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Senior/ Technical Project Manager (Data Analytics)

Date: 10-Sep-2021

Location: Singapore, Singapore

Company: Singtel Group

Primary Purpose

The role requires the ability to translate business and technical requirements into data interfaces, data transformation jobs and design data models that powers self-service analytics or AI projects.

To support this, you may also need to establish data management processes such as data governance, data cataloguing, security/privacy classification and advise our clients on the collection, storage and consumption of information in their organisations.

 

Responsibilities

  • Design and implement relevant data models in the form of data marts stored in Operational Data Stores, Data Warehouses or Big Data platforms
  • Perform data profiling to understand data quality and advise practical measures to address such data issues through data transformation and data loading
  • Dive into company data to identify sources and features that will drive business objectives.
  • 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 data science competencies that deliver work in waterfall or agile software development lifecycle methodologies

 

The ideal candidate should be / possess: 

  • Hands-on Implementation experience in either Talend or Informatica BDM
  • At least 2 to 3 years of java development experience with the ability to use java tools to perform data injection into Big Data Platforms
  • Strong knowledge of data manipulation languages such as SQL and other DB technologies necessary to build and maintain complex queries and data pipelines
  • Practical appreciation of data quality metrics and remediation strategies
  • Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP
  • Experience with other aspects of data management such as data governance, metadata management, archival, data lifecycle management