Data & Analytics Consultant (Nucleus Graduate Programme)

Date: 24 Jun 2024


Singapore, Singapore

Singtel Group

Will you be part of the extraordinary? 


NCS’s mission is to bring people together and harness technology to advance communities. As a leading technology services firm, operating across Asia Pacific in over 20 cities, our diverse 12,000-strong workforce delivers large-scale, mission-critical projects for governments and enterprises locally and regionally. Our NEXT capabilities of digital, cloud, platforms as well as our core offerings in Applications, Infrastructure, Engineering, and Cyber Security provide end-to-end technology solutions and services to our clients. 


Your role is only the beginning 


Join NCS and experience a collaborative work environment where you can develop and grow your career through our well-defined career tracks. As part of our Nucleus Graduate Programme, you’ll have the opportunity to work on impactful projects with a team that shares your passion for making a difference in the world. Our comprehensive training, professional coaching, and technical expertise will help you attain a Master of Technology with NUS-ISS or industry-recognized certifications. You’ll also have access to multiple ‘playgrounds,’ such as Project Teams, Client Tribes, Strategy Groups, and Centers-of-Excellence based in Singapore, Shenzhen, and Melbourne. At NCS, we are committed to empowering our people to achieve their fullest potential and create an extraordinary future together. 


Are you excited about the opportunity to tackle complex problems and develop solutions that make a real difference in people’s lives? Do you thrive in a fast-paced, dynamic environment where you’re encouraged to think outside the box? Are you looking to make an impact and contribute to the development of innovative solutions? If you feel any of these describe you, then you might be the one we are looking for! 


What will you be expected to 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 should you have:  

  • Degree in Computer Science, Computer Engineering, Engineering, Information Systems, Business Analytics, Mathematics, Statistics, Economics, Physics, or other related disciplines that possess an analytical and quantitative component from a reputable institution 

  • Fresh graduate or less than 2 years of relevant working experience  

  • Basic competency in two or more of the following areas preferred: 

    • Data visualisation 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 


Additional experience it would be great to have: 

  • Proficiency in AWS, Azure, Cloudera (or other cloud services), data pipeline and database development. 

  • Knowledge of statistical modelling, predictive analytics or machine learning 

  • Hands-on experience in 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 


Explore exciting career opportunities with NCS and kick-start your journey towards success. As a fresh graduate, you will have access to our Nucleus Graduate Programme, which offers professional coaching, comprehensive training, and clear career tracks to help you achieve your full potential. Visit our website at ncs.co/opportunities and check out our LinkedIn Career site to discover how you can be part of the extraordinary today. Join our team and experience #ncslife today! 

We treat all applications with the utmost confidentiality. While we appreciate the interest in this role, only shortlisted candidates will be contacted given the high volume of applicants. 






















About Singtel

Headquartered in Singapore, Singtel has 140 years of operating experience and played a pivotal role in the country’s development as a major communications hub. Optus, our subsidiary in Australia, is a leader in integrated telecommunications, constantly raising the bar in innovative products and services.

We are also strategically invested in leading companies in Asia and Africa, including Bharti Airtel (India, South Asia and Africa), Telkomsel (Indonesia), Globe Telecom (the Philippines) and Advanced Info Service (Thailand). We work closely with our associates, leveraging our scale in networks, customer reach and extensive operational experience to lead and shape the communications industry.

Together, the Group serves over 700 million mobile customers around world. Singtel is one of the largest listed Singapore companies on the Singapore Exchange by market capitalisation.

The Group has a vast network of offices throughout Asia Pacific, Europe and the USA, and employs more than 23,000 staff worldwide.