Data Analyst and Visualization Specialist
Ulwembu Business Services
Johannesburg, South Africa
3d ago
source : Job Placements

Minimum qualification Required :

  • A minimum of a Bachelors degree in Computer Science or Information Management OR equivalent;
  • A minimum of five to eight years experience in a data management environment
  • Discover data by applying data discovery mechanisms to establish the data sets within the SARB.
  • Identify data profiles of datasets discovered to determine completeness and compliance as well as for the purpose of inventory management.
  • Establish relationships between data elements and their impact on the business.
  • Understand business requirements and address matters of data completeness and data quality.
  • Conduct analysis to track dataset lifecycle from its initial generation to its eventual archival and / or deletion.
  • Conduct data analysis to determine various categories of data and information.
  • Conduct data analysis to determine the importance of the data to the business and the probability of reuse.
  • Produce regular reports and provide status updates as well as information for business domain.
  • Develop and manage stakeholder relations effectively to promote data management across the organisation and support reliable decision-making and appropriate data usage.
  • Provide input as data transitions from source to destination.
  • To provide data storytelling through visualization to ensure effective understanding and interpretation of information.
  • To provide and ensure effectiveness of data visualization techniques to enable deeper business insight.
  • To develop and manage stakeholder relations effectively to promote data visualization awareness across the organisation improve insight and decision making.
  • To make large and / or complex data more accessible, understandable and usable
  • To transform, improve and integrate data, depending on the business requirements.
  • To combine the data result sets across multiple sources (also known as the data federation) to provide a landscape view.
  • To deliver the data in a useful and appealing way to users.
  • To provide aggregated views and also be able to drill down to the details at a level of columns and rows.
  • Create robust, reusable data querying, transformation, and visualization processes.
  • Leverage analytics and visualization tools to present information in a way that drives fact based decision making
  • Develop analytical reports and represent large, complex sets of data through visual representation

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