We’re initiating a search for a Senior Data Analyst to support a leading insurance provider committed to innovation and excellence.
This role is ideal for someone who thrives in a fast-paced, analytical environment and is passionate about using data to drive fraud prevention strategies. playing a key role in developing fraud lead generation scenarios, partnering with cross-functional teams, and delivering insights that shape strategic decisions.
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” framework.
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: Full-time
Pay: $60,000.00 - $70,000.00 per month
Experience:
- insurance or financial services: 5 years (Required)
- Fraud: 5 years (Required)
- Billing & Payments data : 4 years (Required)
- financial statements: 5 years (Required)
- fraud analytics: 5 years (Required)
- SAS: 5 years (Required)
- SQL: 5 years (Required)
- Snowflake: 5 years (Required)
Work Location: In person
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