Data Analyst-Mining


Purpose of the role

Incumbent will be responsible for driving data analytics, development of data models and algorithms in a scientific manner,

Key Responsibilities
  • Work with stakeholder throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement
  • Develop custom data models and algorithms to apply to data sets.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial, neural networks) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage) and experience with applications.
  • Producing project feasibility and costings reports
  • Working closely with colleagues, developers, testers and a variety of end users to ensure technical compatibility and user satisfaction.
  • Keeping up to date with technical and industry developments
  • Any duties assigned to by the supervisor
  • Grade 12 Certificate
  • Bachelor’s degree in Computer Science /Engineering/Mathematics or Equivalent
  • Valid Driver’s Licence
  • A minimum of at least 5 years’ experience in a similar role in a reputable organization
  • Knowledge in SQL, Oracle, Sequel, Visual Basic, C++ and Java, Unified Modelling Language (UML) and SAP business software applications.
  • Web-based technologies.
  • Broad knowledge of hardware, software and programming
  • The ability to learn quickly
  • The ability to contribute to a team effort
  • A logical approach to problem solving
  • Good interpersonal and client-handling skills, with the ability to manage expectations and explain technical detail
  • Business awareness
  • A methodical, investigative and inquisitive mind
  • Presentation skills
  • Excellent oral and written communication skills
  • Planning and negotiating skills
  • Initiative and self-confidence
  • An interest in the way organizational processes work.

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