Process Associate / Junior Process Associate

About the Role

Join KONE and play a key role in supporting global FP&A reporting operations that enable timely business reviews, informed decision-making, and reliable financial performance management. In this role, you will support reporting, data validation, closing activities, stakeholder inputs, and improvement initiatives while maintaining compliance with established procedures, controls, and service level expectations.

Key Responsibilities

• 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.

Requirements & Tech Stack

• FP&A and Finance Reporting Knowledge: Solid understanding of FP&A reporting activities, management reporting, variance analysis, general ledger concepts, reconciliations, and month-end closing processes.
• ERP Systems Proficiency: Hands-on experience with SAP or other financial ERP platforms, including extracting, validating, and interpreting financial data.
• Data Management: Ability to handle large volumes of transactional and reporting data with accuracy, consistency, and attention to detail.
• Power BI, Excel & Reporting Tools: Advanced use of Power BI dashboards, Excel formulas, pivot tables, templates, and reporting tools for financial analysis and business insights.
• AI Awareness for Business Use: 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.
• Responsible AI Mindset: Ability to use AI-assisted outputs responsibly by validating results, checking assumptions, protecting confidential data, and avoiding blind reliance on automated recommendations.
• Automation Mindset: 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.
• Process Improvement: Capability to document current-state processes, identify improvement opportunities, and support continuous improvement initiatives from a business user perspective.
• Compliance & Controls: Familiarity with internal controls, audit requirements, regulatory standards, and appropriate data handling practices.
• Analytical Skills: Strong capability to identify discrepancies, resolve issues, interpret trends, and support insight-driven decision-making.
• Documentation: 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.

AI & Automation Expectations

• Use AI-enabled tools as productivity support, not as a replacement for finance judgment, control checks, or stakeholder validation.
• Apply prompt-writing basics to summarize data, draft reporting narratives, prepare first-level commentary, and structure analysis for review.
• Validate AI-assisted insights against source reports, ERP extracts, dashboards, and agreed business rules before sharing outputs.
• Protect sensitive financial and business information by following company data privacy, confidentiality, and responsible AI guidelines.
• Collaborate with automation, BI, and process teams to translate business pain points into improvement ideas or simple automation requirements.
• Contribute to a continuous improvement culture by suggesting practical opportunities to reduce manual effort, improve data quality, and increase reporting reliability.