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Data Analyst

Careers@Gov
Agency: Government Technology Agency
Job no.: 532221
Work type: Contract
Location: Singapore
Categories:InfoComm, Technology, New Media Communications

The Government Technology Agency (GovTech) aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do. We also develop the Smart Nation infrastructure and applications, and facilitate collaboration with citizens and businesses to co-develop technologies.

Join us as we support Singapore’s vision of building a Smart Nation - a nation of possibilities empowered through info-communications technology and related engineering.

The Government Digital Services (GDS) Team aims to spearhead the digital transformation of government. Our team aims to design and develop software applications that help government agencies to better serve the needs of the people of Singapore.
 
We are looking for a Data Analyst who is passionate in using data to contribute to production grade products, which will result in the streamlining of the customer service journey delivery process, thereby benefiting the public. You will be scoping the project with stakeholders, using data sets currently available in the team or across Government Agencies to build useful data products which will be consumed by the masses.
 
What to Expect:
  • Collaborate with stakeholders to understand their needs/pain points
  • Design solutions to be used for streamlining operations and/or develop solutions for citizens
  • Build and manage the entire end-to-end lifecycle, including:
    • Scoping data inputs
    • Data cleaning and pre-processing 
    • Feature engineering 
    • Building models
    • Deploying to production
    • Improving models by iterations
  • Contribute to the data architecture engineering decisions to support analytics
  • Analyse Website and Mobile Application data and suggest actionable insights for improvements
How to Succeed:
  • Strong understanding of key concepts, techniques and considerations in machine learning and data analytics 
  • Experience in feature selection/extraction on a variety of data types
  • Experience in analysing Web and Mobile Application data
  • Experience with cloud deployments using AWS is an added advantage
  • Good communication skills to articulate findings and recommendations 
  • Passionate to know more about predictive modelling algorithms/recommender systems

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