Credit & Lendings Senior Data Analyst

HSBC; Ciudad de México; Presencial; USD 30,000 - 45,000; Jornada completa

Descripción de la vacante

HSBC is seeking a Senior Data Analyst for its Global Service Center, specializing in Lending and Credit Data. The role involves analyzing data to support business decisions, utilizing tools like Alteryx and Python. Ideal candidates are self-motivated individuals who can work independently and collaboratively in a data-driven environment.

Formación

• Self-motivated with a focus on Lending and Credit Data.
• Experience in data processing using Alteryx and Python.
• Comfortable with data analysis and producing management insights.

Responsabilidades

• Analyze Wholesale Lending and Credit data to create reports.
• Develop workflows and scripts for data processing.
• Collaborate with teams to generate financial capital.

Conocimientos

Data Analysis

Alteryx

Python

Communication

Descripción del empleo

If you’re looking for a career where you can make a real impression, join Global Service Center (GSC) HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfill their hopes and realize their ambitions.

We are currently seeking an experienced professional to join our team in the role of Credit & Lendings Senior Data Analyst.

Role Purpose:

We’re searching for an Analyst to join our Data and Analytics team, focusing specifically on Lending and Credit Data. The candidate should be a self-motivated and eager learner, comfortable working independently or collaboratively across the bank. We primarily use Alteryx and Python for data processing. Our Data Assets are built on GCP, Hadoop, DB2, Teradata, and are migrating to Google Cloud BigQuery for Analytics and Machine Learning.

Main Activities:

• Analyze Wholesale Lending and Credit data to create reports and provide management insights for business decisions.
• Engage with end users to effectively map data requirements.
• Understand the data sourcing systems landscape and analyze cross-system linkages.
• Produce data assets by blending data across different source systems (Google Cloud BQ, Hadoop, APIs).
• Analyze and produce data lineage for analytical platforms and daily business cases.
• Discuss data quality issues and insights with managers.
• Develop Alteryx workflows and Python scripts for data wrangling and preparation.
• Collaborate with various teams across the bank on initiatives to generate financial capital (revenue growth, capital efficiency, cost savings, etc.).