Aumni serves private capital investors with its proprietary data analytics engine, extracting and analyzing critical legal and economic terms in every deal. You will be working with Aumni's proprietary data analytics engine, reinventing legacy portfolio management and investment operations as a streamlined digital experience. 

As a Software Engineer-Business Intelligence Analyst-Senior Associate at JPMorgan Chase within the Corporate & Investment Bank, you will be part of the Digital Private Markets business. his role provides an opportunity to empower our customers with the data they need to make faster, smarter decisions in a rapidly expanding industry. You will be responsible for enabling self-service data visualization and reporting, developing valuable insights from Aumni’s data, and building systems to improve our understanding of legal documents.

Job responsibilities:

• Enable self-service data visualization and reporting on high-quality, understandable, trusted data.
• Develop interesting and valuable insights from Aumni’s data that solve customer problems.
• Build systems that can augment and improve our understanding of legal documents.Working with new users to capture, refine, and document requirements.
• Coaching users on the correct usage of existing content.
• Development of new data products, reports, and dashboards to meet new user needs.
• Identify and triage of data quality issues.
• Development of the Aumni data platform capability, and collaboration with product and engineering to enhance the core data offerings.
• Contribute to Aumni’s data catalog and documentation. 

Required qualifications, capabilities and skills:

• Formal training or certification on Data Analysis concepts and 3 years applied experience
• Good knowledge on SQL
• Data Modeling
• Data Documentation or Cataloging
• Creating Dashboards (with tools like Metabase)

Preferred qualifications, capabilities and skills:

• Consulting
• Venture Capital/Private Equity
• ETL/ELT (Airflow, FiveTran)
• Security and compliance (SOC 2)
• Python Scientific Computing
• Data Architecture
• Cross-functional teams