Data Analyst II at Capitec Bank

What you'll do

• Build and maintain dashboards and automated reports that track programme performance, client engagement and redemption behaviour across Live Better Rewards
• Conduct post-campaign analysis to quantify business impact, measure behavioural change and help the team understand what's driving results
• Perform audience selection and targeting — making sure the right clients get the right rewards and campaigns at the right time
• Analyse client and merchant data to identify new partnership opportunities and improve the rewards proposition
• Generate insights that shape Rewards strategy, campaign design, client journeys and future investment decisions
• Work with data engineering, finance and marketing to understand what the business needs — and answer it with data  

Our team

• The Rewards Insights & Analytics team is the data and decision-support function behind Live Better Rewards. We combine business intelligence, analytics and strategic insight capabilities, and work closely with data engineering to build the foundations that power everything from reporting to redemption. 
• Live Better Rewards has been ranked the best Financial Service Loyalty Programme for mass market consumers in 2024/5 by the Truth and BrandMapp Loyalty Whitepaper — and with over 6.5 million active users across more than 30 retail and service partners, it's one of South Africa's most active rewards programmes. When the analysis is right, our clients get better rewards. When it's not, we find out fast. 

Why this role is different

• Your insights shape live decisions — campaign design, partner selection, client journeys and where we invest next
• You'll work with one of the richest client data sets in South African retail banking — real behaviour, at real scale
• You'll have reach across the business: working with marketing, finance, data engineering and the Rewards team directly
• We have a high internal promotion rate — if you are a self-starter who takes initiative, the opportunities for growth here are real

What we're looking for
Minimum Experience: 

• More than 4 years experience in data analysis, with a significant portion in financial services or banking
• A track record of leading data analysis projects that deliver measurable business impact
• Hands-on experience with SQL, Python or R — and visualisation tools like Tableau or Power BI
• Experience working with and presenting findings to cross-functional teams and non-technical stakeholders
• An understanding of financial products, industry regulations and their effect on data analysis  Of commun

Qualifications (Minimum)

• Bachelor's Degree in Analytical/Data/Technical or Other

Qualifications (Ideal or Preferred)

• Honours Degree in Analytical/Data/Technical or Other

Knowledge

• Advanced SQL — complex queries, query optimisation and large data sets
• Python or R, including data manipulation libraries (pandas, numpy) and visualisation libraries (matplotlib, seaborn)
• Statistical methods and predictive analytics applied to financial data
• Data modelling and risk analysis in a financial services context
• Advanced Excel, including macros and VBA 

Skills

• Analytical Skills
• Communications Skills
• Problem solving skills
• Project Management Skills (Methodolgy Specific)