Key Responsibilities
- Data Exploration & Query Development (80%): Design, code, and test fraud lead generation scenarios using advanced tools like SQL, Snowflake, and SAS.
- Analytical Frameworks: Define and execute analytical approaches to evaluate potential Billing & Payments fraud leads.
- Strategic Communication: Collaborate with Fraud Hub leaders, Data Science, and Reporting teams to integrate insights into dashboards and modeling solutions.
- Operational Storytelling: Lead updates for the Monthly Operational Review (MOR), using data-driven storytelling to highlight performance drivers and actionable recommendations.
- Coding Standards & Reusability: Establish best-in-class coding practices, document domain-specific expertise, and promote a “build-once-reuse-many” frameworks.
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Skills & Qualifications
- Bachelor’s degree in a quantitative field such as Finance, Economics, Statistics, Mathematics, Computer Science, or a related discipline.
- Advance English Communication is a must.
- Experience: 5+ years in data analysis, preferably within insurance or financial services.
- Technical Proficiency: Strong command of SQL, SAS, , Snowflake, Excel, Power BI
- Independence & Initiative: Ability to manage complex analyses with minimal direction;
- Project Management: Proven ability to meet deadlines, manage stakeholder expectations, and drive engagement.
- Communication: Excellent collaboration and stakeholder management skills; ability to explain technical concepts to non-technical audiences
Preferred Skills (Plus)
- Financial Acumen: Deep understanding of financial statements, forecasting, and fraud analytics.
- Experience with Billing & Payments data is a strong plus.
- Master’s degree is a plus, especially in Data Science, Business Analytics, or Financial Engineering
Job Type: Permanent
Pay: $60,000.00 - $70,000.00 per month
Work Location: In person