FP&A Analyst, uberall

• Up to three years in FP&A, financial reporting, audit, transaction services or business analytics. A strong internship counts
• Detail-oriented. You check your own work before anyone else does, "investigate the root cause first" and you say so when a number looks wrong
• A degree in finance, economics, business, engineering, mathematics or something equally quantitative
• Real strength in spreadsheets: not just formulas, structure someone else can follow
• Comfort with deadlines that do not move
• Fluent written and spoken English
• Curious about AI tooling. You do not need to be an expert, just willing to use it and make it better

Desirable

• You own Uberall's recurring financial reporting cycle: the monthly close in Pigment, the Corporate Reporting pack, investor reporting to our two private equity shareholders, and the monthly and quarterly forecast
• Most of the production is already automated, so this isn't about copying numbers into slides. It's about running a cycle that can't slip, keeping the automation healthy, and being the first to notice what changed in the numbers and say why
• It's a seat with the widest view of Uberall: revenue, cost, cash and headcount all land on your page every month
• This is a first or second job in finance. You don't need to know Pigment or SaaS metrics on day one; you need to care about getting the numbers right
• Run the monthly reporting cycle
• Push the month's actuals into Pigment, and turn them into the Corporate Reporting pack
• Own the forecast cycle behind the ARR and EBITDA outlook
• Own the reporting calendar and keep the team to it
• Numbers you can defend
• Reconcile P&L and SaaS KPIs before anything goes out
• Chase down what doesn't tie, and say so when a number looks wrong
• Keep our planning and reporting data updated
• Report to investors and leadership
• Build the monthly investor packs
• Own the KPI commentary behind management reporting: Business Review, town halls and more
• Turn the numbers into insight
• Run the variance analysis behind the numbers, and turn it into insight worth acting on
• Run recurring analysis on ARR, retention, unit economics..
• Partner with the business on forecasts and analysis: Sales and Revenue Operations, Marketing, Finance, Product, Customer Success and beyond
• Automate your own job
• Own and improve the AI skills, routines and AI agents that generate the reporting pack. When one breaks, you fix it
• Find the manual steps still left in the cycle and remove them
• Build the checks that catch bad data automatically, so you don't have to catch it by hand