• Location: Singapore
  • Salary: S$4000 - S$5000 per month
  • Technology: Python Jobs
  • Job Type: Permanent
  • Date Posted: 17th Oct, 2019
  • Reference: PFI1710
Representing a global MNC in recruiting Data Engineer/ Analyst to join the team. This newly created position reports to the Head of Analytics and will be involved in full cycle of analytic projects within the organisation.

Responsibilities:

* Support the organisation worldwide data analytics initiatives
* Develop and implement databases, data collection systems, data analytics and other strategies that optimise statistical efficiency and quality
* Work with stakeholders to gather requirement, understand the requirement, and propose feasible solutions to resolve it
* Full cycle of project lifecycle - from planning, requirement, design, develop, implement and maintain Enterprise Data Warehouse and analytics solution
* Acquire data from a multiple data sources, develop and maintain data model and database for target use
* Design and implement process and logic to extract, transform and load (ETL) data from multiple data sources
* Analyze high-volume, high-dimensionality and high-volatility structured and/or unstructured data to obtain business insights and recommendations using statistical techniques/tools
* Design and generate reports, data visualisation and dashboards that support target use/metrics

Qualifications:

* Bachelor/ Master Degree, preferably in Data Analytics or Computer Science/ Information Technology domain
* At least 1-2 years of hands-on experience as Data Engineer/ Analyst
* Technologies like Python, R, NoSQL, SQL, Azure Datawarehouse, Azure Data Factory, PowerBI, C#.Net, or other open source analytics software would be ideal
* Experience with generation report, dashboard, data visualisation, data mapping, modelling, ETL, transformation
* Enthusiastic individual that is constantly looking forward to learn new technologies
* Strong interpersonal and communication skills to work effectively with users, stakeholders and vendors
* Ability to work under pressure and tight dateline, while delivering quality outputs

Benefits

* Opportunity to be involved in enterprise level and global projects
* Be part of a team of passionate data analytic, data scientist, data engineer and learn from the best
* Work life balance environment with great benefits and amazing culture
* Good annual remuneration package, training opportunities, and career growth

If you like what you have been reading so far, please quickly send across your updated CV in words to j.chua@pearsonfrank.com for a confidential chat.

EA License Number: 11C3017
EA Personnel Number: R165855