Senior Data Science Analyst

Responsibilities

  • Prepare and interpret data
  • Analyse results using statistical techniques
  • Develop and implement data collection, analytics and other strategies that optimise statistical efficiency and quality of data
  • Conduct data deep dives to identify new product opportunities and find root causes for trends observed in data
  • Analyze data generated by experiments and present findings to stakeholders in a clear and concise format for decision making
  • Create visualizations to communicate the results of statistical tests and analysis to stakeholders
  • Serve as a liaison between the business units and the data engineering / IT teams

Requirements

  • Bachelor of Science or Bachelor of Engineering in Computer Science, Information Management or Statistics
  • Proven working experience designing, developing, integrating and running business, big data and /or data science applications
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (Oracle, SQL etc.), programming (XML, JavaScript, and ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, SSIS, SSAS etc.)
  • Good knowledge or prior experience with Hadoop, Spark, Hive, Apache Pig is highly desirable
  • Knowledge in data visualization tools like Tableau, SAS VA , Quick BI
  • Experience with machine learning processes, models and ETL development is preferred
  • Strong analytical skills, with the ability to collect, organize, analyse, and disseminate significant amounts of information
  • Attention to detail, data accuracy and quality of output

Salary Grade: M4/M3

Posting Date: 30 May 2018

Closing Date: 29 June 2018

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