Senior Data Analyst, Commercial

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Requirements:

• 5+ years of experience working in data analytics, ideally within finance, payments, or fraud prevention.
• Strong proficiency in SQL with the ability to perform advanced analyses and provide clear, impactful insights.
• Experience with data visualization tools such as Tableau, Power BI, Looker, or Sigma.
• A track record of supporting internal stakeholders, ideally in areas like finance, accounting, fraud prevention, or payments.
• Experience working with transaction-level data, analyzing customer behavior, and identifying patterns related to fraud or payment performance.
• Excellent analytical and problem-solving skills, with an ability to adapt to a fast-paced environment and focus on delivering results.
• Strong communication skills and a collaborative mindset to partner effectively with cross-functional teams.

Responsibilities:

• Developing and maintaining critical reporting and performance metrics for fraud, payments, finance, and accounting teams.
• Analyzing business and customer data to identify key trends, investigate root causes, and inform decision-making.
• Building dashboards and data visualizations to communicate insights and performance trends to stakeholders across multiple teams.
• Analyzing transactions and customer behavior to identify fraudulent activity, suspicious patterns, and opportunities to reduce payment processing issues.
• Conducting root cause analysis on fraud cases and payment failures, helping to uncover areas for improvement in processes and systems.
• Partnering with internal teams to develop data-driven strategies that help optimize payment workflows, improve fraud detection accuracy, and reduce operational risks.