Revenue Analyst 2-Fin

About the Role

As a member of Revenue Accounting, you will assist in the processing of revenue-impacting adjustments and reconciling balance sheet accounts. You will monitor revenue, reconcile receivables and unearned accounts. You will work with internal customers to resolve related revenue inquiries and assist in facilitating the automation of current processes and procedures. You may participate in special projects.

Key Responsibilities

• Lead the creation and adoption of AI-enabled learning and knowledge-management practices for Customer Data teams.
• Design and maintain structured learning journeys for Customer Data processes, tools, policies, desk manuals, Confluence pages, and controls.
• Build and curate a reliable knowledge base, including SOPs, FAQs, playbooks, and process updates.
• Apply AI tools to improve knowledge search, content creation, learning personalization, and employee self-service.
• Partner with business teams, operations, GFO, and stakeholders to identify skills, minimize interactions, and fix knowledge gaps.
• Translate complex process and system changes into clear, user-friendly learning content.
• Drive adoption of AI-enabled learning platforms and measure learner engagement and knowledge effectiveness.
• Establish content governance, review cycles, version control, and ownership for knowledge assets.
• Analyze learning feedback, quality trends, and operational data to continuously improve training and documentation.
• Support change-management initiatives by preparing teams for new Customer Data processes, tools, and ways of working.
• Ensure all learning and knowledge materials meet data privacy, security, compliance, and accessibility standards.
• Assist in the processing of revenue-impacting adjustments and reconciling balance sheet accounts.
• Monitor revenue, reconcile receivables, and unearned accounts.
• Work with internal customers to resolve related revenue inquiries.
• Assist in facilitating the automation of current processes and procedures.
• Participate in special projects.

Requirements & Tech Stack

• AI-enabled learning
• Generative AI
• Knowledge-management platforms
• Intelligent search tools
• AI tools
• AI-enabled learning platforms
• Customer Data processes, tools, policies, desk manual, Confluence page, and controls
• SOPs, FAQs, playbooks, and process updates
• Learning materials such as e-learning modules, guides, presentations, and facilitator-led content
• Revenue Accounting
• Revenue-impacting adjustments
• Balance sheet account reconciliation
• Receivables reconciliation
• Unearned accounts reconciliation
• Automation of current processes and procedures

Qualifications

• Bachelor’s degree or equivalent practical experience.
• Experience in learning & development, knowledge management, process documentation, operations enablement, or a related field.
• Working knowledge of AI-enabled learning, generative AI, knowledge-management platforms, or intelligent search tools.
• Strong written communication and ability to simplify complex topics.
• Experience creating learning materials such as e-learning modules, guides, presentations, and facilitator-led content.
• Strong stakeholder-management, analytical, and problem-solving skills.
• Ability to manage multiple priorities independently in a fast-paced environment.
• Experience in quote to cash teams (preferred).
• Familiarity with learning platforms, knowledge bases, learning tools, or collaboration platforms (preferred).
• Experience using analytics to measure learning impact and knowledge adoption (preferred).
• Understanding of data privacy and regulatory requirements relevant to customer data (preferred).
• Certification or training in instructional design, knowledge management, AI, or change management (preferred).

Success Measures

• Increased usage and accuracy of knowledge resources.
• Improved learning completion, assessment, and capability outcomes.
• Reduced time to proficiency for new or transitioning team members.
• Better process adherence and lower knowledge-related errors.
• Measurable efficiency gains through AI-enabled learning and self-service.