Vacancy

QA Analyst

Job Description

Manipulate, clean, validate and analyse existing structured and unstructured datasets, large and small, from a variety of sources as well as creating new data that will add value to the data mining process. Monitor and evaluate implemented strategies and models. Communicate findings and make recommendations.

  • Firm understanding of the use of OPSI’s route scheduling products. Further importance is given to the understanding of the relationship between different “tuning” options and the scheduling performance of each product
  • Firm understanding of the table structure of the SQL databases that store the data created by OPSI’s route scheduling products and how this data can be extracted and analysed by various software/tools
  • Conceptualize and create different models to be implemented in OPSI’s route scheduling products to test and quantify the performance of different parameters
  • Perform various regression analyses to monitor differences in performance amongst different release versions of any OPSI route scheduling product. Statistical tools such as R or R Shiny are expected to be used for visualization purposes
  • Optimization techniques are important in cases of predictive modelling
  • Regular composition of summarized statistical reports on the latest findings to be issued or presented before management
  • Proactive research on better quality assurance testing procedures that can provide further insights on the scheduling performances of the different OPSI’s route scheduling products
  • Build and maintain effective working relationships with other colleagues across departments to ensure tasks are completed within the stipulated period
  • Direct consultation with different clients is essential when further clarity on scheduling issues is required.
Job Requirements
  • Degree within a quantitative discipline such as B.Sc. Statistics or B.Sc. Pure/Applied Mathematics
  • 3+ years of experience analysing and interpreting quantitative and qualitative data
  • 3+ years of experience in building predictive models (classification and regression) that are essential and a firm understanding of optimization algorithms
  • 3+ years of experience in using analytical software essential to the position. These include: R, R Shiny and/or C#
  • 3+ years of experience in working with unstructured data which requires data manipulation and hence, employment of suitable data mining techniques
  • 3+ years of experience in implementation of theoretical models that boosted company performance and efficiency

Recommended Skills & Experience
  • 3+ years of experience in a logistics environment (advantageous)
  • 3+ years of experience in using SQL (essential) and other relational databases (advantageous)

Remuneration

​To be negotiated

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