The SVG Finance team is growing, and we are seeking a driven, detail-oriented Financial Analyst Intern (or Junior Financial Analyst) to join our Financial Planning and Analysis (FP&A) team. Operating at the intersection of Finance, Sales Operations, and HR, this role offers hands-on experience in corporate finance, focusing primarily on the timely, accurate, and efficient calculation and administration of variable compensation for our sales teams. This individual will also support broader FP&A functions through data analysis, KPI tracking, and ad-hoc financial reporting.Key ResponsibilitiesVariable Compensation Support: Assist in calculating, verifying, and processing monthly variable compensation payouts, ensuring strict accuracy and adherence to payment deadlines.Stakeholder & Sales Collaboration: Support cross-functional communication with sales leaders and finance partners to review earnings, answer pay-related inquiries, and assist with compensation updates.FP&A Support & Data Analysis: Work alongside the FP&A team to analyze key performance indicators (KPIs), assist with financial forecasts, and track business metrics driving SVG’s outlook.Ad-Hoc Analysis: Help solve business problems through quantitative analysis and build ad-hoc financial reports for finance leadership.Data Integrity & Confidentiality: Uphold the highest standard of data privacy and discretion when working with sensitive compensation and payroll information.Qualifications & TraitsEducation: Currently pursuing (Senior standing) or recently graduated with a Bachelor’s degree in Finance, Accounting, Business, Economics, or a related field.Experience: Prior internship experience in finance, accounting, or analytics is a plus, but academic coursework showing strong quantitative ability is welcomed.Core Traits: High attention to detail, strong work ethic, organizational skills, and eagerness to learn. Must be a self-starter who works well both independently and in a collaborative team environment.Communication: Strong written, verbal, and interpersonal communication skills for working across teams.Technical ProficiencyExcel: Strong working knowledge of Microsoft Excel (familiarity with formulas, data organization, and basic modeling principles).Preferred Skills (Nice-to-Have):Interest or experience in using modern AI tools (e.g., Claude in Excel) to streamline analytical workflows.Basic exposure to relational databases, SQL, or Snowflake for querying data. 
