving up to 90 per cent of the time and cost that traditional approaches take, clients can get started on transforming and future-proofing their people and company in as little as a week.
JobKred works with companies across multiple industries, from SMEs to Fortune 50 companies, and has played a role on the national stage as the intelligence behind Singapore’s national jobs portal, MyCareersFuture.sg. Internationally, JobKred has worked with UNESCO, World Bank and the Asian Development Bank to conduct workforce development projects using its technologies, with the results aiding the policy-making processes in various countries for higher education, vocational education and lifelong learning.
Description
Experience in data analysis and data collection required
Fast-paced position that requires a high degree of energy and focus without compromising quality
Conduct data collection and analysis using SQL
Automate data collection and aggregation processes to build reporting dashboards
Collaborate with data engineers, product managers, and operation teams to provide statistics or business data that can help to drive business insights
Requirements
Bachelor degree in Mathematics, Statistics, Engineering, Computer Science or related field
Able to work with a large amount of data meticulously
Familiar with at least one programming/scripting language, preferably Python and/or VBA
Able to understand and write sub-queries in SQL proficiently
