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Data Analyst.

hace 3 meses

Azcapotzalco, México HSBC Mexico A tiempo completo

Job description

We welcome candidates to apply in both Mexico City & Guadalajara for this role.

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 fulfil their hopes and realize their ambitions.

We are currently seeking an experienced professional to join our team in the role of Data Analyst

Role purpose:

Opening up a world of opportunity – explains why we exist. We’re here to use our unique expertise, capabilities, breadth and perspectives to open up new kinds of opportunity for our more than 40 million customers. We’re bringing together the people, ideas and capital that nurture progress and growth, helping to create a better world – for our customers, our people, our investors, our communities and the planet we all share.

We’re searching for an Analyst to join our Data and Analytics team, this role focused specifically on one of our key areas of need, Lending and Credit Data. The candidate should be a self-motivated and eager to learn individual comfortable working independently or collaboratively with teams across the bank. We use Alteryx for most things and other tools (Python) when they make sense. Our Data Assets are built on GCP, Hadoop, DB2, Teradata and we continuously migrating data assets to Google Cloud Big Query for Analytics and Machine Learning.

Principal accountabilities:

  • Analyze Wholesale Lending and Credit data to create reporting and provide management insights for business decisions
  • Engage with end users and effectively map the data requirements
  • Understand the data sourcing systems landscape, Analyze cross system linkage
  • Produce data assets by blending data across different source systems (Google Cloud BQ, Hadoop, APIs)
  • Analyze and Produce data lineage for analytical platforms and day-to-day business cases
  • Analyze the data and discuss the quality issues and insights with manager
  • Develop Alteryx Workflows and Python for data wrangling and preparation
  • Work collaboratively with various teams across the bank on initiatives to generate financial capital (revenue growth, capital efficiency, cost savings, etc.)