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Cushman & Wakefield · Bengaluru, Karnataka

FP&A Senior Analyst

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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

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Embedded support to a country / cluster finance team

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Part of the central FP&A Operations Hub

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Dual alignment: Country Finance (dotted line) and Hub Lead (solid line)

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Close collaboration with Controllership, HR, Business Support, and Data/Tech teams

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Contributor to a standardised, technology- and AI-enabled finance model

Key Responsibilities

Planning & Forecasting

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Support monthly forecasts, AOP, and budgeting cycles

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Prepare, validate, and consolidate planning inputs

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Track actuals vs. forecast/plan (incl. headcount and costs)

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Contribute to rolling forecast and continuous planning capabilities

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Manage 1 – 2 FP&A analysts and ensure their timely and hi-quality FP&A deliverables.

Systems & Data Management

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Execute system uploads and data preparation (e.g. OneStream, Workday)

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Extract and structure financial and operational data

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Ensure accuracy through validation and reconciliation

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Maintain consistent data across finance systems

Reporting & Analysis

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Deliver standardised reporting packs and dashboards

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Perform variance analysis across revenue, cost, and margin

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Support Power BI dashboards and visualisation

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Evolve reporting toward driver-based insights and performance analysis

Month-End Close Support

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Validate financial outputs during month-end close

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Support reconciliation between financial and management reporting

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Ensure alignment with Controllership processes

Automation, AI & Digital Enablement

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Identify and implement opportunities to streamline finance processes

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Use AI tools (e.g. Copilot) to improve productivity and output quality

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Support automation of reporting, forecasting, and reconciliation activities

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Reduce manual effort through standardisation and digital solutions

AI & Agent Development (Future-State Capability)

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Build capability in applying AI within FP&A

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Develop or support AI-powered agents to automate workflows (e.g. reporting, variance analysis, data validation)

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Leverage AI for predictive insights, anomaly detection, and automated commentary

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Collaborate with data and technology teams to scale solutions across the organisation

Experience & Qualifications

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Degree in Finance, Accounting, Economics, or related field

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4 - 8 years’ experience in FP&A / finance operations

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Strong financial analysis capability, including the ability to analyse financial data, identify trends, and prepare reports that support business decisions

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Strong Excel and financial systems experience, including Workday, OneStream, Planning, or similar platforms for accurate reporting and data management

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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

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Familiarity with AI tools; interest in automation, digital, and agent-based solutions

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Experience in shared services / structured environments preferred

Key Competencies

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Strong analytical and problem-solving skills, with the ability to interpret financial results and translate data into actionable insights

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High attention to detail and data accuracy when preparing financial reports, dashboards, and analysis

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Strong systems and data capability, including confidence working with large datasets and finance technology platforms

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Digital and AI mindset; ability to learn and apply new technologies

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High level of ownership; proactive, self-driven, hands-on, and able to take initiative to get work done independently and within and through teams.

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Clear written and verbal communication skills, with the ability to collaborate effectively with senior managers and cross-functional teams

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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

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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.

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Structured, process-driven, and reliable

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Continuous improvement and automation mindset

Success Measures

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Accuracy and timeliness of outputs

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Data quality and reporting consistency

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Adherence to planning cycles

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Level of automation and efficiency achieved

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Adoption and impact of AI-enabled solutions

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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”

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