Senior Data Analyst

Descripción de la empresaEn EXL, somos más que un socio digital; somos un colaborador que se adapta a tus necesidades únicas, cultura y objetivos.

Nos especializamos en soluciones personalizadas que optimizan el uso de datos para mejorar la toma de decisiones y aumentar la inteligencia operativa digital.

Nuestro enfoque incluye la escalabilidad del uso de IA, rediseño de modelos operativos y la toma de decisiones más rápida y eficiente.

Con nuestra expertise en transformación, ciencia de datos y gestión del cambio, potenciamos tu negocio para crecer y superar a la competencia.Senior Data Analyst – Finance (Fraud Analytics) Location : Mexico City (Hybrid) Industry : InsuranceWe're seeking a Senior Data Analyst to support a leading insurance provider known for its commitment to innovation and excellence.

This role is ideal for someone who thrives in dynamic, fast-paced environments and excels at translating complex, ambiguous data into actionable insights.

You'll be instrumental in shaping fraud prevention strategies, managing diverse stakeholder relationships, and driving cross-functional collaboration.

Key ResponsibilitiesFraud Scenario Development (80%) : Design, code, and test fraud lead generation scenarios using SQL, Snowflake, and SAS, often in ambiguous or evolving data environments.Analytical Strategy : Define and execute analytical frameworks to evaluate potential Billing & Payments fraud leads, adapting to shifting priorities and incomplete data.Stakeholder Engagement : Partner closely with Fraud Hub leaders, Data Science, and Reporting teams to align insights with business goals and ensure seamless integration into dashboards and models.Operational Storytelling : Lead Monthly Operational Review (MOR) updates, using data-driven narratives to communicate performance trends and strategic recommendations to senior stakeholders.Coding Standards & Knowledge Sharing : Promote best-in-class coding practices, document domain expertise, and champion reusable analytics solutions across teams.

Skills & QualificationsEducation : Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related field.Experience : 5+ years in data analysis, preferably within insurance or financial services.Technical Proficiency : Strong command of SQL, SAS, SnowflakeAmbiguity Navigation : Proven ability to work through unclear problem statements and incomplete data to deliver meaningful insights.Stakeholder Management : Exceptional collaboration and communication skills; able to manage expectations, influence decisions, and translate technical findings for non-technical audiences.Project Ownership : Demonstrated ability to lead initiatives, meet deadlines, and drive cross-functional engagement.

Preferred Skills (Plus)Financial Acumen : Strong understanding of financial statements, forecasting, and fraud analytics.Domain Expertise : Experience with Billing & Payments data is a strong plus.Advanced Education : Master's degree in Data Science, Business Analytics, or Financial Engineering is a plus.