Job Purpose

• To provide operational and analytical support in order to manage data quality management.

Minimum Qualification & Experience Required

Education and Experience

• Bachelor’s Degree / Advanced Diploma (NQF 7) in Data Analytics, Data Engineering, Data Science or Statistics with 2 – 3 years’ experience in a Data Analysis environment, of which 1 – 2 years at knowledge worker level.

Alternative #

• Senior Certificate (NQF 4) and 5 years related experience in a Data Analysis environment, of which 1 – 2 years at knowledge worker level.

Job Outputs:

Process

• Use evaluative frameworks, behavioural experimentation methodologies, theory construction and model building skills to facilitate evidence-based product and design decisions.
• Accumulate information and provide reports with recommendations applicable to area of specialisation.
• Apply practical and applied knowledge and act authoritatively on methods, systems and procedures to identify trends and potential risks.
• Be observant and engage on possible violations of procedures and standards of conduct and escalate where necessary.
• Collect and collate data, analyse information and provide reports and recommendations.
• Communication of situational interpretation and judgement of work outputs and queries in area of specialisation.
• Correctly apply applicable legislation, including amongst others policies, procedures, and SOP’s in the delivery of work outputs.
• Effectively plan and schedule own activities to continuously improve quality and service delivery in area of specialisation.
• Execute process and procedural change, implement the change and provide guidelines and support related to new requirements as a result of the change.
• Identify and resolve queries and problems timeously, apply discretion in line with process guidelines provided.
• Provide specialist input through the investigation of opportunities for operational and process product and risk optimisation.

Governance

• Comply to set governance and compliance procedures and processes related to an area of specialisation and continuously identify and escalate risks.
• Ensure that completed work adhere to relevant policies, procedures, governance and legislative requirements and report on deviations and discrepancies.

People

• Develop and maintain productive working relationships with peers and team members to achieve predefined objectives.

Finance

• Adhere to organisational policies and procedures to ensure cost effectiveness and reduction of financial costs

Client

• Contribute to a culture of service excellence, which builds positive relationships and provides opportunity for feedback and exceptional service. 
• Ensure own understanding and adherence to customer service delivery and provide specialist support to meet or exceed customer expectations.

Behavioural Competencies

• Accountability
• Attention to detail
• Analytical Thinking
• Commitment to Continuous Learning
• Conceptual Thinking
• Fairness and Transparency
• Honesty and Integrity
• Organisational Awareness
• Respect
• Trust

Technical Competencies

• Business Knowledge
• Data Analysis
• Data Collection and Analysis
• Data Management
• Efficiency Improvement
• Functional Policies and Procedures
• Reporting