Finance & Data Analytics Associate

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