Data Warehousing Specialist

• Existing MIS databases.
• Existing reports and dashboards.
• Existing data warehouses.

• Collaborate with Project Managers and Business Leaders to deliver quality, effective management information, data warehouse and business intelligence applications, in line with the agreed development process and business needs.
• Collaborate with stakeholders to gather requirements, conduct analysis and prioritise requests.
• Conduct research and evaluate potential technical solutions to identified business problems.
• Translate business requirements into workable solutions and document solutions into technical specifications, partnering with Business and/or System Analysts when required.
• Design and code new database and analytics functionality using code that is readable, maintainable and reusable.
• Conduct Unit Testing of own code and resolve all issues/queries timeously.
• Contribute to user acceptance testing (UAT) to ensure that functionality is working correctly.
• Deliver solutions into the applicable production environment once testing has been completed.
• Provide stakeholders with regular feedback on the technical design and timelines for solution ensuring that business needs are met.
• Maintain existing databases and applications according to change requests approved by business as and when needed.
• Diagnose root causes of issues through problem-solving and recommend potential solutions.
• Monitor performance of solutions and make recommendations to improve the performance and functionality of the solutions, where appropriate.
• Log issues found in existing systems as internal change controls and ensure successful resolution of issues.

• Contribute to the overall data warehouse architecture and data base designs.
• Maintain and oversee the administration and maintenance of the data warehouse.
• Develop and maintain Business Intelligence and reporting technologies and processes.
• Translate stakeholder requirements into technical specifications for Business Intelligence (BI) reports and applications.
• Design and develop reports and dashboards based on Business Requirements Document (BRD) and customer specifications.
• Develop feasible technical specifications and process flows for data provision activities in support of the development of business intelligence solutions.
• Ensure the continued maintenance and enhancement to existing business intelligence solutions.
• Within user specifications extract, transform and load (ELT) data using the relevant tools.
• Verify and quality assure of data provided.
• Provide support to business intelligence users on data-related issues.

• Conduct research and undergo training where appropriate, in order to remain abreast of data enablement trends and understand their application in the short-term insurance industry
• Assist management and colleagues to make the right decisions in terms of planning future data enablement infrastructure, architecture and applications in the company short-term insurance business, in alignment with the company’s standards and the South African financial services regulatory framework.

• Provide authoritative expertise and advice to colleagues.
• Develop and maintain productive and collaborative working relationships with peers and team members.
• Deliver on Service Level Agreements made with colleagues.
• Continuously develop own expertise in terms of industry and subject matter development and application thereof in an area of specialisation.
• Participate and contribute to a culture of work-centric thinking, productivity, service delivery and quality management.
• Contribute to continuous innovation through the development, sharing and implementation of new ideas and involvement of peers.
• Take ownership for driving career development.

• Manage financial and other company resources under your control with due respect.

• Business Acumen.
• Client / Stakeholder Commitment.
• Drive for Results.
• Leads Change and Innovation.
• Motivating and Inspiring Team.
• Collaboration.
• Impact and Influence.
• Self-Awareness and Insight.
• Diversity and Inclusiveness.
• Growing Talent.

• Communication – articulating information and challenging ideas.
• Analysing and interpreting data.
• Problem-solving.
• Planning and organising – time and task management.

• Relevant IT and data analytics qualifications e.g. B.Tech or B.Sc. (Informatics) - Essential.
• Dimensional modelling and/or relevant Microsoft certification - Advantageous.
• On- the-job training/qualifications:
• Microsoft Sql Server.
• Oracle.
• Power BI.
• Advanced MS Excel.
• Starquest.

• Python.
• Scala.
• Spark.
• AWS Sagemaker.

• Azure SQL elastic instance.
• Data factory.
• PowerBI.
• AWS RDS.

• Methodologies
• The candidate must have ability to elicit data requirements from stakeholders.
• The candidate must have clear documentation skills.

• The candidate must be familiar with design patterns in the data development industry.
• The candidate must have a solid understanding of Metadata constructs.
• The candidate must have clear understanding of EDW.
• Knowledge of Domain driven design would be an advantage.
• The candidate must be familiar with the concept of Data Marts.
• The candidate must be familiar with abstraction techniques.

• The candidate must have proven data modelling techniques (3 years).
• The candidate must have knowledge and experience in Ralph Kimball data warehouse modelling (3 years).
• Knowledge of Immon data warehouse modelling techniques would add an advantage.
• The candidate must have data normalization skills most especially the 2nd Normal form.

• The candidate must have solid experience of ETL systems.
• The candidate must have solid experience of sourcing, staging and loading.
• The candidate must be familiar with parallel loading principles.
• The candidate must be familiar with source to target mapping.

• The candidate must have advanced knowledge of T-SQL (4 years) and the following concepts.
• Dynamic T-SQL.
• Multi-threading.
• Performance optimisation and tuning.
• The candidate must have practical experience of SQL Server Database Engine (4 years).
• The candidate must have practical experience of MS SSIS ETL software (4 years).
• The candidate must have practical experience of MS SSAS OLAP software (4 years).
• The candidate must have practical experience of MS Visual Studio Data Tools (4 years).
• Knowledge of Database Administration would add an advantage.
• Expert knowledge in configuration of database hardware resources.

• The candidate must be able to source data from different repositories.
• The candidate must be fully acquainted with Microsoft SQL Server repository.
• Knowledge of Data Lake would be an advantage.
• Knowledge of Oracle would be an advantage.
• Knowledge of Hadoop is not essential but will also be an advantage.

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