Finance and Business Operations Analyst - Financial Analysis & Budgeting

Tuff Shed•Denver, CO

About The Position

The Finance and Business Operations Analyst is a hybrid finance and analytics role responsible for turning financial and operational data into actionable insights that drive business decisions. This role combines strong FP&A fundamentals with advanced analytics and modeling capabilities, serving as a strategic partner to Finance, Operations, Sales, and Executive Leadership. This position is ideal for a hands-on professional who can own forecasting and financial analysis while also building predictive and scenario-based models to support growth, margin optimization, and capital decisions.

Requirements

Bachelor’s degree in a quantitative or business-related field (e.g., mathematics, statistics, computer science, business analytics, finance, economics)
1–4 years of relevant experience, or an equivalent combination of education and experience
Experience working with large datasets in a business or financial context required
Demonstrated experience translating data into actionable operational and financial insights
Experience with business intelligence software required; exposure to Tableau and Power BI strongly preferred
SQL, R, or Python experience preferred
Prior experience in Supply Chain, Operations, or Financial Planning & Analysis (FP&A) is a plus

Responsibilities

Create and maintain forecasting, budgeting, and resource/headcount planning models, including variance analysis against plan and prior periods
Perform variance analysis and explain financial performance drivers to leadership
Support ad-hoc analytical projects focused on cost savings, ROI evaluation, quality improvement, and process efficiency
Support capital expenditure analysis and investment decision-making
Conduct short- and long-term analyses to enhance customer experience, reduce costs, and improve margin performance
Apply advanced statistical and financial analysis techniques to solve complex business problems and meet performance goals
Translate complex analytical outputs into clear business recommendations
Partner with stakeholders to define metrics, assumptions, and success criteria
Collaborate with Manufacturing, Supply Chain, and Field Operations teams to develop and maintain dashboards tracking key financial and operational KPIs across plants and distribution locations
Use analytics tools to extract, validate, and analyze large datasets
Improve data quality, definitions, and governance in partnership with IT and Operations
Act as a trusted advisor to field operations and functional leaders
Develop data-driven recommendations to improve profitability, cost structure, and operational efficiency for field management, executives, and partners
Balance analytical rigor with practical business judgment
Drive adoption of data-driven decision-making across the organization