Data Analyst (Internships)

location career
Singapore
time
Internship (6 Months)
    Responsibilities
  • Be part of a dynamic team focused on Telecommunications data and innovation initiatives
  • Collaborate with a team of experienced data engineers, developers and business experts to deliver on analytics and reporting capabilities
  • Work with large datasets such as Mobility, weblogs, app logs from multiple sources
  • Develop a detailed understanding of customer and provide 360 degree insight of the customer
  • Partner with business experts to enrich the data and find meaningful relationships/insights that can be applied towards actionable solutions
  • Prepare consulting deliverables and dashboards with the use of charts, visualization tools and reporting automation to communicate end-results of technical analyses to a non-technical audience
  • Assist client teams with ad-hoc data related requests by producing reports
  • Work on multiple projects and manage timelines, milestones and delivery efficiently
  • Problem solve complex issues and work to create elegant, simplified solutions
  • Implement automation wherever possible to streamline the process, minimizing the need for manual intervention
  • Develop and implement an automated data validation and quality control mechanism into downstream analytics and reporting

 

            Requirements:

  • BS or MS degree in mathematics, computer science or other related field
  • Coursework or related certifications in data science, statistics or machine learning is a plus
  • 1-3 years of experience in the big data ecosystem  at a data warehouse, consulting firm, analytics team
  • Experience working with large datasets
  • Strong working knowledge writing SQL queries and scripting languages (e.g. R, Python)
  • Strong presentation and communication skills and ability to convey technical analyses and information in a clear and     concise manner to a wide variety of stakeholders
  • Experience building and designing creative and scalable solutions and dashboards in data visualization tools (e.g.     Tableau)
  • Experience in data cleansing, exploratory analysis
  • Knowledge of Agile Scrum and Continuous Delivery practices is desirable
  • Quick and eager student of new technologies as and when they are needed

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