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Web Analytics Specialist

Your Responsibilities

  • You will use multiple analytics tools to provide actionable insights in various areas of including web and social analytics, mobile, video, ecommerce and content
  • You will help streamline and maximize the use of data analytics tools like Google Analytics, Flurry and Optimizely
  • You will aid in creating dashboards and reports for web analytics using tools like Qlikview
March 20, 2017 // Singapore //
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Data Analytics Specialist


  • Must have work authorization to work in Singapore
  • Excellent university degree in Computer Science, Applied Mathematics, Engineering or Statistics
  • Possess 2 to 5 years’ experience in data mining, data analysis, model building, statistical modeling, predictive analytics and machine learning algorithms
  • Experience with one or more the following platforms SAS, SPSS, Python, R, Hadoop or SQL
  • Proven Java or C++ development skills a must
March 20, 2017 // Singapore //
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Customer Analytics Analyst

Mandatory Skill-set

  • Degree in business analytics/Statistics or its equivalent;
  • 2-3 years analytical experience in financial services industry;
  • Experience with any data mining software such as SAS/SPSS/Tableau;
  • Experience in dashboard development using Qlikview;
March 20, 2017 // Singapore //
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Data Analyst (Big Data)

In this role, you will be responsible for:

  • Working closely with business leaders to understand priorities, and the key decisions for which analytics support is required
  • Developing models to generate actionable insights that help inform those business decisions
  • Making clear, data-driven, and actionable, recommendations to the business on new initiatives and areas for potential improvement
  • Presenting data and recommendations in a well-structured, clear, format
March 20, 2017 // Singapore //
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Big Data Solution Architect

Skills & experience required

To ensure the success of the role, you should have the following:

• 8+ years of technology consulting experience

• Proven technical expertise in designing large/complex Big Data solutions around Hadoop/Spark/Cloudera

March 20, 2017 // Singapore //
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