Gather, manipulate and analyze data from different sources using advanced techniques and tools (such as Power BI and Azure) to generate insight in support of initiatives that create business impact in line with overall business strategy, objectives and needs, Group guidelines and policies
Connect a thorough understanding of business needs, state-of-the-art analytics techniques, and effective dashboard design to drive real business value
Key Accountabilities:
Drive the definition of project contents, deliverables and timelines of data analytics projects, usually of a descriptive or diagnostic nature
Support predictive / prescriptive data analytics use cases through data preparation and basic programming (mapping, cleansing, exploratory analysis) and feature engineering
Gather and analyze data from different sources to inform business decisions, support process reviews and drive actionable insights
Apply mathematics and statistics to discover patterns and knowledge in recorded data
Build data models, analyses, and dashboards e.g. in Power BI
Develop analytics product prototypes and user front-ends (e.g. in PowerBI) for (executive) decision makers
Support dashboard expertise in the business by supporting training, coaching and sparring initiatives
Liaise and coordinate with all relevant parties e.g. data owners, data scientists, data engineers and other technical personnel across functions, as well as the respective user community and business decision makers to share best practices
Qualifications & Experience:
Matric
Bachelor’s Degree or equivalent experience/qualification