Job Purpose<\/p>\n
\tThe purpose of the Specialist: Data Analytics (Data Engineer) role is to analyse data and prepare it in such a way to achieve business objectives. This involves monitoring data integrity, identifying deficiencies, and recommending improvements. The role requires integrating business information, producing reports, and developing tactical solutions to enhance processes and systems. The specialist will also conduct research, benchmark best practices, and translate policies to ensure continuous improvement and effective decision-making.<\/p>\n
Education and Experience<\/p>\n
Minimum Qualification & Experience Required<\/p>\n
\tRelevant Bachelor’s Degree \/ Advanced Diploma (NQF 7) preferably in Statistics, Mathematics, Engineering, Computer Science, Data Science or related qualification AND 8 – 10 years’ experience within a Data Analytics environment of which 3 – 4 years at a junior specialist level.<\/p>\n
Alternative<\/p>\n
\tSenior Certificate (NQF 4) with 15 years of related experience within a Data Analytics environement.<\/p>\n
Minimum Functional Requirements<\/p>\n
\tAdvanced experience in Data Engineering \/ Business Data Intelligence
\n\tExpert technical expertise regarding the end-to-end machine learning lifecycle, with the ability to create Data pipelines or Datasets as inputs to ML models.\u00a0
\n\tAdvanced applied knowledge of, and experience with, Data tools and platforms (SQL with SSIS and SSAS experience or equivalent, etc.)
\n\tExpert applied knowledge of Data Engineering, Data Lineage
\n\tAdvanced applied knowledge and experience with Mathematics and\/or Statistics
\n\t\u00a0<\/p>\n
Job Outputs:<\/p>\n
Process<\/p>\n
\tAnalyse and make recommendations about improvements to specialist systems, procedures and associated areas practice.
\n\tConduct assessments and use information to advise, make recommendations and facilitate improvement.
\n\tConstantly monitor the integrity and quality of data and processes to identify deficiencies and facilitate improvement.
\n\tDevelop a single practice area in alignment with operational activity and procedural frameworks and ensure tactical implementation.
\n\tDraw on own technical or professional expertise, knowledge and experience to identify and recommend tactical solutions to defined problems in practices.
\n\tIntegrate business information, compare, analyse and produce reports to identify trends, discrepancies and inconsistencies for decision making purposes.
\n\tNote potential problems and obstacles, accumulate supporting data and initiate actions to prevent or overcome predicted problems as may be identified.
\n\tOptimise goal achievement through tactical strategy implementation and optimisation of practises, processes and systems across an internal value chain.
\n\tPlan for value-added, continuous practice and system improvements to deliver on objectives to enhance tactical implementation and excellence.
\n\tProactively identify interconnected problems, determine its impact and use them to develop best-fit alternatives and best practice implementation solutions.
\n\tResearch and support workable recommendations\/solutions that meet business needs through information analysis.
\n\tReview the effectiveness of related approaches and methodologies by conducting research and best practice benchmarking initiatives.
\n\tTranslate top-down policy in relation to own practice area and communicate impact to relevant stakeholders.
\n\tUndertake information gathering, research, and analyse data within broad guidelines to produce accurate plans and \/ or recommendations for business issues.<\/p>\n
Governance<\/p>\n
\tDevelop and\/or align governance and compliance policies for own practice area to identify and manage risk exposure liability.<\/p>\n
People<\/p>\n
\tProvide specialist know-how, support, advice, and leadership in the area of expertise.<\/p>\n
Finance<\/p>\n
\tImplement and monitor financial control, management of costs, and corporate governance in the area of specialisation.<\/p>\n
Client<\/p>\n
\tParticipate in the specialist practice community and contribute positively to organisation knowledge management.
\n\tProvide authoritative, specialist expertise and advice to internal and external stakeholders.<\/p>\n
Behavioural competencies<\/p>\n
\tAccountability – Manages and evaluates the activities of self, others, and the business area
\n\tAdaptability – Applies rules flexibly
\n\tAnalytical Thinking – Sees multiple relationships
\n\tAttention to Detail – Monitors work product
\n\tCommitment to Continuous Learning – Keeps current with customers business
\n\tFairness and Transparency – Management and review
\n\tHonesty and Integrity – Work to build commitment and engagement to improve the behaviour
\n\tOrganisational Awareness – Directs and guides organisational culture and practices towards realising business results
\n\tProblem Solving and Analysis – Tactical analysis
\n\tRespect – Constructive engagement
\n\tTrust – Displays strong levels of commitment and trust<\/p>\n
Technical competencies<\/p>\n
\tData Management (Data Collection, Cleansing and wrangling, Data Pipelines, Data Principles, Performance Optimisation and Big Data Technologies.)
\n\tExperience and application of MLOps would be beneficial
\n\tBusiness Knowledge (Ability to understand a business problem and how to solve with data)
\n\tCreative and Innovative thinking
\n\tEfficiency improvement<\/p>\n
Functional Policies and Procedures<\/p>\n
\tPolicy Development
\n\tReporting
\n\tComputer Literacy
\n\tData Collection and Analysis
\n\tData \u00a0Integrity
\n\tStatistical and Mathematical Analysis
\n\tSystem Thinking
\n\t\u00a0<\/p>\n
go to method of application \u00bb<\/p>\n
Apply via company website ( ) or<\/p>\n
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