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#EG-SP-NEXT Data & Analytics Consultant (Nucleus)

Date: 14-Oct-2021

Location: Singapore, Singapore

Company: Singtel Group

About NCS
NCS is a leading technology services firm with presence in Asia Pacific and partners with governments and enterprises to advance communities through technology. Combining the experience and expertise of its 10,000-strong team across 49 specialisations, NCS provides differentiated and end-to-end technology services to clients with its NEXT capabilities of digital, cloud, platforms as well as core offerings in application, infrastructure, engineering and cyber security. NCS also believes in building a strong partner eco-system with leading technology players, research institutions and start-ups to support open innovation and co-creation. For more information, visit ncs.co.


About Nucleus
Nucleus is an NCS programme that equips you with professional training, technical expertise and industry experience. We help you develop your ICT skills and accelerate your career as you work on technology projects that make a difference in the lives of people.
We have designed Nucleus to help build your foundation, develop your technical skillsets and deepen your specialisation experience. You will be immersed in challenging projects and attain NUS-ISS accredited graduate certification programmes. Through this, you will be on your way to attain a Master of Technology.
Join us as we make a difference and impact to the lives of people to champion digital transformation for the future.

 

What will you do?

  • Translate customer pain-points into problem statements, develop analytics solutions, and engagingly present results and learnings to both technical and non-technical audiences
  • Contribute to the building and maintaining of end-to-end data pipelines to bring information from source systems, harmonise and cleanse data to support analytics solutions
  • Contribute to scoping of data inputs, data cleaning and pre-processing, feature engineering, building analytics solution, deploying to production, conducting testing, and improving analytics solution by iterations
  • Participate in technical design sessions with cross-functional teams to define data process flow, data definition, data & analytics solution requirements and specifications
  • Work closely with project manager and technical leads to provide regular status reporting and support them to refine issues/problem statements and propose/evaluate relevant analytics solutions
  • Work in interdisciplinary teams that combine technical, business and analytics competencies that deliver work in waterfall or agile software development lifecycle methodologies

 

What do you need to succeed?

  • 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
  • Ability to work independently and manage multiple task assignments
  • 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.

 

The ideal candidate should have/be:

  • Master or Degree in Computer Science, Computer Engineering, Engineering, Information Systems, Business Analytics, Mathematics, Statistics, Economics, Physic, or other related disciplines that possesses an analytical and quantitative component from a reputable institution.
  • Basic competency in two or more of the following areas preferred:
    • Data visualization tool (e.g. Tableau, Qlik, PowerBI)
    • SQL knowledge
    • Programming or scripting language (e.g. Python, R, Java)
    • Analytical software (e.g. SAS)
    • Distributed architectures (e.g. HDFS, Hive)
  • Ability to analyse and break down complex concepts and technical findings into clear and simple language for communication to team members and clients
  • Ability to link industry specific business requirements to BI, Analytics and Big Data solutions

 

Good to have:

  • Experience with AWS, Azure, Cloudera (or other cloud services)
  • Data pipeline and/or database development experience
  • Knowledge of statistical modelling, predictive analytics or machine learning
  • Hands-on experience setting up and using toolkits such as:
    • Docker
    • VMs
    • Git
    • SSH
    • REST APIs.
  • Certification in leading data analytics platforms such as:
    • Tableau
    • Qlik
    • Informatica
    • Talend
    • Microsoft
    • SAS
    • IBM