Senior Analyst, Revenue Accounting Systems & Automation

Genesys•Virtual Office (Florida), IL

3d•$103,400 - $181,800•Hybrid

About The Position

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day. Revenue Accounting depends on trusted data, scalable systems, and efficient processes to support accurate reporting and informed decision-making. As a Senior Revenue Accounting Systems & Automation Analyst at Genesys, you will shape how the organization uses systems, analytics, automation, and emerging technologies to improve reporting quality, strengthen controls, and reduce manual effort. This senior individual contributor role sits at the intersection of revenue accounting, finance systems, data, and technology. You will own complex improvement initiatives from problem identification through implementation, translating accounting and business requirements into practical solutions across Salesforce, Zuora Billing, Zuora Revenue, Snowflake, Tableau Cloud, Tableau Prep, Microsoft Excel, and related data flows. You will partner with Revenue Accounting, Finance Systems, IT, Data Engineering, Business Intelligence, and other Finance teams to improve data accessibility, simplify processes, resolve systemic issues, and build scalable reporting and monitoring capabilities. Your work will help Revenue Accounting identify issues earlier, make better-informed decisions, and operate effectively as transaction volumes, data complexity, and business needs evolve. This role also offers direct exposure to enterprise finance and technology initiatives, including opportunities to expand expertise in AI-enabled accounting, automation, data architecture, and platform optimization. At Genesys, collaboration, empathy for customers and colleagues, and ambitious thinking guide how teams solve complex problems and create better experiences.

Requirements

Bachelor's degree in Accounting, Finance, Information Systems, Business Analytics, or a related field
Strong understanding of accounting principles, financial reporting processes, and revenue-related business processes
Demonstrated experience working with complex financial and operational data across multiple enterprise systems
Advanced Microsoft Excel expertise, including complex formulas, pivot tables, large dataset analysis, financial modeling, and efficient spreadsheet design
Strong analytical and problem-solving capability, including experience investigating complex issues, identifying root causes, and developing practical solutions
Demonstrated experience with financial reporting, analytics, automation, finance systems, or process improvement initiatives
Proven ability to translate accounting and business requirements into scalable reporting, data, automation, or system solutions
Demonstrated ability to independently manage complex initiatives from problem identification and requirements definition through implementation and adoption
Strong background in data integrity, financial controls, process documentation, governance, and auditability
Strong written and verbal communication skills, with demonstrated ability to collaborate across Accounting, Finance, Systems, Data, and technical teams

Nice To Haves

Experience with Salesforce, Zuora Billing, Zuora Revenue, or comparable enterprise billing and revenue platforms
Experience using Snowflake or comparable cloud data platforms to analyze, reconcile, and investigate complex financial datasets
Experience developing Tableau Cloud dashboards and Tableau Prep workflows or using comparable business intelligence and data preparation tools
Experience applying automation, generative AI, or other emerging technologies to finance, accounting, reporting, or analytical workflows
Experience designing exception reporting, monitoring, or control frameworks that support proactive identification of data and process issues
Demonstrated success influencing cross-functional stakeholders and driving systems or process improvements without direct authority

Responsibilities

Own the end-to-end development and enhancement of revenue accounting reports, dashboards, analytics, and data models that improve recurring reporting, ad hoc analysis, and decision-making
Drive automation and process simplification initiatives that reduce manual effort, improve scalability, strengthen controls, and increase operational efficiency across Revenue Accounting
Partner with Revenue Accounting stakeholders to translate complex accounting and business requirements into scalable system, reporting, data, and automation solutions
Lead the design and implementation of practical AI-enabled solutions for reporting, analysis, documentation, reconciliations, and process support, incorporating appropriate governance and human oversight
Design and optimize Tableau Cloud dashboards and Tableau Prep workflows that improve reporting consistency, transparency, usability, and access to revenue data
Analyze revenue-related data across Snowflake and other sources to reconcile information between systems, identify anomalies and root causes, and improve data quality and decision support
Develop advanced Excel models and analytical tools where they provide business value while reducing unnecessary reliance on manually maintained spreadsheets
Drive enhancements across Salesforce, Zuora Billing, Zuora Revenue, and related revenue data flows to improve system performance, data integrity, and end-to-end accounting processes
Influence strategy and execution across Revenue Accounting, Finance Systems, IT, Data Engineering, Business Intelligence, and Finance by aligning stakeholders on sustainable solutions to complex data and process challenges
Develop repeatable exception reporting and monitoring capabilities that enable earlier issue detection, proactive investigation, and more reliable revenue accounting processes
Evaluate and implement appropriate generative AI, automation, and emerging technology use cases that expand the analytical and operational capabilities of Revenue Accounting
Document processes, data flows, business requirements, system logic, controls, and automated workflows to support operational continuity, governance, and audit readiness