[Hiring] Senior Data Analyst @Moniepoint

Role Description

• Investigate fraud attacks, quantify their impact, and present clear findings that drive prioritisation and response.
• Propose and refine rule-based mitigations, working with fraud operations and engineering to see them through to implementation.
• Build and maintain reporting and dashboards to monitor fraud trends, rule performance, and key operational metrics.
• Work closely with fraud operations, data scientists, engineers, and product managers to ensure analytical insights translate into action.
• Proactively identify emerging patterns and flag risks before they escalate.

Qualifications

• 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; comfortable writing complex queries to investigate and slice data across large datasets.
• Experience in fraud, risk, or financial services; understanding of how fraud attacks work and how to think about mitigation trade-offs.
• A proactive mindset; ability to spot unusual patterns and 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; ability to communicate findings clearly to fraud operations, product managers, engineers, and senior leadership.
• 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; ability to 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.

Requirements

• Experience with data governance.
• Python or any other scripting language.
• Git or any other version control tool.

Benefits

• Culture: We put our people first and prioritise the well-being of every team member. We value and respect each other and always look out for one another.
• Learning: A learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation: Attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary phone call with the recruiter.
• Technical take-home task (SQL test).
• Technical Interview with hiring manager.
• A behavioural interview with the Head of Data Analytics/Science and Fraud Team.