Finance [Big] Data Analyst

Location: Midtown Manhattan, New York, NY (In-Person)

Compensation: 17.00–20.00 per hour

Commitment: 20–30 hours per week

Start Date: Immediate

About Eulerity

At Eulerity, we are building the future of AI-driven marketing automation. Our platform helps franchises and multi-location businesses manage digital advertising at scale using machine learning, automation, and data.

As the business scales, we are building the financial infrastructure, data systems, and automated workflows needed to support increasingly complex financial operations.

We are looking for a Finance Data Analyst Intern who combines an understanding of accounting and finance with strong technical skills. This role is ideal for someone who enjoys working with financial data, building automated workflows, connecting software applications, and developing solutions that improve business processes.

You will work directly with our Controller and gain hands-on experience across accounting operations, financial reporting, data engineering, and automation.

This is not a traditional finance internship. We are looking for someone who can understand how financial transactions work and use technology to build scalable solutions around them.

What We're Looking For

We are looking for candidates with a combination of accounting knowledge, technical capabilities, and analytical thinking.

Candidates pursuing a technology-focused degree with accounting or finance coursework, or a finance/accounting degree with demonstrated programming and automation skills, are particularly encouraged to apply.

Graduation: December 2027 is preferred; May 2027 or later will also be considered.

Location & Schedule

Location: Midtown Manhattan, New York City

Work Arrangement: In-office at least 4 days per week

Position: Finance & Technology Internship

Start Date: ASAP

Responsibilities

Accounting & Finance: Support AP/AR, reconciliations, transaction processing, and month-end close.; APIs & Integrations: Connect financial and operational systems using APIs, connectors, and integrations.; Data Pipelines: Build and maintain workflows to extract, transform, validate, and organize financial data.; Financial Analytics: Use Python, SQL, and Excel to analyze financial data, support reporting, and identify discrepancies.; Automation & Process Improvement: Develop automated solutions to streamline accounting, reporting, and finance operations.

Requirements

Understanding of basic accounting principles, including debits and credits, journal entries, reconciliations, and financial statements.; Coursework, internship experience, or practical exposure to accounting, bookkeeping, or financial analysis.; Ability to understand financial transactions and how they are recorded and reported.; Familiarity with QuickBooks Online, Xero, or other accounting systems is a plus.; Understanding of APIs and how different software applications communicate.; Ability to build, configure, or troubleshoot automated workflows and integrations.; Familiarity with data pipelines and processes involving data extraction, transformation, and validation.; Proficiency in at least one programming or data tool, such as Python, SQL, JavaScript, or similar.; Strong proficiency in Excel or Google Sheets.; Exposure to automation platforms, webhooks, connectors, or AI-powered tools is highly desirable.; Accounting and Finance; Computer Science; Information Systems / Management Information Systems (MIS); Data Analytics / Business Analytics; Economics or related quantitative fields.; Technically Strong: You understand how APIs, software integrations, and automated workflows operate.; Financially Curious: You understand basic accounting concepts and are interested in how financial systems work.; Analytical: You enjoy working with data, identifying inconsistencies, and solving problems.; A Builder: You like developing solutions rather than relying entirely on manual processes.; Detail-Oriented: You recognize the importance of accuracy in financial reporting and data management.; Proactive: You take initiative, ask questions, and follow through on assignments.; Adaptable: You enjoy learning new technologies and working in a fast-paced startup environment.

Benefits

Direct mentorship and exposure to the Controller and Finance team.; Hands-on experience building financial workflows and automation.; Practical experience working with APIs, integrations, and data pipelines.; Exposure to accounting systems, financial reporting, and month-end close.; Experience working with real financial and operational data in an AI-driven AdTech company.; An opportunity to contribute to the development of scalable financial infrastructure.