FP&A Analyst

Are You Ready?

CAI is a professional services company established in 1996 that has grown year over year to nearly 800 people worldwide. For mission-critical and regulated industries that need to deliver critical solutions in high-stakes environments, we provide accelerated operational readiness and unparalleled performance at the highest standard through our rigorous approach, field-tested processes, and elite expertise developed over 30 years.

Our approach is simple because our Purpose informs everything we do:

We exist to be the trusted solution for our clients as they strive to build a better working world and improve the human experience.

Our Foundational Principles:

We act with integrity

We serve each other

We serve society

We work for our future

At CAI, we believe in a relentless dedication to excellence, pushing boundaries and surpassing expectations. From the beginning, we’ve challenged ourselves to do what others wouldn’t. Not just setting industry standards, but redefining them entirely. We are bold in our thinking and creative in our approach. We operate at the intersection of wisdom and technology and thrive when they come together with humanity.

For us, operational readiness isn’t simply a goal—it’s a way of life. Tomorrow demands to be at the forefront of today. We get there through tireless effort, precision, efficiency, and an unwavering belief that there is always room for advancement. We’re not interested in how it used to be done. We’re obsessed with how it will be done.

The FP&A Analyst supports financial planning, forecasting, management reporting, KPI analysis, and business decision support across the company. This role helps translate financial and operational data into clear insights for Finance leadership and business partners. The analyst will support budgeting, rolling forecasts, variance analysis, dashboard development, acquisition reporting, and ad hoc analysis as the company scales from a mid-sized organization into a larger global enterprise.

Key Responsibilities:

Support the annual budget, rolling forecast, long-range plan, and scenario modeling processes by preparing templates, consolidating inputs, validating assumptions, and analyzing financial outcomes.

Prepare monthly and quarterly reporting materials that explain revenue, gross margin, EBITDA, cash flow, backlog, pipeline, utilization, realization, project margin, working capital, and other key performance drivers.

Perform variance analysis comparing actual results to budget, forecast, prior periods, and operating expectations, and clearly communicate key drivers, risks, and opportunities.

Build and maintain financial models that support resource planning, project profitability, pricing analysis, capacity planning, hiring assumptions, cash flow forecasting, and investment decisions.

Partner with Accounting to understand actual results, ensure reporting accuracy, reconcile management reporting to financial statements, and help explain timing differences or classification issues.

Support FP&A systems and business intelligence efforts by maintaining report inputs, validating data, updating dashboards, documenting KPI definitions, and identifying opportunities to automate recurring analysis.

Assist with acquisition-related reporting, including diligence support, Day 1 reporting, synergy tracking, integration dashboards, and post-close performance analysis.

Prepare ad hoc analysis for Finance leadership, business leaders, investors, lenders, and other stakeholders as needed.

Qualifications:

Bachelor’s degree in Finance, Accounting, Economics, Business Analytics, or related field required.

Typically requires 2 to 4 years of experience in finance, accounting, FP&A, data analytics, consulting, or a related analytical role.

Strong Excel skills, financial modeling ability, analytical curiosity, attention to detail, and clear written and verbal communication are required.

Experience with ERP systems, planning tools, Power BI or similar reporting platforms, project-based businesses, professional services, or acquisition-driven environments is preferred.

#LI-MV1