Senior/ Technical Project Manager (Data Analytics)

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