Vacancy for Data Analyst

Our client is a cutting-edge advanced data analytics and AI company. With their open and innovative culture, they focus on delivering world-class solutions by combining people, processes and technologies to help organisations transform how data is used to make decisions.

  • Understand business problems, data sources and their integrity and availability through engaging client-side resources and domain specialists and collaborating with other analysts and engineers
  • Explore diverse kinds of data and develop ETL flows, quality control checks and validation strategies to automate routine analytics on these where necessary
  • Design, prototype and implement predictive models with guidance from data scientists and domain specialists
  • Evaluate the informativeness of features, the strengths and limitations of techniques and perform tests and diagnostics for novel and challenging modelling problems
  • Maintain code integrity, documentation, version control and organisation
  • Effectively communicate results of analyses to technical and non-technical audiences and help translate these into actionable insights where required and appropriate
  • Collaborate with engineers to deploy models at scale and make them available as robust, reactive and efficient API services
  • Bachelor’s degree or higher in Statistics, Computer Science, Mathematics, or a similar field
  • Demonstrable understanding of statistical inference principles, machine learning algorithms and ability to reason about computational cost at scale
  • Proficiency in R, Python or Julia, with exposure to machine learning libraries such as caret and scikit-learn
  • SQL and/or NoSQL querying proficiency is highly advantageous
  • Experience with analytical applications in R Shiny or BI/visualisation tools such as Power BI/Tableau is advantageous
  • Exposure to Apache Hadoop and Spark is advantageous
  • Exposure TensorFlow or PyTorch and CUDA is advantageous

Our client believes that curiosity and continuous self-improvement in a fun-loving and collaborative workspace makes for great teams. The ideal candidate should be a team player who genuinely enjoys learning and tackling challenges in a fast-paced environment, who applies sound judgment in pursuit of successful task planning and execution and exemplifies professionalism in work habits and communication.