Finance & Data Analytics Associate

Neuroflow AssociatesPhiladelphia, Pennsylvania

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Job Description

About this role:

As a Finance & Data Analytics Co-op, you will support both FP&A and Accounting functions. Your work will be meaningful and visible, and will help strengthen the financial infrastructure and analytical insight of the company. Sample responsibilities include:
Assist in the preparation of monthly, quarterly, and annual financial reports, including variance analysis (actuals vs. budget/forecast)
Build and maintain financial models (e.g., revenue forecasts, cost projections, scenario analyses)
Support budgeting, planning, and long-range financial modeling processes
Perform data extraction, cleansing, and transformation from various systems (ERP, CRM, operational databases)
Develop dashboards, visualizations, and reports to support decision making (using tools like Excel, Power BI, Tableau, etc.)
Assist with account reconciliations, journal entries, and month-end close tasks
Help ensure adherence to accounting policies, internal controls, and compliance standards
Work cross-functionally with other teams (e.g., operations, product, growth) to understand drivers, trends, and KPIs
Conduct ad hoc financial and business analyses as requested by senior leadership
Document processes and workflows; propose improvements or automation where feasible

Qualifications:

We’re looking for a motivated student who brings both analytical curiosity and financial acumen. Ideal candidates will have:

Pursuing a major in Finance, Accounting, Business Analytics, or a related quantitative field
Strong academic record (e.g., GPA 3.0 or higher, or as required by your school)
Proficiency in Microsoft Excel (pivot tables, formulas, lookup functions) and other Office 365 software (Word, PPT, etc)
Experience or familiarity with SQL, Python/R, or similar data tools is a plus
Exposure to BI / data visualization tools (e.g., Power BI, Tableau) is a plus
Strong quantitative, analytical, and problem-solving skills
Attention to detail, accuracy, and ability to work with large datasets
Good communication skills — ability to explain data/insights to non-technical stakeholders
Self-starter, resourceful, able to multitask and manage priorities in a fast-paced environment

Submit 10x as many applications with less effort than one manual application.