GOVT* Business Analyst - Data Analytics  (Up to 8.5K | Data Warehouse | ETL) 

ScienTec Personnel| Date Posted: 13-Feb-2021
EA Licence No: 11C5781|EA Personal Registration No: R1550983
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Job Nature:
Contract
Position Level:
Experienced, Manager
Qualification:
Diploma, Bachelor's / Honours, Masters / PhD

Job Description

GOVT* Business Analyst - Data Analytics  (Up to 8.5K | Data Warehouse | ETL) 

Project details:  Data Analystics Project | HR Project 

Working Location: Central

Working Hour: Monday to Thursday 8.30am to 6pm; Friday 8.30am to 5.30pm

Project Term: 1 year Contract (Renewable)

Responsibilities:

  • Provide data analytics consulting services to the government agencies, including data analytics planning and strategy – perform data analytics visioning and road-mapping, business case development, implementation planning, organisational planning, budget and risk management planning
  • Work closely with stakeholders to understand their needs/pain points, scope the problem and develop business case on how to turn data into critical information and knowledge that can be used for policy making, streamlining operations or developing solutions for citizens.
  • Advise stakeholders on the key ICT trends and best practices in data analytics, assess applicability for adoption and recommend solution that best fits stakeholders’ needs
  • Perform data cleaning, pre-processing and feature engineering that facilitate meaningful analysis
  • Work closely with data scientists to mine insights from structured and unstructured data and to resolve complex statistical modelling problems to answer pertinent business questions.
  • Design dashboards and interactive visualization as tools for data exploration as well as for storytelling. Present analytics insights to business users and stakeholders
  • Work with stakeholders to ensure smooth deployment and adoption of new solution

Requirements:

  • Degree/Master in any discipline with minimum 3 years of relevant working experience
  • Understand key concepts, techniques and considerations in Machine learning and Data analytics
  • Statistical modelling tools such as (any): R, Python, RapidMiner, Knime, SAS, Matlab or SPSS
  • Data manipulation using scripting languages like Python or using ETL tools

If you are excited by the above opportunity and challenges and enjoy making things happen, do apply now!
OR
Email your resume to:
[Click Here to Email Your Resume]
Wyman Low
Recruitment Consultant
Low Yong Wei (Wyman) - R1550983
ScienTec Consulting Pte Ltd - 11C5781

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