IR Tech Analyst: AI-Driven Tools & Dashboards

Bain Capital; Boston (MA); On-site; USD 75,000 - 100,000; Full time

Job summary

Bain Capital is seeking an Analyst/Associate to build internal tools and improve workflows within Investor Relations. You will sit with the IR Analyst team and work on full-stack apps, dashboards, and AI-assisted workflows for coverage, fund reporting, and capital formation.

You will combine data management, LP research, and day-to-day support, translating requests into tested tool improvements while maintaining data quality and collaborating with stakeholders.

Qualifications

• Proven experience using AI tools to build or improve workflows.
• Hands-on Python in a demanding environment.
• Experience with web app frameworks and JavaScript/TypeScript preferred.
• Git-based version control, testing, and deployment familiarity.
• Knowledge of SQL and cloud data platforms like Snowflake.
• Familiarity with Salesforce and investor data providers a plus.

Responsibilities

• Build, maintain, and extend full-stack web applications supporting fund coverage and LP intelligence.
• Develop AI-assisted workflows for meeting prep, research, and recurring deliverables.
• Use prompt design, workflow automation, and AI coding tools to improve processes.
• Maintain data quality across CRM and market intelligence sources.
• Validate source data, calculations, and data lineage with stakeholders.
• Collaborate with IR analysts on LP research and program mapping.

Skills

Python

AI tools

Git

SQL

Azure DevOps

Snowflake

Salesforce

Preqin

Education

Four-year college degree

Tools

Claude Code

Codex

Job description

Bain Capital is seeking an Analyst/Associate to build internal tools and improve workflows within Investor Relations. You will sit with the IR Analyst team and work on full-stack apps, dashboards, and AI-assisted workflows for coverage, fund reporting, and capital formation.

You will combine data management, LP research, and day-to-day support, translating requests into tested tool improvements while maintaining data quality and collaborating with stakeholders.