Role Description
The Operations Analyst is the day-to-day finance partner for an assigned portfolio of CES programs, clients, and sites. The role maintains a reliable financial view through gross margin and EBIT, ensures accurate and timely invoicing, explains performance using operational drivers, and gives operational leaders actionable insight. Analysts work as a pooled team under their regional Finance Business Partner, with assignments balanced for revenue, complexity, location, billing effort, and stakeholder needs.
Responsibilities
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Financial Management Through EBIT
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Maintain program- and site-level actuals, forecasts, budgets, and outlooks for revenue, direct labor, delivery costs, site expenses, gross margin, and EBIT.
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Support the monthly close by validating results, preparing or coordinating accrual and reclassification support, reconciling operational and financial data, and resolving queries and concerns with Accounting.
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Explain gross-margin performance using measurable drivers such as volumes, price, mix, attendance, productivity, B2P, occupancy, wage rates, overtime, training, nesting, shrinkage, and other delivery inputs.
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Forecasting, Planning, and Scenario Analysis
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Build driver-based forecasts and budget inputs for assigned programs and sites using approved financial and operational assumptions.
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Refresh outlooks when client volumes, staffing inputs, pricing, wage rates, launch plans, or delivery conditions change materially.
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Model scenarios and sensitivities that help operating leaders evaluate corrective actions and tradeoffs.
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Flag unsupported assumptions, emerging trends, and potential forecast bias early to the Finance Business Partner and accountable operational leader.
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Receive and financially translate approved workforce and capacity inputs from Workforce Management.
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Reconcile workforce assumptions to financial forecasts and identify inconsistencies, missing drivers, or unexplained changes.
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Challenge inputs when they do not align with financial results, contractual commitments, or observed operating trends.
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Escalate unresolved gaps jointly to the Finance Business Partner and appropriate Workforce Management or operational leader.
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Operational Insight and Stakeholder Partnership
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Deliver concise, decision-oriented analysis to program, site, and regional leaders; focus on root causes, financial impact, recommended action, and expected timing.
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Prepare recurring program financial reviews and follow up on agreed actions until resolved or formally reforecast.
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Connect financial performance to operational measures and identify opportunities to protect revenue, improve delivery efficiency, and expand gross margin.
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Escalate material issues involving performance, data quality, contractual interpretation, billing, or control breakdowns.
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Client and Commercial Support
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Maintain working knowledge of assigned contracts, pricing schedules, billing rules, minimum commitments, pass-through items, service changes, and relevant performance provisions.
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Provide financial analysis for client discussions, change requests, renewals, program launches, remediation plans, and operational business cases.
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Invoicing and Revenue Assurance
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Prepare or coordinate complete, accurate, and timely invoices for assigned programs in accordance with contract terms, approved pricing, and period cutoffs.
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Reconcile billed amounts to operational source data and the financial outlook; document approvals, adjustments, credits, unbilled items, and exceptions.
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Track invoice status, disputes, credits, and recurring root causes, partnering with the appropriate teams to accelerate resolution.
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Maintain auditable invoicing workpapers and backup coverage for critical billing cycles.
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AI, Automation, and Data Responsibilities
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Use standardized data models, dashboards, and automated workflows as the primary source for recurring analysis; identify manual processes suitable for improvement.
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Partner with the Automation Analyst as the finance process owner: define requirements, test outputs, document exceptions, and confirm that controls and reconciliations remain effective.
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Use AI-assisted tools for anomaly detection, variance exploration, forecasting support, and draft narratives while independently validating material conclusions against approved source data.
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Develop reproducible analysis rather than one-time spreadsheets, with clear sources, assumptions, logic, ownership, and refresh cadence.
Qualifications
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Bachelorβs degree in finance, accounting, economics, business analytics, or a related field, or equivalent relevant experience.
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Typically 3β6 years of experience in FP&A, operational finance, commercial finance, accounting, revenue assurance, or business analytics.
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Demonstrated ability to build forecasts, reconcile financial and operational data, perform variance analysis, and communicate clear conclusions.
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Strong spreadsheet capability and working knowledge of business-intelligence tools; experience with automation, data transformation, or AI-assisted analysis preferred.
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Experience in BPO, contact center, outsourced services, or another labor-intensive service environment strongly preferred.
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Ability to manage multiple clients or programs, meet close and billing deadlines, and maintain accuracy under changing operating conditions.