FP&A Senior Analyst

Job Title

FP&A Senior Analyst Job Description Summary

• Role Overview
• The Financial Senior Analyst – FP&A Operations supports the country Finance team by delivering high-quality, standardised FP&A activities across planning, reporting, and analysis. The senior role may have 1 – 3 analysts reporting into the senior and they will work together as a team to provide timely and high – quality deliverables. The senior role also needs to work directly with their internal customers and stakeholders to ensure strong communications and alignment on deliverables and needs.
• Based in the FP&A Operations Hub, the role combines system-driven execution with an increasing focus on analytics, automation, and AI-enabled insight generation. It enables Finance Business Partners to focus on strategic decision-making by improving data quality, efficiency, and scalability.
• The role is critical to the transition toward a predictive, continuous, and insight-led FP&A function, with growing responsibility for leveraging and developing AI-enabled solutions, including agents. Job Description

Role Overview

The Financial Senior Analyst – FP&A Operations supports the country Finance team by delivering high-quality, standardised FP&A activities across planning, reporting, and analysis. The senior role may have 1 – 3 analysts reporting into the senior and they will work together as a team to provide timely and high – quality deliverables. The senior role also needs to work directly with their internal customers and stakeholders to ensure strong communications and alignment on deliverables and needs.

Based in the FP&A Operations Hub, the role combines system-driven execution with an increasing focus on analytics, automation, and AI-enabled insight generation . It enables Finance Business Partners to focus on strategic decision-making by improving data quality, efficiency, and scalability.

The role is critical to the transition toward a predictive, continuous, and insight-led FP&A function , with growing responsibility for leveraging and developing AI-enabled solutions, including agents .

Organisation

• •Embedded support to a country / cluster finance team
• •Part of the central FP&A Operations Hub
• •Dual alignment: Country Finance (dotted line) and Hub Lead (solid line)
• •Close collaboration with Controllership, HR, Business Support, and Data/Tech teams
• •Contributor to a standardised, technology- and AI-enabled finance model

Key Responsibilities

Planning & Forecasting

• •Support monthly forecasts, AOP, and budgeting cycles
• •Prepare, validate, and consolidate planning inputs
• •Track actuals vs. forecast/plan (incl. headcount and costs)
• •Contribute to rolling forecast and continuous planning capabilities
• •Manage 1 – 2 FP&A analysts and ensure their timely and hi-quality FP&A deliverables.

Systems & Data Management

• •Execute system uploads and data preparation (e.g. OneStream, Workday)
• •Extract and structure financial and operational data
• •Ensure accuracy through validation and reconciliation
• •Maintain consistent data across finance systems

Reporting & Analysis

• •Deliver standardised reporting packs and dashboards
• •Perform variance analysis across revenue, cost, and margin
• •Support Power BI dashboards and visualisation
• •Evolve reporting toward driver-based insights and performance analysis

Month-End Close Support

• •Validate financial outputs during month-end close
• •Support reconciliation between financial and management reporting
• •Ensure alignment with Controllership processes

Automation, AI & Digital Enablement

• •Identify and implement opportunities to streamline finance processes
• •Use AI tools (e.g. Copilot) to improve productivity and output quality
• •Support automation of reporting, forecasting, and reconciliation activities
• •Reduce manual effort through standardisation and digital solutions

AI & Agent Development (Future-State Capability)

• •Build capability in applying AI within FP&A
• •Develop or support AI-powered agents to automate workflows (e.g. reporting, variance analysis, data validation)
• •Leverage AI for predictive insights, anomaly detection, and automated commentary
• •Collaborate with data and technology teams to scale solutions across the organisation

Experience & Qualifications

• •Degree in Finance, Accounting, Economics, or related field
• •4 - 8 years’ experience in FP&A / finance operations
• •Strong financial analysis capability, including the ability to analyse financial data, identify trends, and prepare reports that support business decisions
• •Strong Excel and financial systems experience, including Workday, OneStream, Planning, or similar platforms for accurate reporting and data management
• •Proficiency in handling large datasets and using tools such as Power BI and other data visualisation or analysis platforms to extract insights and support decision-making
• •Familiarity with AI tools; interest in automation, digital, and agent-based solutions
• •Experience in shared services / structured environments preferred

Key Competencies

• •Strong analytical and problem-solving skills, with the ability to interpret financial results and translate data into actionable insights
• •High attention to detail and data accuracy when preparing financial reports, dashboards, and analysis
• •Strong systems and data capability, including confidence working with large datasets and finance technology platforms
• •Digital and AI mindset; ability to learn and apply new technologies
• •High level of ownership; proactive, self-driven, hands-on, and able to take initiative to get work done independently and within and through teams.
• •Clear written and verbal communication skills, with the ability to collaborate effectively with senior managers and cross-functional teams
• •Collaborative and service-oriented, with the ability to work in a team environment and support colleagues and other departments to align finance activities with operational goals
• •High Social IQ to translate business needs into deliverables and strong communications on findings, conclusions and recommendations. Ability to collaborate and generate win-win solutions.
• •Structured, process-driven, and reliable
• •Continuous improvement and automation mindset

Success Measures

• •Accuracy and timeliness of outputs
• •Data quality and reporting consistency
• •Adherence to planning cycles
• •Level of automation and efficiency achieved
• •Adoption and impact of AI-enabled solutions
• •Feedback from Finance Business Partners

Role Positioning

This role sits within the operational FP&A layer , delivering standardised, technology-enabled finance execution while progressively evolving toward insight generation, predictive analytics, and AI-enabled decision support .

INCO: “Cushman & Wakefield”