Full-Time

Senior FP&A Planning Analyst

Oracle EPM

Updated on 8/23/2026

Deadline 7/31/27
SAS

SAS

10,001+ employees

Analytics, BI, and data management software

No salary listed

No H1B Sponsorship

Remote in USA + 1 more

More locations: Cary, NC, USA

Hybrid

Hybrid in Cary, North Carolina, or fully remote within the United States.

Bachelor's

Category
Finance & Banking (1)
Required Skills
Forecasting
Version Control
Excel/Numbers/Sheets
Financial Modeling

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Requirements
  • A bachelor's degree in Accounting, Finance, Information Systems, or a related field.
  • Typically eight years of experience working in financial or accounting systems support, with related experience in change management and process analysis, systems implementation, administration, auditing, and financial reporting accepted as applicable.
  • Experience leading at least one end-to-end Oracle EPM Planning implementation, including design, build, testing, and deployment.
  • Experience implementing rolling forecasts and long-range planning solutions within Oracle EPM Planning or comparable enterprise planning platforms.
  • Strong experience designing driver-based planning models, including scenarios, versions, and alignment across annual plan, forecast, and strategic planning cycles.
  • Ability to partner with FP&A stakeholders to translate business requirements into system solutions and serve as a functional liaison between finance users, IT, and implementation partners.
  • Equivalent combinations of related education, training, and experience may be considered.
  • Experience designing scalable, integrated planning models within a single EPM environment.
  • Experience replacing complex Excel-based planning models with governed, auditable EPM solutions.
  • Ability to support planning users through training, documentation, and iterative improvement during live planning cycles.
  • Experience working with system integrators or consulting partners during EPM implementations.
  • Legally authorized to work in the United States without requiring employment visa sponsorship.
Responsibilities
  • Own FP&A planning processes supporting annual budgets, rolling forecasts, and long-range strategic plans.
  • Partner with FP&A leadership to assess business performance, risks, opportunities, and scenarios aligned to strategic objectives.
  • Define and own FP&A planning models within Oracle EPM, including financial structures, drivers, assumptions, scenarios, and business logic.
  • Translate FP&A questions and decision needs into scalable, driver-based planning models.
  • Partner with Finance Data & Analytics and IT teams on the configuration, build, design, testing, and deployment of Oracle Cloud EPM Planning solutions in accordance with enterprise architecture and platform standards.
  • Serve as the finance functional owner throughout planning cycle delivery and enhancements.
  • Design, maintain, and continuously improve financial calculations, planning logic, and business rules within Oracle EPM.
  • Define FP&A data requirements, reconciliation logic, controls, and validation rules for data flowing into Planning from source systems such as the general ledger and close systems.
  • Partner with IT and Finance Data & Analytics to ensure data quality, auditability, and traceability.
  • Establish and maintain planning governance, version control, and assumption management across planning cycles.
  • Identify high-value forecasting and planning processes managed in Excel and define requirements to transition them into governed Oracle EPM solutions.
  • Partner with Finance Data & Analytics and IT to deliver scalable implementations that balance analytical flexibility with control.
  • Facilitate FP&A working sessions, review model outputs, coach analysts, and ensure alignment with finance best practices and business objectives.
  • Coordinate with IT, Finance Data & Analytics, and external partners while retaining ownership of FP&A assumptions, logic, and outcomes.
Desired Qualifications
  • Experience with change management and process analysis, systems implementation, administration, auditing, and financial reporting.
  • Experience supporting planning users through training, documentation, and iterative improvement during live planning cycles.
  • Experience working with system integrators or consulting partners during EPM implementations.

SAS provides analytics, business intelligence, and data management software and services to organizations across government, business, and academia. Its products cover data mining, statistical analysis, forecasting, and optimization, and are sold as software licenses, with accompanying training, consulting, and support services. The platform typically helps users analyze large data sets and turn insights into decisions through a full analytics lifecycle—from data preparation to modeling and deployment. SAS differentiates itself through its long history (founded in 1976) and a broad, enterprise-grade suite with extensive services and a global presence that serve many of the world’s largest organizations. Its goal is to help customers become data-driven by turning data into actionable insights that improve decision making and outcomes.

Company Size

10,001+

Company Stage

Grant

Total Funding

$1M

Headquarters

Cary, North Carolina

Founded

1976

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Simplify Jobs

Simplify's Take

What believers are saying

  • Nevada selected SAS in June 2026, and two months found $130,000 overpayments.
  • Swiss Re partnership on catastrophe intelligence deepens SAS's insurance footprint in 2026.
  • SAS Innovate 2026 added Viya Copilot, agentic AI, and Quantum Lab for 2026 rollout.

What critics are saying

  • SAS cut 300 jobs in June 2026, signaling pressure while it reshapes around cloud.
  • Legacy analytics rivals and hyperscalers commoditize SAS's core tools before Viya adoption scales.
  • If Viya fails to replace license revenue, SAS becomes a shrinking enterprise maintenance vendor.

