Capitec Bank is a South African commercial bank. As of February 2017 the bank was the third largest in South Africa with 120,000 customer opening new accounts per month.
To simplify banking, we’ve developed an all-inclusive banking solution. Global One is the one solution that enables you to transact, save and access credit in realtime. We also believe in ...
To build value for the product line by solving client and business challenges using data. To utilise data and analytical skills and experience to build insights which enable senior decision makers to make better, informed decisions faster.
Knowledge and Experience
Minimum Experience
Tertiary qualification in Computer Science, Information Systems , IT or equivalent.
Experience in tactical and strategic planning: Ability to contribute to both short-term (tactical) and long-term (strategic) planning initiatives within the business intelligence or product environment.
Demand and supply planning: Experience in analysing, forecasting, and planning for demand and supply, including the use of data to support resource or capacity planning decisions.
Experience in presenting to senior and executive stakeholders: Proven ability to prepare and deliver clear, concise, and impactful presentations to senior management and executive-level audiences, translating complex data insights into actionable business recommendations.
Experience contributing to S&OP processes: Involvement in Sales & Operations Planning (S&OP), including providing data-driven insights, demand and supply forecasts, and supporting cross-functional alignment between various business areas.
At least 3 years’ experience as Business Intelligence Analyst or equivalent (data analyst etc.) including experience in data analytics, BI methods and tools, data warehousing and the data life cycle.
Experience in identifying, quantifying, and subsequently delivering value on how to solve business challenges using data
Experience with stakeholder engagement
Experience in working with data on cloud platforms, such as AWS or Microsoft Azure
Experience in building data visualisations using tools such as Power BI
Experience of using SQL to prepare and analyse data
Knowledge:
Knowledge and basic experience in using low/no code AutoML on modelling tools such as Power BI or AWS Sagemaker
Design thinking
Dimensional Modelling
The Data Product Life Cycle (DPLC)
Knowledge of data privacy and security regulations and best practices
Knowledge and understanding of data quality and incident management
Knowledge and experience of agile project management methodology
Ideal:
Previous experience working in business analysis in the banking sector
Knowledge of change management principles and practices
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