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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
(0)(0)
March 20, 2017 // Singapore //
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AAEAAQAAAAAAAAT6AAAAJDc0NWViOGVmLTlhYTctNDFhMS1hZDM3LWYxYmMwZmI2NDRhZg

Data Analytics Specialist

Qualifications

  • 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
(0)(0)
March 20, 2017 // Singapore //
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AAEAAQAAAAAAAAiBAAAAJDE2Y2UzOGQwLTNmNjctNDUwMC1hZDdlLTkzY2JlMTY2ODdkYw

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;
(0)(0)
March 20, 2017 // Singapore //
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AAEAAQAAAAAAAAX6AAAAJDdiYzY2Y2VhLWEzODYtNDJmOC1hNzFiLTMwZWY5MmQ4ZGI2Ng

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
(0)(0)
March 20, 2017 // Singapore //
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AAEAAQAAAAAAAAZ0AAAAJDA5MDYzODY2LTRjMTQtNGMxYS1iMzY4LTY3MDAyZWU5MzE0Nw

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

(0)(0)
March 20, 2017 // Singapore //
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AAEAAQAAAAAAAAnKAAAAJDJiYmU3YmMzLTVjZGYtNDRiZS04ODMxLTU5ODcwMGQ1Y2UxOQ

Big Data Analytics Solution Sales Expert

Responsibilities will include:

  • Work closely with the Amdocs CBEs, the Sales Directors and the peers in the Customer Business Group, supporting the development of new business opportunities within specific territories/accounts within the Big Data Analytics domain.
  • Participate in region Pre-sale activities and sales support for Amdocs’ BDA products and solutions, including responses to RFIs, RFPs and inquiries.
  • Deliver on-site discovery / assessments with customers and partners. That includes understanding customer requirements, creating consulting proposals and creating packaged Big Data service offerings and roadmap.
(0)(0)
March 15, 2017 // Singapore //
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AAEAAQAAAAAAAAQAAAAAJGFjMjEzZWI5LWU4NDktNDRhYy1hZGRlLTBjNjMzNTBmOTNiNA

Technical Architect Big Data

Requirements

  • Bachelor’s Degree or equivalent experience required
  • 10+ years of overall experience in professional data engineering; Business Intelligence Expertise
  • At least 3+ years of hands-on experience with Hadoop distributions (including real time/streaming data analysis);
  • Strong leadership, critical thinker with problem solving aptitude
(0)(0)
March 15, 2017 // Singapore //
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AAEAAQAAAAAAAALTAAAAJGY1NGY1N2ZhLTNmZmUtNGRmZi1iMDgxLTJjZjdkNjNkYmZlOQ

Data Analytics Technical Specialist (JAPAC), Google Cloud

Preferred Qualifications

  • Master’s degree in Computer Science or a related technical field.
  • Extensive experience serving as a Technical Customer Engineer in a cloud computing environment, or equivalent experience in a customer facing role (including working as a member of a professional services or systems engineering team).
  • Experience with developing Data Warehousing, batch or real-time event processing and ETL workflows solutions which could include architecture, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
(0)(0)
March 15, 2017 // Singapore //
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