Proven experience as a Data Analyst (Fraud), or a similar role (4+ years, can be made up for with accomplishments)
Strong problem solving skills
Advanced proficiency with SQL — you're comfortable writing complex queries to investigate and slice data across large datasets
Experience in fraud, risk, or financial services; you understand how fraud attacks work and how to think about mitigation trade-offs
A proactive mindset — you don't wait to be asked; you spot something unusual and you dig in
Some exposure to Python or scripting for data manipulation and analysis
Proficiency with a BI tool (PowerBI, Looker, Tableau, Superset, Redash, or any other alternative)
Strong stakeholder management skills; you can communicate findings clearly to fraud operations, product managers, engineers, and senior leadership — and you know how to influence decisions with data across all of them
Comfort working in fast-paced, cross-functional teams where priorities shift quickly
Proficiency with a spreadsheet tool (Microsoft Excel or Google Sheets, or any other alternative)
Enjoy autonomy and a flat structure: we have millions of customers and a flat hierarchy so any individual can have an outsized impact
Excellent written and verbal communication skills
A drive to learn and master new technologies and techniques
A bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field
Experience with the following would be a plus
Data governance
Python or any other scripting language
Git or any other version control tool
GK
This is a preview of the role
Sign in to your GoKazini account to see the company name, full job details, salary information, and how to apply.