Data Analytics Analyst


Posted 12 months ago


  • Perform full life-cycle of Data Scientist / Analyst activities, including conceptualization, visualization to operationalization ▪
  • Primary focus will be in applying data science to solve business problems; data mining techniques, doing statistical analysis, building high-quality prediction systems, and use deep learning techniques ▪
  • Able to understand and solve the business problem by translating into a data model and building insights into an actionable outcome ▪
  • Collaborate with cross-functional teams to identify and prioritize actionable, high-impact insights across a variety of customer servicing areas ▪
  • Research, design, implement and validate models / algorithms to analyse diverse sources of data to achieve targeted outcomes ▪
  • Carry out customer behaviour analytics and deliver actionable insights in real time; through behaviour segmentation, predictive modelling, lifetime value modelling, churn prevention, statistical simulations and what if scenarios


  • Deep and practical understanding on implementing high performance, well-behaved analytics applications with a focus on data ingestion, feature engineering, model selection, training, validating and deployment
  • A deep understanding of statistical and predictive modelling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
  • Must have excellent Python, R and software development skills
  • Familiarity with Linux based operating system environments
  • Experience with scripting languages (e.g. Python, R, Julia) for data manipulation and statistical computing tools i.e. Spark Streaming (extraction, cleansing, transformation, smoothing, PMML model execution)
  • Experience in working with large datasets through OLAP tools i.e. Druid
  • Experience manipulating structured and unstructured data sources for analysis i.e. Greenplum, SparkSQL, HBase, S3 by using Notebook technologies such as Jupyter and Zeppelin
  • Working experience in cloud based and open source technology components
  • Interested applicants are invited to apply by email to

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