Job Description

The Data Warehouse Manager manages the daily activities of the team responsible for the design, implementation, maintenance, and support of data warehouse systems and projects. This role involves overseeing data design and the creation of database architecture and data repositories. The Data Warehouse Manager must establish and lead a world-class data analytics/warehouse capability for the company to enable future needs for advanced analytics and AI.Key Responsibilities:

• Maintain and Support:

• Existing MIS databases
• Existing reports and dashboards
• Existing data warehouses
• Develop, Test, Deploy, Maintain, and Support:

• New databases
• Reporting, data warehouse, and business intelligence applications from high-level business requirements and designs through the Software Development Life Cycle
• Internal Process:

• 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 prioritize 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 promptly.
• 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 solutions ensuring that business needs are met.
• Maintain existing databases and applications according to change requests approved by the business as and when needed.
• Diagnose root causes of issues through problem-solving and recommend potential solutions.
• Monitor the 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.
• Role-specific Responsibilities and Outputs:

• Develop, implement, and document Business Intelligence Solutions:

• Contribute to the overall data warehouse architecture and database 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 of existing business intelligence solutions
• Within user specifications, extract, transform, and load (ELT) data using the relevant tools
• Verify and quality assure data provided
• Provide support to business intelligence users on data-related issues
• Future Development and Planning:

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

• 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 specialization
• 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 of driving career development
• Finance:

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

Competencies Required:

• 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

Skills:

• Communication - articulating information and challenging ideas
• Analyzing and interpreting data
• Problem-solving
• Planning and organizing - time and task management

Experience and Qualifications:

• Relevant IT and data analytics qualifications, e.g., B.Tech or B.Sc. (Informatics) - Essential
• Dimensional modeling and/or relevant Microsoft certification - Advantageous
• 3 - 5 years of management experience taking care of teams between 5 - 8 people - Essential

On-the-job Training/Qualifications:

• Microsoft SQL Server
• Oracle
• Power BI
• Advanced MS Excel
• Starquest

Experience in Predictive Analytic Platforms:

• Python
• Scala
• Spark
• AWS Sagemaker

Experience in Azure / AWS Platform Services:

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

Methodologies:

• Ability to elicit data requirements from stakeholders
• Clear documentation skills

Principles:

• Familiarity with design patterns in the data development industry
• Solid understanding of metadata constructs
• A clear understanding of EDW
• Knowledge of Domain-driven design - Advantageous
• Familiarity with the concept of Data Marts
• Familiarity with abstraction techniques

Modelling:

• Proven data modeling techniques (3 years)
• Knowledge and experience in Ralph Kimball data warehouse modelling (3 years)

Energy at Work Projects