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Business Analyst Data

HSBC

Paris, Île-de-France, FranceOn Site

Original Job Summary

About Business Analyst Data at HSBC

At HSBC, our purpose is opening up a world of opportunity. Join our team in France and help evolve and grow our business.

What You Will Do

Wholesale Data Analytics & CRM seeks experienced Business Analysts to work on the end-to-end flow of diverse analytics use cases. In this role, you will:

  • Gather requirements and document solution designs.
  • Document and execute test scenarios for various changes.
  • Support change management activities including planning and training.
  • Facilitate effective data analysis, migration and process changes.
  • Assess operational risks and adhere to compliance controls.

Requirements

The ideal candidate will have:

  • Minimum 3 years of relevant business analysis experience.
  • Expertise in Banking, Corporate Credit Risk, Audit or Consulting.
  • Experience in data & analytics with SQL, ETL, GCP, and Hadoop.
  • Familiarity with Python, Jupyter Notebook, Pandas, and related tools is preferred.
  • Strong stakeholder management and project management skills.

What You’ll Get In Return

HSBC offers a flexible remote working agreement, inclusive benefits, and a supportive environment. Enjoy perks including transport fee refunds, paid vacation, family benefits, financial savings plans, and access to world-class training and development programs.

Key skills/competency

  • Business Analysis
  • Data Analytics
  • Change Management
  • SQL
  • ETL
  • GCP
  • Hadoop
  • Stakeholder Management
  • Risk Assessment
  • Agile

How to Get Hired at HSBC

🎯 Tips for Getting Hired

  • Customize your resume: Align experience with HSBC requirements.
  • Highlight analytics skills: Emphasize SQL, ETL, and GCP expertise.
  • Research HSBC culture: Understand their inclusive values and benefits.
  • Prepare for interviews: Practice behavioral and technical questions.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL queries and joint operations.
Review ETL processing techniques and data migration.
Familiarize with GCP and Hadoop basics.
Update knowledge on Python data libraries.

Behavioral Questions

Explain past project challenges successfully overcome.
Describe a time managing conflicting stakeholder demands.
Discuss how you handle change implementation.
Outline teamwork in high-pressure situations.