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Assistant Project Manager (Data Analytics)

Date: 08-Nov-2020

Location: Singapore, Singapore

Company: Singtel

About NCS

NCS is a leading information and communications technology (ICT) and communications engineering services provider across the Asia-Pacific region. We are headquartered in Singapore and a wholly owned subsidiary of the Singtel Group. We have in-depth domain knowledge and unique capabilities that create business value for customers. We offer a broad range of services, including consulting, systems development and integration, business process outsourcing, infrastructure management and solutions, and technology solutions.

 

What is the opportunity?

NCS is seeking an Assistant/ project Manager with Data Analytics focus! You will identify and translate market and business opportunities for our clients into actionable recommendations for the organisation. You will lead the design, development and delivery of complex digital analytics projects from initiation to closure. To achieve this, you will need to be a leader who can articulate a compelling vision to your client and team, and sure that this vision is delivered through all stages of the project.

You should also have a healthy appetite for exploring new technology and developing business cases to support enterprise wide data analytics solutions.

 

What will you do?

  • Oversee the implementation of data analytics strategy for a client organisation, and develop new service offerings
  • Client-facing interaction including providing analyses, recommendations, presentations and advice to clients
  • Lead the day-to-day activities of the delivery teams through the developing, establishing and maintaining project management standards and procedures. Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems
  • Lead interdisciplinary teams that combine technical, business and data science competencies that deliver work in waterfall or agile software development lifecycle methodologies
  • Understands the strategic direction set by senior management as it relates to team goals
  • Uses considerable judgment to determine solution and seeks guidance on complex problems
  • Manage the timely reporting of data analysis outcomes and effectively communicates findings, insights and recommendations to business leaders using data metrics on top of standard project management measures such as data quality and model accuracy
  • Oversee team management including budgets, forecasting, work allocations and staffing
  • Drive effective performance management practices within the department in accordance with organisation policies and procedures

 

 

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
  • A data analytics professional should have a deep passion for analysing and resolving complex problems through a systematic approach to deliver business outcomes. He displays an intellectual curiosity as well as the capability to engage with stakeholders to understand business issues.
  • Good critical thinking and problem-solving abilities, with curiosity to ask why and tenacity to find the root causes
  • Stay up to date with evolving analytics concepts and techniques including team management and project management processes
  • Ability to work independently and manage multiple tasks and projects

 

Must-have:

  • Minimum of Bachelor's Degree required in related field; strong preference for fields of study in the engineering, computer science, statistics or analytics
  • The successful candidate needs to have either
    • more than 2 years of experience leading an Analytics consulting team OR
    • experience with leading one or more MNCs through the journey to becoming a data-driven organization. OR
  • More than 5 years of experience implementing a broad range of Analytics/Business Intelligence projects such as:
    • Data Governance and Management
    • visualizing KPIs on business dashboards
    • applying advanced analytics/data science techniques to realize business values
  • The right candidate will need to have hands-on experience with one or more of the following Analytics technology stacks as well as familiarity with a broad range of solutions for visualization, advanced analytics, data ingestion/transformation, storage and hosting and willingness to learn new ones on the job.
    • Data Management & Storage: Informatica, Oracle Data Warehousing, IBM InfoSphere, Microsoft SQL Server, Hortonworks Data Platform, Cloudera, SAS
    • Data Visualisation: Tableau, Qlik, Microsoft PowerBI, Oracle Business Intelligence Enterprise, IBM Cognos, MicroStrategy, SAS etc
    • Statistical/Data Science Tools: SPSS, R, Python, Anaconda distributions, Jupyter
  • Experience working with Singaporean clients, the Singapore government, familiarity with GDPR in Europe, PDPA in Singapore will be an advantage
  • Project management certifications such as PMP, Agile, ITIL, Scrum Master

 

Nice to have:

  • Knowledge in database modelling and data warehousing concepts
  • Appreciation of software engineering tools such as Java, .NET, or higher-level programming languages
  • Exposure in artificial intelligence – machine learning, deep learning, reinforcement learning
  • Experience in implementing Graph database analytics
  • Certification and applied experience in cloud-based analytics platforms such as:
    • Microsoft Azure Analytics
    • Amazon Web Services Analytics
    • Google Cloud Platform Analytics