Customer Insights & Revenue Protection Analyst

Luas; Dublin; On-site; EUR 45,000 - 65,000; Full time

Job summary

KeolisAmey Luas is seeking a Customer Analyst to provide management information for the Customer Directorate. You will support frontline teams to ensure ticket compliance, minimize anti-social behaviour, and drive customer experience metrics across the Luas network.

In this role, you will analyse trends, performance data and surveys, identify revenue leakage, and help develop predictive models to mitigate risks. Strong data skills and GDPR awareness are essential.

Qualifications

• Evidence of analytical skills and applying them to business.
• Proficiency in Excel, Power BI and visualization tools.
• Experience interpreting large datasets and reporting insights.

Responsibilities

• Analyse customer trends including fare evasion, ticket inspection and revenue recovery performance and compliance.
• Analyse data from surveys, performance reports, operations logs and AFCS.
• Identify patterns of fraudulent travel, customer demographics and revenue leakage.
• Support deployment planning to improve frontline Revenue Protection and Security teams.
• Monitor effectiveness of activities and recommend improvements.
• Produce KPIs reports for senior stakeholders including the Head of Revenue Protection & Security.
• Contribute to revenue forecasting and business case development.
• Develop predictive models for fare evasion and customer satisfaction risks.
• Ensure data accuracy and GDPR compliance.

Skills

Data analytics

Advanced Excel

Statistical analysis

Problem solving

Data interpretation

Tools

Power BI

Tableau

Microsoft Fabric

Excel

Job description

KeolisAmey Luas is seeking a Customer Analyst to provide management information for the Customer Directorate. You will support frontline teams to ensure ticket compliance, minimize anti-social behaviour, and drive customer experience metrics across the Luas network.

In this role, you will analyse trends, performance data and surveys, identify revenue leakage, and help develop predictive models to mitigate risks. Strong data skills and GDPR awareness are essential.