Process Associate / Junior Process Associate - FP&A

Overview

Support global FP&A reporting operations, covering month-end and year-end reporting, data validation, variance analysis and process improvement, in a detail-oriented, process-driven environment.

What you'll do

• Prepare business reports and support closing activities with accuracy, consistency, and timeliness.
• Support month-end and year-end FP&A reporting activities, including data collection, consolidation, and validation.
• Perform data quality checks and ensure reported figures are complete, accurate, and aligned with defined reporting standards.
• Assist in variance analysis by identifying key movements, trends, exceptions, and business drivers for stakeholder review.
• Maintain and update reporting templates, dashboards, trackers, and supporting documentation.
• Coordinate with cross-functional teams such as R2R, S2P, S2C, business controllers, and finance stakeholders to collect and clarify inputs.
• Ensure compliance with internal controls, process guidelines, data handling expectations, and audit requirements.
• Use Excel, Power BI, ERP reports, and digital tools to simplify recurring analysis and improve reporting efficiency.
• Identify repetitive tasks, manual touchpoints, and data bottlenecks that can be improved through automation or AI-assisted solutions.
• Apply basic AI awareness by reviewing AI-generated outputs critically, validating results against source data, and escalating exceptions where required.

What you'll need

• Solid understanding of FP&A reporting activities, management reporting, variance analysis, general ledger concepts, reconciliations, and month-end closing processes.
• Hands-on experience with SAP or other financial ERP platforms, including extracting, validating, and interpreting financial data.
• Ability to handle large volumes of transactional and reporting data with accuracy, consistency, and attention to detail.
• Advanced use of Power BI dashboards, Excel formulas, pivot tables, templates, and reporting tools for financial analysis and business insights.
• Basic understanding of how AI and generative AI can support finance activities such as data summarization, variance commentary, anomaly identification, reporting narratives, and productivity improvement.
• Ability to use AI-assisted outputs responsibly by validating results, checking assumptions, protecting confidential data, and avoiding blind reliance on automated recommendations.
• Ability to recognize repetitive tasks, manual validations, workflow gaps, and reporting inefficiencies that may be improved through Power Automate, Power Query, low-code tools, macros, or standardized templates.
• Capability to document current-state processes, identify improvement opportunities, and support continuous improvement initiatives from a business user perspective.
• Familiarity with internal controls, audit requirements, regulatory standards, and appropriate data handling practices.
• Strong capability to identify discrepancies, resolve issues, interpret trends, and support insight-driven decision-making.
• Skilled in preparing and maintaining process documentation, user instructions, reporting notes, and control evidence to ensure transparency and compliance.
• Good communication and stakeholder coordination skills.
• Strong attention to detail and commitment to data accuracy.
• Ability to work in a process-driven and deadline-oriented environment.
• Curiosity to learn new digital tools, AI capabilities, and automation opportunities relevant to business operations.
• Business judgment to question unusual outputs, challenge assumptions, and seek clarification before sharing insights.
• Team collaboration and adaptability in a changing digital finance environment.
• Strong organizational and time management skills.
• Accountability and ownership of assigned tasks.
• Solution-oriented mindset with awareness of automation, analytics, and AI-enabled ways of working.

Details

• Location: Chennai ITEC/KBS.
• Use AI-enabled tools as productivity support, not as a replacement for finance judgment, control checks, or stakeholder validation.
• Protect sensitive financial and business information by following company data privacy, confidentiality, and responsible AI guidelines.