FP&A Analyst
New
W
Wild Alaskan CompanyE-commerce
Across the United StatesFull-TimeMiddle
Salary80000 - 100000 USD per year
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Job Details
- Experience
- 1-3 years
- Required Skills
- PythonSQLMicrosoft ExcelGoogle SheetsNetSuiteLooker
Requirements
- Bachelor's degree in Finance, Economics, Accounting, Data Science, or a closely related field
- 1-3 years of relevant experience in FP&A, accounting, corporate finance, consulting, banking, or a rotational/analyst program
- Advanced Google Sheets / Excel modeling skills
- Demonstrated fluency with AI tools (Claude, ChatGPT, or similar) integrated into real analytical workflows
- Strong analytical and logical reasoning skills; ability to turn data into insight
- Intellectual curiosity and a "why?" instinct
- Excellent attention to detail, accuracy, and organization
- Sterling work ethic; consistently delivers clear and complete work on schedule
- Proven ability to prioritize effectively in a fast-paced, constantly changing environment
- Genuine alignment with Wild Alaskan's mission
Responsibilities
- Support and build structured financial models that guide specific decisions and surface actionable insights: vendor analyses, pricing & COGS scenarios, breakeven, opportunity cost, and member cohort & retention analyses.
- Contribute to the S&OP process alongside Supply Chain, Ops, Marketing, and Merchandising. Getting into the weeds on SKU-level forecasting accuracy, inventory analyses, margin visibility, pricing scenarios, and operational analyses across areas like packaging, dry ice, and shipping.
- Support annual budgeting, re-forecasting (as needed), and long-range planning cycles.
- Contribute to the monthly close through flux prep and variance analysis, selected reconciliations, financial statement preparation and/or reporting, and other duties as assigned.
- Investigate drivers behind variances at the cost-center and line-item level. Own departmental-level variance analysis as scoped with the FP&A Manager. Build and maintain deeper, operator-facing views as needed that complement summary reporting.
- Help improve financial systems, tools, models, and processes as WAC scales. Use AI to automate repetitive work and turn one-off analyses into reusable tools.
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