Este es un puesto de trabajo remoto.
We are seeking a Senior Data Analyst with advanced expertise in SQL and Power BI and a strong background in consumer finance analytics or financial services. This role is pivotal in analyzing consumer loan portfolios delivering insights into lending business performance and driving data-informed decision-making across the organization.
The ideal candidate is comfortable working with large datasets building intuitive dashboards and collaborating cross-functionally with finance operations risk and executive leadership.
Key Responsibilities
Develop maintain and optimize Power BI dashboards and reports to monitor portfolio performance loan servicing and collections.
Analyze consumer lending portfolios including client-level credit performance delinquencies repayment trends and yield optimization.
Deliver actionable insights to leadership on risk profitability and growth opportunities.
Partner with operations finance and strategy teams to design KPIs and performance metrics for business units.
Conduct ad hoc analyses to support executive decision-making deal evaluations and new product launches.
Ensure data accuracy governance and consistency across reporting systems.
Mentor junior analysts and promote best practices in BI analytics and data storytelling.
Requisitos
Bachelors degree in Finance Economics Statistics Data Analytics or a related field.
5 years of experience in data analytics including 2 years in consumer finance lending or financial services.
Proven expertise in Power BI (DAX Power Query data modeling and visualization best practices).
Strong proficiency in SQL and relational databases; experience with Python R or Rust is a plus.
Interest in applying emerging AI tools for data analysis.
Excellent communication and presentation skills with the ability to translate complex data into clear actionable insights for senior leadership.
Required Skills:
Python. Django. REST Framework (DRF). GraphQL. PostgreSQL. Arquitectura de microservicios. Celery. FastAPI. Testing automatizado (Pytest u otros). Docker. Kubernetes. AWS (nivel básico a intermedio). SQL y NoSQL. Arquitectura limpia. Gestión de eventos (Event-driven architecture). Jira (gestión de tareas). Metodologías ágiles (Scrum).
Required Education:
Requisitos:Experiencia mínima de 5 años en desarrollo backend con Python y de GraphQL REST Framework y desarrollo de APIs en FastAPI Celery y arquitectura con bases de datos SQL y NoSQL especialmente en arquitecturas de microservicios y gestión de básicos en Docker Kubernetes y implementando pruebas con metodologías ágiles (Scrum).
Este es un puesto de trabajo remoto. We are seeking a Senior Data Analyst with advanced expertise in SQL and Power BI and a strong background in consumer finance analytics or financial services. This role is pivotal in analyzing consumer loan portfolios delivering insights into lending business ...
Este es un puesto de trabajo remoto.
We are seeking a Senior Data Analyst with advanced expertise in SQL and Power BI and a strong background in consumer finance analytics or financial services. This role is pivotal in analyzing consumer loan portfolios delivering insights into lending business performance and driving data-informed decision-making across the organization.
The ideal candidate is comfortable working with large datasets building intuitive dashboards and collaborating cross-functionally with finance operations risk and executive leadership.
Key Responsibilities
Develop maintain and optimize Power BI dashboards and reports to monitor portfolio performance loan servicing and collections.
Analyze consumer lending portfolios including client-level credit performance delinquencies repayment trends and yield optimization.
Deliver actionable insights to leadership on risk profitability and growth opportunities.
Partner with operations finance and strategy teams to design KPIs and performance metrics for business units.
Conduct ad hoc analyses to support executive decision-making deal evaluations and new product launches.
Ensure data accuracy governance and consistency across reporting systems.
Mentor junior analysts and promote best practices in BI analytics and data storytelling.
Requisitos
Bachelors degree in Finance Economics Statistics Data Analytics or a related field.
5 years of experience in data analytics including 2 years in consumer finance lending or financial services.
Proven expertise in Power BI (DAX Power Query data modeling and visualization best practices).
Strong proficiency in SQL and relational databases; experience with Python R or Rust is a plus.
Interest in applying emerging AI tools for data analysis.
Excellent communication and presentation skills with the ability to translate complex data into clear actionable insights for senior leadership.
Required Skills:
Python. Django. REST Framework (DRF). GraphQL. PostgreSQL. Arquitectura de microservicios. Celery. FastAPI. Testing automatizado (Pytest u otros). Docker. Kubernetes. AWS (nivel básico a intermedio). SQL y NoSQL. Arquitectura limpia. Gestión de eventos (Event-driven architecture). Jira (gestión de tareas). Metodologías ágiles (Scrum).
Required Education:
Requisitos:Experiencia mínima de 5 años en desarrollo backend con Python y de GraphQL REST Framework y desarrollo de APIs en FastAPI Celery y arquitectura con bases de datos SQL y NoSQL especialmente en arquitecturas de microservicios y gestión de básicos en Docker Kubernetes y implementando pruebas con metodologías ágiles (Scrum).
View more
View less
Job Location:
Monthly Salary:
Experience Required:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
