Decisioning Engineer

Job Purpose
Responsible for assessing, scoping, and/or developing/redeveloping business processes and products for deployment through the DaaS environment. This requires consulting type business engagement to identify appropriate applications for the DaaS environment be scoped, developed, deployed and monitored. This includes collection of requirements for deployment from business, conducting pre deployment analysis of commercial and operational metrics to quantify baseline activity and potential uplift and communication thereof to onboard and upskill stakeholders. Scoped developments will need to be appropriately prioritised and briefed into the team. Performance of deployments must be tested, simulated or modelled, and then monitored to actively drive continuous improvement of existing use cases and drive expanded application of new use cases. The overall output will be a sustainable solution/product that creates measured business value to the respective segments within the group with further potential to the external market.
KPIs
Strategy
Delivering Decisioning as a Service (DaaS)
Business Decisioning and Process Automation, Improvement, Monitoring and Development
Data Gathering and, Curation
Applied Analytics, Modelling and Data Science

Minimum Academic, Professional Qualifications & Experience required for this position
STEM Bachelors degree (Statistics, Mathematics, Engineering, Computer Sciences, and related quantitative fields)
Minimum of 3 years experience in similar role

Functional Competencies
Experience with business process modelling and associated software
Hands-on experience with data management and curation. Experience with databases and data warehouses such as SAP, SQL, Oracle, DB2.
Ability to understand the data sources and extract data as needed
Experience with data modelling tools such as Informatica, SAS, or other open source tools and packages
Understanding of business cases and the concept of ROI
Ability to assess feasibility, viability and impact of projects and associated sub components
Expertise in using Microsoft Office suite (Excel, Word, PowerPoint, outlook)
Experience with Big Data Technologies such as Hadoop, Spark, MapReduce, etc. preferred
Experience with cloud based environments preferred
Understanding of Agile methodologies for rapid development
Ability to visualize data and communicate story