Finance [Big] Data Analyst

New Yorkfull timeOn Site

H1B: no

Eulerity The Finance Data Analyst Intern at Eulerity supports accounting and finance operations by building automated workflows, connecting software applications, and developing data solutions. The role involves working with financial data using Python, SQL, Excel, and APIs to improve business processes.

Responsibilities

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.
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.

Qualification

Accounting & Finance KnowledgeCourseworkFamiliarity with QuickBooks OnlineTechnical Skills – Core RequirementAbility to buildExposure to automation platforms

Required

We are looking for candidates with a combination of accounting knowledge, technical capabilities, and analytical thinking.
Accounting & Finance Knowledge
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.
Technical Skills – Core Requirement
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.

Preferred

Familiarity with QuickBooks Online, Xero, or other accounting systems
Exposure to automation platforms, webhooks, connectors, or AI-powered tools

Company

Eulerity

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Source: greenhouse

Active within the past hour

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