Data Analyst jobs in United States

At AXA IM, we act for human progress by investing for what matters, actively and responsibly. Join us to build a career in a diverse, entrepreneurial organization committed to tackling global challenges and exploring innovative ideas for long-term prosperity.

AXA Investment Managers (AXA IM) is a responsible asset manager investing long-term to benefit clients, employees, and society. Managing €817 billion in assets as of September 2022, we focus on uncovering top investment opportunities across asset classes.

We are leaders in green, social, and sustainable markets, managing €502 billion of ESG-integrated assets. Our commitment includes reaching net zero greenhouse gas emissions by 2050 and embedding ESG principles into all aspects of our business, from stock selection to corporate culture.

With over 2,600 employees across 26 offices in 19 countries, AXA IM is part of the AXA Group, a global leader in insurance and asset management.

AXA IM Prime is our private assets platform, offering investments in private equity, infrastructure equity, private debt, and hedge funds. We provide diversified private market returns through various investment strategies, partnering with top fund managers to support sustainable growth.

Our team of experienced professionals manages EUR 30 billion in alternative assets, with EUR 5 billion planned for deployment over the next three years.

• Support the data team in analyzing financial and operational data.
• Design and develop automated reporting tools, including Streamlit applications and report generation.
• Automate data collection and processing, including OCR on PDFs and classification using LLMs.
• Build and optimize data pipelines with Python and SQL.
• Improve data analysis and visualization capabilities.
• Explore and implement Machine Learning and LLM models for business challenges.
• Ensure data quality, reliability, and proper structuring.

• Currently pursuing a Master’s degree in Data Science, AI, or Computer Science applied to Finance from a leading institution.
• Prior experience in Data Science, Data Analysis, or Automation is advantageous.

• Proficiency in Python and SQL.
• Experience with data science libraries (e.g., Pandas, NumPy) is a plus.
• Ability to develop applications with Streamlit or similar tools.
• Experience with unstructured data processing (OCR, NLP, classification) is a plus.
• Strong skills in Excel and data visualization tools.

• Fluent in English.
• Detail-oriented with an analytical mindset.
• Proactive, autonomous, with initiative.
• Knowledge of eFront is a plus.
• Flexible, adaptable, eager to learn, and proactive.
• Capable of working in a fast-paced, dynamic environment.

• An excellent opportunity to experience an international working environment and engage with complex issues at a leading asset manager.
• Rapidly assume responsibilities within a growing platform.
• Potential for full-time employment after the internship.

Join us to realize your potential and drive progress for yourself, our clients, and society.