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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