Expired on: Nov 30, 2022
| ROLE PROFILE Job Title | Future Data Analyst (Data Solution Lead) |
| Job Grade | VP |
| Business Area | Data Engineering |
| Job Type (Middle, Back, Front) | Back |
| Role this role reports to | Solutions Engineer |
| Risk Category for Anti-Money Laundering: | Basic |
| Risk Category for Sanctions: | Minimum |
| Risk & Control Objective: | Ensure that all activities and duties carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal AGL Policies and Policy Standards. Understand and manage risks and risk events (incidents) relevant to the role. |
| SAP Position Job Code ID Number | |
| Date of completion |
| Overall Job Purpose | This role is responsible for providing the analysis and design for information solutions to various business areas and the integration into the Data Warehouse. This includes the creation of the user requirements into technical specifications and design documents, as well as the possible identification of new data sources to the Data Warehouse. Enable a Collaborative Partnership with business that drives an End-to-End Solution Delivery. Working with Data Architects and Engineering teams to define the technical direction / solutions for the business. |
| Key Accountabilities | Accountability: Elicit/review requirements from business units Continuous Delivery EngagementDrive Adoption of Solutions Design ConceptsDrive Business Enablement (Recruitment / Coaching)Partner with Business to Drive a Post Implementation / Delivery Support Model |
| Role / Person Specification | Education Required BSc (Eng or Comp Science or Information Systems) or BCom (Informatics) or equivalent NQF level 6 qualification Experience Required: > 5 years Technical Experience (Knowledge and Exposure would be beneficial)> 5 years Analysis Experience Hard Skills: Understand Core Modelling Principles (Logical and Physical)Knowledge of the IT trends, Data Warehouse and Data Architecture principles, practices and standardsTo understand and apply concepts such as: Relational Data Structures, Entity-Relationship and Object Modeling, Data Warehouse / MartsRead / Understand Code of any LanguageWrite queries of any Language (Preferably SQL / Scala)Problem solving and analytical skillsUnderstand / unpack the end-to-end flow data (process) and impact due to changes in data across the value chain of the data (From Cotton-to-Cash) ie. High Level Data Flow Diagrams, Source-to-Target mappings etc.Ability to vary the depth of analysis from High Level (Rapid) to detailed analysis)Conceptual understanding of Data Visualization / Data VirtualizationJAD FacilitationsDocument and unpack Business Data Requirements through continuous Business and Tech Engagement Communication Skills (Verbal, Written) |
Job Type: Full Time
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