Senior Financial Data Analyst responsible for developing complex reporting for QVC Group. Collaborating with various departments to analyze data and shape business strategies.
About the role
- Senior Data Analyst focused on rail fraud metrics and revenue protection initiatives at Trainline. Collaborating with internal and external partners to deliver timely insights and reporting.
Responsibilities
- Own and track key rail fraud metrics, supporting Trainline’s revenue protection goals.
- Partner with Train Operating Companies (TOCs) and internal stakeholder to support revenue protection initiatives.
- Deliver timely and accurate internal and external reporting on rail fraud trends for senior leadership and industry partners.
- Automate dashboards and reporting tools to streamline analysis.
- Identify trends, anomalies, and emerging rail fraud patterns, working closely with the Train Operating Companies and Trainline Product teams to mitigate risk.
- Ensure compliance with data security and privacy standard
Requirements
- Proficiency in SQL, Python, R, or similar data analysis tools for analytics and visualization.
- Experience using BI and reporting tools such as Tableau or Power BI to create dashboards and reports.
- An understanding of analytical techniques such as segmentation and anomaly detection.
- Some familiarity with data pipelines and cloud platforms (e.g., AWS or Google BigQuery) is a plus.
- Strong communication skills to collaborate effectively with fraud, finance, product, and engineering teams.
- Experience managing data projects with timely delivery.
- Knowledge of regulatory frameworks such as GDPR
- Experience in identifying and mitigating revenue leakage through fraud analytics.
- A strong problem-solving and analytical mindset.
- The ability to present complex data insights clearly to both technical and non-technical audiences.
- Attention to detail when analysing large datasets.
Benefits
- private healthcare & dental insurance
- generous work from abroad policy
- 2-for-1 share purchase plans
- EV Scheme to further reduce carbon emissions
- extra festive time off
- excellent family-friendly benefits
- clear career paths
- transparent pay bands
- personal learning budgets
- regular learning days
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