Job Purpose

• You will be responsible for developing and implementing strategies for creating data-driven solutions by understanding business requirements. You will build in-house models by ensuring the availability of high-quality data and actively engaging with stakeholders through discussions and meetings to drive successful delivery.

Education and Experience

Minimum Qualification & Experience Required

• Bachelor’s Degree / Advanced Diploma (NQF 7) AND 8-10 years’ experience in Data Analytics, Data Engineering, Data Science, Statistics/Mathematical Science/Economic Sciences, or Research, of which 3-4 years at a junior specialist level.

Alternative #

• Senior Certificate (NQF 4) AND 15 years’ experience in Data Analytics, Data Engineering, Data Science, Statistics/Mathematical Science/Economic Sciences, or Research, of which 3-4 years at a junior specialist level.

Minimum Functional Requirements

• Experience in Data Engineering / Business Data Intelligence / Data Science
• Advanced (applied theory) technical expertise regarding data processes, data cleaning, analysis, reporting, data models, and database design and testing
• Knowledge of and experience with reporting packages (SQL or equivalent, etc.), databases (SQL, etc.), and programming (SQL, R, Python, etc.)
• Advanced (applied theory) knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, R, etc.).
• Advanced (applied theory) Data warehouse knowledge

Be advanced in the application of:

• Basic Data Migration
• Basic Data Visualization   
• Business Intelligence Methodologies
• Database Knowledge
• Advanced (applied theory) Programming Skills—i.e., SQL and/or Python, R, etc. 
• Microsoft skills (advanced in)—i.e., Excel, Word, PowerPoint, etc.

Job Outputs:

Process

• Analyse and make recommendations about improvements to specialist systems, procedures and associated areas’ practice.
• Analyse and make recommendations about improvements to specialist systems, procedures, policies and practices.
• Conduct assessments and use information to advise, make recommendations and facilitate improvement.
• Constantly monitor the integrity and quality of data and processes to identify deficiencies and facilitate improvement.
• Contribute to the optimum utilisation of org. resources, advising on effective planning and development of area of specialisation resource plans.
• Develop a single practice area in alignment with operational activity and procedural frameworks and ensure tactical implementation.
• Draw on own technical or professional expertise, knowledge and experience to identify and recommend tactical solutions to defined problems in practices.
• Integrate business information, compare, analyse and produce reports to identify trends, discrepancies and inconsistencies for decision-making purposes.
• Note potential problems and obstacles, accumulate supporting data and initiate actions to prevent or overcome predicted problems as may be identified.
• Optimise goal achievement through tactical strategy implementation and optimisation of practises, processes and systems across an internal value chain.
• Plan for value-added, continuous practice and system improvements to deliver on objectives to enhance tactical implementation and excellence.
• Proactively identify interconnected problems, determine their impact and use them to develop the best-fit alternatives and best practice implementation solutions.
• Recommend changes to optimise processes, systems, practice areas and associated procedures and execute the implementation of change and innovation.
• Research and support workable recommendations/solutions that meet business needs through information analysis.
• Review the effectiveness of related approaches and methodologies by conducting research and best practice benchmarking initiatives.
• Translate top-down policy, apply modification in relation to your own practice area and communicate impact to relevant stakeholders.
• Undertake information gathering and research and analyse data within broad guidelines to produce accurate plans and/orrecommendations for business issues.
• Undertake information gathering, research and analysis of data within broad guidelines to produce accurate plans & or recommendations for business issues.
• Acquire data from primary or secondary data sources and maintain databases, applying the knowledge of data extraction, transformation and business modelling.
• Perform complex/advanced business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modelling, and data mining.
• Design, develop and test complex/advanced data analytics solutions like Reports, Dashboards, Analysis, Extracts, Models, etc.
• Identify, analyse and interpret trends and patterns in complex/advanced data sets, based on data findings.

Governance

• Develop and/oralign governance and compliance policies for your own practice area to identify and manage risk exposure liability.

People

• Integrate new knowledge and transfer skills attained through formal and informal learning opportunities in the execution of your job.
• Provide specialist know-how, support, advice and practice thought leadership in the area of expertise.

Finance

• Implement and monitor financial control, management of costs and corporate governance in the area of specialisation.

Client

• Develop and ensure implementation of a practice that builds service delivery excellence and encourages others to provide exceptional stakeholder service.
• Participate in the specialist practice community and contribute positively to organisation knowledge management.
• Provide authoritative, specialist expertise and advice to internal and external stakeholders.

Behavioural Competencies

• Fairness and Transparency
• Analytical Thinking
• Adaptability
• Commitment to Continuous Learning
• Accountability
• Conceptual Ability
• Expertise in Context
• Trust
• Respect
• Honesty and Integrity
• Problem Solving and Analysis
• Analytical Thinking
• Attention to Detail
• Organisational Awareness

Technical Competencies

• Functional Policies and Procedures
• Data Integrity
• Data Collection and Analysis
• Efficiency Management
• Data Analytics
• Data Governance 
• Statistical and Mathematical Analysis
• Business Knowledge
• System Thinking
• Reporting
• Knowledge Management
• Information Management