Data Analyst
hace 7 días
**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, PermanentPay: $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)
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