FP&A Analyst (2+ Yrs. Financial or Pricing Analysis Req.) - Hybrid
Location: Stamford, CT (walking distance from Stamford Station)
Salary: $100,000 – $120,000 + Annual Bonus + Benefits
Benefits: Medical, Dental, Vision, Life Insurance, Disability, 401K w/ 4% Match, PTO
Job Type: Full-Time, Monday–Friday, 8:00am–5:00pm
Start Date: ASAP
Sponsorship: Not available
Relocation Assistance: Not Available
Travel: Up to 15%

FP&A Analyst (2+ Yrs. Financial or Pricing Analysis Req.) – Hybrid Description

Our client, a private equity-backed global manufacturer, is seeking an FP&A Analyst to join their growing team. This role supports the FP&A Director in budgeting, reporting, and delivering data-driven insights that drive corporate decision-making. You will work in a fast-paced, collaborative environment with exposure to M&A activity, integration projects, and high-visibility company initiatives. The ideal candidate brings strong Excel skills and a sharp mindset for financial analysis with large datasets. This is an excellent opportunity to develop in a broad finance role with significant mentorship and growth potential.

FP&A Analyst (2+ Yrs. Financial or Pricing Analysis Req.) – Hybrid Responsibilities

•    Support budgeting, forecasting, and variance analysis 
•    Conduct pricing and margin analysis using established formats
•    Contribute to the preparation of executive-level financial reports and dashboards
•    Analyze customer profitability and product margins
•    Maintain and improve day-to-day reporting tools and processes
•    Perform data-heavy analysis to support strategic initiatives
•    Track and analyze key performance indicators (KPIs) across divisions
•    Assist with integration activities related to M&A
•    Manage components of internal and external reporting
•    Partner with cross-functional teams to inform planning and decisions

FP&A Analyst (2+ Yrs. Financial or Pricing Analysis Req.) – Hybrid Qualifications

•    Bachelor’s degree is required
•    2+ years of financial analysis or pricing analysis experience required
•    Advanced Excel & data analysis skills leveraging large data sets are required
•    Ability to work on-site 3-4 days per week is required