Senior Financial Analyst

Blueair•Chicago, IL

4d•Hybrid

About The Position

Blueair, part of Unilever, is seeking a Senior Financial Analyst to join its FP&A team. The role partners with commercial teams in North America and EMEA, working closely with the FP&A Manager and Global FP&A Lead and supporting DTC, Marketing, Sales, Supply Chain, and other cross-functional stakeholders. The analyst helps prepare monthly forecasts for both regions, supports business case modeling for new product innovation, and is expected to grow into greater ownership of EMEA forecasting and S&OP activities. The position is based on a hybrid team arrangement. The employee must live within commuting distance of Blueair’s Chicago Loop office and work in the office Tuesday through Thursday. Some flexibility in working hours is required to partner with colleagues across North America and EMEA. The role is described as a fast-paced, startup-style environment.

Requirements

2 to 5 years of experience in FP&A, Finance, Accounting, or Consulting.
Bachelor’s degree in Finance, Accounting, Economics, or a related field.
Hands-on experience with a full P&L forecast model.
Experience conducting in-depth variance analysis, including finding and preparing data and explaining differences in results.
Experience partnering with cross-functional, non-finance teams.
Strong Excel and financial modeling skills, with comfort working with large datasets from multiple sources.
Ability to explain financial insights clearly to people outside of finance.
Strong attention to detail and a naturally curious mindset.
Flexibility to work across time zones with teams in North America and EMEA.
Must live within commuting distance of the Chicago Loop office and work onsite Tuesday through Thursday.

Nice To Haves

Experience in CPG, DTC, e-commerce, or a related industry.
A good grasp of margin and cost component drivers.
Experience with ERP or BI tools.
Experience using AI or automation to streamline finance work.
Exposure to international or multi-region financials.

Responsibilities

Own the EMEA weekly flash, a full P&L view tracking revenue and performance trends.
Help compile North America and EMEA monthly forecasts, with the goal of eventually owning the EMEA roll-up.
Support the EMEA S&OP process and build toward running it with minimal supervision.
Analyze actuals against plan and forecast, explain variances such as volume, price, mix, and timing, and provide concise commentary.
Help prepare leadership reporting packages that explain the story behind the numbers.
Partner with the FP&A Manager to support DTC, Marketing, Sales, and Supply Chain teams across North America and EMEA through planning cycles.
Analyze DTC performance, including e-commerce and subscription programs, and identify opportunities to grow revenue and improve margin.
Help build ROI frameworks for marketing campaigns and trade and consumer promotions, and track spending efficiency.
Model deal economics and promotional lift scenarios for Sales and track net revenue impact against plan.
Translate commercial plans into financial plans and help stakeholders understand decision trade-offs.
Support business case modeling for new product innovation in both regions.
Build and improve driver-based models for revenue forecasting, margin bridges, promotional ROI, and scenario and sensitivity analysis.
Analyze margin and cost component drivers to understand profitability changes.
Monitor SKU and category trends and raise risks and opportunities with data-backed recommendations.
Conduct ad hoc strategic analyses for leadership.
Identify FP&A process and reporting inefficiencies and help develop scalable, repeatable solutions.
Look for ways to automate manual work, including through AI and other tools, and contribute to planning tool and data improvements.
Help establish and maintain data governance standards so reporting is accurate, consistent, and audit-ready.
Document planning-cycle and reporting processes so team members can provide coverage for one another.
Work with IT, Sales, Marketing, and Supply Chain to improve data feeding FP&A models.