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$80,400 - $223,900 / year
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$57,000 - $67,000 / year
Posted 1 week ago
Finance & Data Analytics Associate
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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
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