Sr. Finance Operations Analyst

Macmillan•Gordonsville, VA

4d•Onsite

About The Position

The Sr. Finance Operations Analyst is a highly visible, cross-functional role within MPS Finance Operations that drives business analytics, financial planning and analysis (FP&A), and Order-to-Cash (OTC) operational intelligence. Serving as a trusted analytical partner to Finance Operations leadership, this individual delivers timely, accurate, and insightful reporting across both FP&A and OTC functions to inform strategic decisions, improve performance, and support revenue growth. The role blends deep financial acumen with advanced data and analytics capabilities, including the use of modern AI tools to automate processes and elevate reporting quality. Success in this position is demonstrated by reducing manual reporting burdens through AI and automation, increasing the speed and quality of financial insights, and fostering a data-driven culture. The position reports to the Manager Financial Operations and works in close partnership with FP&A, Accounts Receivable, Collections, Credit, Billing, and broader Finance stakeholders.

Requirements

Bachelor’s degree in Finance, Accounting, Business Systems, Statistics, or a related quantitative discipline.
Minimum 5–7 years of hands-on experience in a Finance Analytics, FP&A, Business Intelligence, or Data Analyst role, preferably within a Finance Operations or Shared Services environment.
Demonstrated experience supporting FP&A processes including budgeting, forecasting, and financial variance analysis.
Demonstrated experience with Order-to-Cash metrics and data, including Accounts Receivable, Collections, Billing, and Cash Application.
Strong knowledge of SAP (AR, GL modules preferred).
Advanced proficiency in Microsoft Excel, including complex modeling, dynamic arrays, and Power Query.
Strong Microsoft Power BI knowledge and experience, including DAX, data modeling, and report development.
Hands-on experience using AI tools such as Anthropic Claude and/or Google Gemini for business process automation, reporting, or data analysis.
Excellent verbal and written communication skills, with the ability to present findings effectively at all levels of the organization.
Proven ability to work independently with minimal supervision and manage multiple competing priorities in a fast-paced environment.

Nice To Haves

Experience with Visual Basic for Applications (VBA) and/or SQL/database development.
Experience with IBM Cognos Analytics for enterprise reporting and data visualization.
Familiarity with Ingenta Vista ERP and fulfillment software, including its data structures and reporting capabilities.
Experience working with Freshworks applications (e.g., Freshdesk, Freshservice) and extracting/analyzing data from the platform.
Demonstrated experience developing AI-assisted automation using Claude (Anthropic) or Gemini (Google) API integrations, prompt engineering, or workflow automation platforms (e.g., Zapier, Make, or similar).
Experience with Google Workspace productivity tools and Google Gemini for Workspace (Docs, Sheets, Slides AI features).
Microsoft Access database design, queries, and reporting experience.
Six Sigma, Lean, or other process improvement certification/experience.
MBA or advanced degree in Finance, Data Analytics, or related field.

Responsibilities

Support annual budgeting, forecasting, and long-range planning activities for MPS Finance Operations, partnering with FP&A leadership to deliver timely and accurate financial models.
Develop and maintain monthly/quarterly financial performance reporting, including variance analysis, trend identification, and forward-looking commentary for senior leadership.
Maintain rolling forecasts, scenario models, and what-if analyses to support business decisions.
Translate complex financial data into concise, actionable narratives and presentations for Finance and executive audiences.
Monitor financial KPIs and operational metrics, surfacing risks and opportunities proactively.
Liaise with New York Finance and Accounting teams to facilitate the formal allocation of capital project identifiers.
Oversee the Capital Schedule and Budget documentation, integrating revised cash flow projections and depreciation timelines to support accurate forecasting and long-range financial planning.
Accumulate, analyze, interpret, and report OTC operational performance data across the full revenue cycle—from order entry through cash application—for both functional teams and senior management.
Develop and implement KPIs, operational plans, dashboards, and reports aligned with OTC business objectives, including DSO, collection effectiveness, billing accuracy, and dispute resolution metrics.
Build complex dimensional data models derived from raw data pulled from multiple source systems (SAP, Ingenta Vista, Freshworks, and others).
Maintain the integrity of OTC master data, ensuring consistency and reliability across all reporting outputs.
Collaborate with OTC Managers and Finance stakeholders to gather requirements and translate them into analytical and reporting deliverables.
Develop and maintain Power BI dashboards and reports with a focus on scalability, self-service access, and actionable insight.
Design and deliver automated reporting solutions that reduce manual effort, improve cycle time, and increase accuracy across Finance Operations.
Quickly gather data from multiple systems to provide timely analysis along with clear recommendations and action plans.
Apply structured development methodologies (e.g., Agile) to deliver solutions efficiently and iteratively.
Leverage AI tools—including Anthropic Claude and Google Gemini—to develop intelligent automation for financial reporting, data summarization, commentary generation, and exception analysis.
Design and deploy AI-assisted workflows that reduce manual, repetitive finance tasks, improving speed and accuracy of month-end close, reconciliations, and management reporting packages.
Build and refine prompt engineering frameworks and AI-assisted templates within Claude and Gemini to support FP&A narratives, OTC performance summaries, and operational insights.
Identify opportunities across Finance Operations where generative AI and machine learning can drive measurable efficiency gains, and develop proof-of-concept solutions in partnership with IT and Finance leadership.
Champion AI adoption within the Finance Operations team by documenting best practices, training peers, and maintaining governance around AI tool usage.