Job Description

Key Roles and Responsibilities:

• Implement best practices in data management, governance, and analytics to ensure the accuracy, security, and usability of the data.
• Ensure that data is managed in a consistent and secure manner, and that governance policies are in place to protect sensitive information.
• Ensure that data is of high quality, with proper validation, cleansing, and enrichment processes in place and continuously monitor data quality and ensure that data is accurate, accessible, and usable for business purposes.
• Deploy analytics tools and platforms that enable the business to extract insights from data and make informed decisions.
• Ensure that tools are user-friendly and that all team members have the skills and knowledge they need to use them effectively.
• Maintain, support, and enhance the business intelligence data backend, including data warehouses
• Map configurations and complex data architectures, ensuring documentation meets current and forecasted needs.
• Formulate and recommend standards for achieving maximum performance and efficiency of the data warehouse ecosystem.
• Participate in the planning for retirement of systems or programs, and migration of systems infrastructure
• Work closely with business advisory to ensure prioritisation of organisational and departmental objectives and projects.
• Champion data quality, integrity, and reliability throughout CII by designing and promoting best practices.
• Provide assistance to data engineers and analysts with issues needing technical expertise or complex systems and/or programming knowledge.
• Provide on-the-job training for new or less experienced team members.
• Provide technical training to external team members to foster stronger cross-departmental relations.
• Provide input to architectural decision making.
• Be involved in architecting and developing micro-service platforms and interfaces.
• Participate in the agile delivery process as and when need.

People ManagementExperience

• Manage team members to ensure effective delivery of business unit objectives.
• Develop a high performing team by embedding formal performance development and informal coaching.
• Encourage frequent knowledge sharing between team members.
• Determine and analyze development needs for the team and ensure that identified training requirements are budgeted for and executed.
• Interview and recruit new members of the team, including determining appropriate compensation levels with input from HR.
• Create effective workforce and recruitment demand plans to ensure that current and future business requirements can be met.
• Review and update the departments organization structure and role descriptions on at least an annual basis to ensure that they are fit for purpose and contain all the accountabilities of each team member.
• Approve leave requests for team members and create a leave plan to ensure adequate coverage.
• When required, initiate disciplinary processes for team members calling on HR for support.
• Resolve grievances raised by team members and escalate only if required
• Address poor performance of any team member through the formal. Performance Improvement Programme and ensure that continued poor performance is appropriately dealt with.
• Motivate team members and ensure that their efforts are recognized.

Academic Qualifications and Certifications:

• Post Graduate qualification in information technology or related field.
• 10 years experience in an analytics/data/technology environment (Principal)

• 8 years experience in an analytics/data/technology environment (Intermediate)
• 5 years experience in an analytics/data/technology environment (Junior)
• 5 years BI Development experience in an enterprise environment
• 5 years BI Solution Architecture experience
• Experience working with cloud technologies will be advantageous

Technical Competencies

• Understanding of the architecture frameworks, analytics platforms and data structures used in MultiChoice
• Business and data modelling
• Azure data services and Power BI
• Advanced SQL skills
• Data Warehousing Concepts
• Implementation of Cloud Technology