Financial Analyst

Rugs USA•New York, NY

30d•$85,000 - $105,000

About The Position

The Financial Analyst will be a key member of the FP&A team, supporting financial planning, reporting, forecasting, business analysis, financial modeling, and the continued modernization of Finance reporting and analytics. Reporting to the Senior Manager of FP&A, this role will own recurring financial and KPI reporting, support Budget and Forecast processes, build and maintain financial models, analyze business performance, and help automate and improve Finance reporting using tools including Excel, Power Query, Sigma, and Snowflake. The ideal candidate combines a strong foundation in finance with analytical and technical capabilities. This individual should be curious about what drives business performance, comfortable working with large datasets, and motivated to improve and automate existing processes rather than simply maintain them.

Requirements

Bachelor's degree in Finance, Accounting, Economics, Business Analytics, or related field.
2–5 years of experience in FP&A, Financial Analysis, Corporate Finance, or a related analytical role.
Advanced Microsoft Excel skills.
Experience with Power Query, Power Pivot, or similar analytical tools.
Ability to build well-structured, auditable models with clear assumptions, formulas, outputs, and version control.
Strong financial modeling and analytical capabilities, including experience building driver-based forecasts, scenario analyses, and sensitivity models.
Working knowledge of financial statements and fundamental accounting principles.
Ability to analyze large datasets and identify meaningful business drivers.
Strong problem-solving, communication, and organizational skills.

Nice To Haves

NetSuite or similar ERP experience
Experience with one or more business intelligence and data tools, including Power BI, Sigma, SQL, or Snowflake
Experience in retail, consumer products, eCommerce, or an omnichannel business
Experience building or maintaining models for demand planning, margin analysis, inventory, cash flow, customer profitability, or promotional effectiveness
Candidates with strong financial and analytical capabilities and demonstrated ability to learn new technologies are encouraged to apply.

Responsibilities

Own recurring weekly and monthly financial and KPI reporting, including data preparation, validation, variance analysis, and management commentary.
Support monthly close and analyze performance versus Forecast, Budget, and prior year.
Support annual Budget, periodic Forecast, Long-Range Planning, and related financial model development processes.
Maintain reporting across key financial and operational metrics including Revenue, Demand, Units, ASP/AOV, Gross Margin, Variable Contribution, EBITDA, Cash Flow, Inventory, and Operating Expenses.
Support preparation of executive and Board reporting and analysis.
Track forecast performance and help identify emerging risks and opportunities.
Build, update, and maintain financial models to support forecasting, scenario planning, business cases, and strategic decision-making.
Analyze performance across brands, channels, customers, and product categories.
Perform driver-based variance analysis across price, volume, mix, channel, customer, and product.
Analyze key eCommerce performance drivers including traffic, conversion, units, pricing, promotions, returns, fulfillment costs, inventory, and profitability.
Partner with Finance, Commercial, Merchandising, Marketing, and Operations teams to understand performance and answer business questions.
Support pricing, promotional, inventory, margin, and profitability analyses.
Develop scenario and sensitivity analyses to support management decision-making.
Create driver-based models that connect operational metrics to revenue, margin, EBITDA, cash flow, working capital, and inventory outcomes.
Translate financial and operational data into concise insights, risks, opportunities, and actionable recommendations.
Build and maintain automated reporting solutions using Excel, Power Query, Power Pivot, Sigma, and Snowflake.
Reduce manual reporting and data preparation through automation and standardized processes.
Develop and maintain Finance dashboards and reusable reporting models.
Design scalable Excel-based models and analytical templates with clear assumptions, outputs, sensitivities, and documentation.
Validate and reconcile financial and operational data across multiple systems.
Help transition spreadsheet-based reporting into scalable reporting and BI solutions where appropriate.
Support standardized Finance KPI definitions, reporting hierarchies, and data models.
Identify opportunities to simplify and automate FP&A processes.
Document key reporting processes, data sources, definitions, and controls.
Help establish consistent Finance metrics and reporting standards.
Support implementation and adoption of new FP&A tools, dashboards, and data models.