**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 mínimal 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
**Prefered 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 Types**: Full-time, Permanent
Pay: $60,000.00 - $70,000.00 per month
**Experience**:
- Data Analyst : 5 years (required)
- SAS: 5 years (required)
- SQL: 5 years (required)
- Snowflake, Excel, Power BI: 5 years (required)
- Billing & Payments data : 5 years (required)

📌 Data Analyst (Zacatecas)
🏢 Gennte Technologies
📍 Zacatecas