Senior Financial Analyst (FP&A)

We are seeking a detail-oriented, analytically driven Senior Financial Analyst (FP&A) to join our growing finance team. This role will support forecasting, reporting, business analytics, and cross-department planning as we continue to scale.

Position Overview

The role will own recurring reporting, support company-wide forecasting, and partner with teams across the organization to improve financial visibility and operational decision-making. The ideal candidate is highly analytical, organized, and excited to build structure in a fast-moving environment.

This role is designed to support the broader Finance function by handling data-heavy, repeatable workflows while contributing to meaningful business insights.

Key Responsibilities

Reporting & Analytics

• Own weekly and monthly KPI reporting, including sales, margin, product, channel, and content metrics.


• Maintain dashboards, refresh datasets, and improve reporting accuracy and speed.


• Conduct ad-hoc analysis for Marketing, Product, Operations, and Content teams.

Forecasting & Planning

• Update forecast models with current trends, volume drivers, and operational inputs.


• Support month-end and forecast reconciliation processes.


• Maintain assumptions, data versions, and documentation for financial models.
  
  

Budgeting

• Gather department inputs and maintain budget templates.


• Track budget vs. actuals and communicate key variances.


• Support annual and mid-year planning cycles.
  
  

Process Improvement

• Build and document scalable processes, workflows, and definitions.


• Identify automation opportunities to streamline reporting and forecasting.


• Support system enhancements across ERP, BI tools, and finance systems.
  
  

Qualifications

• 1–3 years of experience in FP&A, corporate finance, data analytics, or similar analytical roles.


• Strong skills in Google Sheets/Excel, including data cleanup and modeling.


• Comfortable working with large datasets and fast-moving timelines.


• Excellent communication skills, with the ability to present findings clearly.


• Highly organized, proactive, and driven to improve processes.


• Tech-savvy with some experience with AI tools and able to learn new tools/systems quickly.


• Preferred: Experience with consumer products, digital content, or e-commerce analytics.