What makes SAS unique

  • SAS Viya embeds governed AI assistants across analytics workflows, announced April 28, 2026.
  • SAS MCP Server exposes analytics to external agents without bypassing enterprise controls.
  • SAS still wins regulated workflows, including Nevada SNAP integrity and Swiss Re underwriting.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Flexible Work Hours

Remote Work Options

Paid Vacation

Paid Sick Leave

Paid Holidays

Sabbatical Leave

Hybrid Work Options

Stock Options

Company Equity

401(k) Retirement Plan

401(k) Company Match

Performance Bonus

Profit Sharing

Employee Stock Purchase Plan

Relocation Assistance

Employee Referral Bonus

Student Loan Assistance

Parental Leave

Family Planning Benefits

Fertility Treatment Support

Adoption Assistance

Childcare Support

Elder Care Support

Pet Insurance

Bereavement Leave

Professional Development Budget

Conference Attendance Budget

Training Programs

Tuition Reimbursement

Professional Certification Support

Mentorship Program

Wellness Program

Mental Health Support

Gym Membership

Commuter Benefits

Meal Benefits

Phone/Internet Stipend

Home Office Stipend

Legal Services

Employee Discounts

Company Social Events

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

4%

2 year growth

3%
PR Newswire
Jul 29th, 2026
SAS and Swiss Re partner to integrate AI-driven catastrophe risk intelligence into insurance underwriting and pricing

SAS, a global leader in data and AI, has partnered with reinsurance provider Swiss Re to help insurers strengthen resilience through AI-driven risk intelligence. As part of the collaboration, Swiss Re will combine its CatNet natural catastrophe risk intelligence with SAS Insurance Life Cycle Accelerator, enabling insurers to incorporate predictive hazard insights into underwriting, pricing and portfolio management workflows. The partnership addresses mounting pressure from climate-driven "secondary perils" such as floods, hailstorms and wildfires. According to Swiss Re Institute, 99.9% of insured catastrophe losses in the United States in 2025 originated from secondary peril events. The combined solution is expected to drive a 95% increase in decisioning efficiency and a 50% boost in modelling process efficiency, allowing underwriting teams to review 40% more risks with the same manpower.

Yahoo Finance
Jun 27th, 2026
SAS Institute cuts 300 jobs to align with cloud and R&D priorities

SAS Institute, a North Carolina-based analytics software provider, has cut 300 positions across the company. The layoffs, implemented last week, affect employees globally across SAS's 400-plus offices worldwide, with its main campus located in Cary. The company stated the cuts align resources with long-term strategic priorities whilst continuing investment in research and development, sales and cloud operations. Affected employees can apply for other open positions or access transition services. SAS currently has several hundred vacancies worldwide. The company emphasised its focus on aligning resources with customer needs and sustainable growth, but declined to speculate on further changes.

PR Newswire
Jun 24th, 2026
Nevada uses SAS AI to cut SNAP errors, finds $130K in overpayments in two months

Nevada's Division of Social Services has selected SAS to help reduce error rates in its Supplemental Nutrition Assistance Program using AI technology. The state will deploy SAS Payment Integrity for Food Assistance to avoid potential penalties under new federal requirements mandating SNAP error rates below 6%. In the first two months of implementation, caseworkers have already identified $130,000 in monthly overpayments. The solution uses AI and machine learning to analyse every active SNAP case, providing monthly risk scoring to help staff prioritise reviews based on error likelihood and dollar amounts at risk. Nevada faces a potential $52 million penalty if error rates exceed the federal threshold. Beginning in 2027, states exceeding the 6% error rate must pay between 5% and 15% of total SNAP benefits, with some penalties potentially reaching $1 billion annually.

PR Newswire
May 28th, 2026
Insurers battle $309B fraud crisis with AI tools to detect fake accident photos

Insurance fraud through AI-generated images is rapidly escalating, with fraudsters using artificial intelligence to create or alter photos depicting crash scenes, receipts and property damage. The threat costs US consumers an estimated $308.6 billion annually, with one in 10 property-casualty insurance losses including fraud. Only 7% of anti-fraud professionals say their organisations are prepared to detect AI-charged fraud, according to a survey by the Association of Certified Fraud Examiners and SAS. To combat this, SAS has developed a synthetic image detection solution combining computer vision, optical character recognition and large language model reasoning. The system provides automated content screening, multi-signal fraud detection and risk-based decisioning. It can identify subtle manipulations that escape human detection and extends beyond insurance to banking and government sectors.

PR Newswire
May 14th, 2026
70% of SMBs stuck in early AI adoption despite growing investment, SAS study finds

A global study of over 1,600 small and midsized businesses across 28 countries found that nearly 70% remain in experimental or opportunistic stages of AI maturity, despite growing investment in AI tools. The research, commissioned by SAS and IDC, reveals a significant gap between AI aspirations and organisational readiness. The report identifies key obstacles preventing SMBs from scaling AI effectively, including fragmented data and tools, isolated initiatives, limited skills and insufficient governance. Whilst banking leads on AI strategy and governance, most sectors struggle to transform pilots into organisation-wide impact. Government organisations face legacy system challenges, whilst healthcare and life sciences contend with data complexity and regulatory demands. The study introduces an AI Readiness Index framework and SAS has launched an accompanying calculator to help organisations assess their maturity and identify improvement areas.