Engineer

Data Analytics Specialist

Job Description

• 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’s 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:
  • Data Modelling;
  • Data Mining;
  • Statistical Analysis;
  • Simulation;
  • Optimization;
  • Operations Research;
  • Descriptive, Diagnostic, Predictive & Prescriptive analytics;
  • Machine Learning; or Artificial Intelligence.

• Technical expertise in:
  • Java, C/C++, Python, R, MATLAB, Scala, SQL etc.
  • 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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