> Markdown version of [/jobs/ext/4034291-business-intelligence-associate](https://www.wearedevelopers.com/jobs/ext/4034291-business-intelligence-associate). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Business Intelligence Associate

- **Company:** Farther LLC
- **Location:** New York, United States
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Spreadsheets, Databases, Software Debugging, Python (Programming Language), SQL Databases, Cloud Platform System, Hubspot
- **Published:** October 30, 2026
- **Apply:** https://startup.jobs/business-intelligence-asscoaite-farther-10568709

## About the Role

* A real interest in finance or wealth management, and a clear reason you want to build a career in it
 * Bachelor's degree in Finance, Business, Analytics, Statistics, or another quantitative field, plus at least one relevant internship
 * Intermediate Python and SQL, and comfort reading code and working with AI to write and debug it
 * Sharp attention to detail and strong integrity with numbers
 * Coachable, motivated, and quick to learn: you take feedback and turn it into better work, * Early-career experience in finance, fintech, consulting, or analytics
 * Exposure to AWS or another cloud platform
 * Background in wealth management or financial services

## Description

Finance runs on good data, and we need a Business Intelligence Associate to help keep ours clean, current, and useful. You'll work directly with our Revenue Operations Manager and alongside the Finance team to run our monthly reporting, dig into the numbers behind it, and get a little sharper every cycle. Expect real coaching, hands-on projects, and a clear path toward data analyst or data science work in finance and AI. If you're excited about finance and want to learn fast, this is a great place to build., * Run our monthly financial and operational reports using established frameworks, and keep them accurate and on time

 * Pull data from databases, spreadsheets, and APIs with SQL and Python to spot trends and answer questions
 * Check data quality so everyone can trust what they see
 * Use AI tools to speed up analysis and automate repeat work
 * Support ad hoc requests from Finance, Revenue Operations, and partner teams like HubSpot, and explain what you find in plain English