Work with stakeholders including customers, partners and colleagues to solicit requirements, design, develop, document, manage and maintain data analytic solutions for customers or internal users; and
Support data analytics solutions pre-sales initiatives, proposal development and provide post-sales support.
Academic Qualifications
Degree, Master\xe2\x80\x99s Degree or PhD in Computer Science/Engineering, Knowledge Engineering, Information Systems, Information Technology, Mathematics or equivalent with working experience in data analytics solutions development; and
Recognized professional or industrial certifications in relevant technologies or competencies.
Technical Knowledge/Skills/Competencies
In-depth technical knowledge in:
o Data Modelling; o Data Mining; o Statistical Analysis; o Simulation; o Optimization; o Operations Research; o Descriptive, Diagnostic, Predictive & Prescriptive analytics; o Machine Learning; or Artificial Intelligence.
Technical expertise in:
o Java, C/C++, Python, R, MATLAB, Scala, SQL etc. o Big data technologies e.g. Hadoop, Spark, Hive, HBase etc.
Experience in problem definition, ideation, data acquisition, mathematical modelling, testing and validation;
Experience in designing, documenting, implementing and supporting data analytics solutions; and
Experience in using software engineering best practices in development, programming, testing, version control etc.
Soft Skills
Excellent written and verbal communications skills;
Highly organized, motivated, independent and resourceful team player;
Strong analytical thinking, interpersonal and problem-solving skills; and
Able to work productively in an agile and fast-paced environment.
Summary Data Analytics specialist must be adept in applying the right analytic solutions to the correct problems. More importantly they are responsible for analyzing and interpreting data to deliver key business insights to stakeholders
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