Banking Data Analyst - Insights, Automation & Impact in London

Banking Data Analyst - Insights, Automation & Impact in London

London Full-Time 45000 - 55000 Β£ / year (est.) No working from home possible
Jpmorgan Chase & Co.

At a Glance

  • Tasks: Analyse data and create impactful reports using SQL, R, Python, and Excel.
  • Company: Join JPMorgan Chase & Co., a leader in the banking industry.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on continuous improvement.
  • Why this job: Make a real impact by driving business decisions through data insights.
  • Qualifications: Strong analytical skills and experience with data tools are essential.

The predicted salary is between 45000 - 55000 Β£ per year.

JPMorgan Chase & Co. is seeking a professional data analyst in Greater London. The role requires strong analytical, technical, and problem-solving skills using tools like SQL, R, Python, and Excel. You will research, analyze, and prepare information for reporting, collaborate on data visualization, and support continuous improvement initiatives.

The ideal candidate should have attention to detail and strong communication skills, essential for driving effective business decisions.

Banking Data Analyst - Insights, Automation & Impact in London employer: Jpmorgan Chase & Co.

JPMorgan Chase & Co. is an exceptional employer that fosters a dynamic work culture in Greater London, where innovation and collaboration thrive. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to diversity and inclusion, making it a rewarding place for those looking to make a meaningful impact in the banking sector.

Jpmorgan Chase & Co.

Contact Details:

Jpmorgan Chase & Co. Recruitment Team

We think you need these skills to ace Banking Data Analyst - Insights, Automation & Impact in London

Communication Skills
Python
SQL
Problem-Solving Skills
Automation
Attention to Detail
Data Engineering