Data Scientist, Corporate Analytics & Decision Support

Data Scientist, Corporate Analytics & Decision Support – Hybrid, Cary, North Carolina

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The Corporate Operations & Planning (CO&P) division at SAS plays a vital role in defining and aligning the organization with its top strategic and operational priorities, ensuring clarity, accountability, and enterprise‑wide cohesion. CO&P addresses four critical challenges for SAS: ensuring the right strategy, enabling better decisions, improving operational effectiveness, and strengthening our competitive advantage.

Within CO&P, the Corporate Analytics & Decision Support (CADS) team provides the analytical rigor and performance insights necessary to drive executive decision‑making and long‑term business success. As a Data Scientist on the CADS team, you will serve as a strategic individual contributor, working in a high‑impact team that elevates enterprise analytics s position is instrumental in enabling trusted analytics and fostering a culture of accountability and continuous improvement across the organization.

• Partner with the team to develop and drive the analytical agenda that supports SAS’s strategy, corporate planning, and enterprise performance management.
• Own the end‑to‑end delivery of enterprise analyses and high‑impact corporate insights, ensuring cross‑divisional and cross‑functional alignment.
• Define and advance analytical strategy, frameworks, and standards that strengthen enterprise decision‑making.
• Ensure SAS’s most critical decisions are informed by trusted, high‑quality analytics and forward‑looking insights.
• Strengthen the company’s operating rhythm and performance management capabilities by building clear decision frameworks that guide prioritization, investment, and trade‑off analysis.
• Synthesize complex analyses into concise, actionable recommendations for senior and executive leadership.
• Anticipate emerging trends and performance risks, proactively surfacing insights before they become formal requests.
• Lead analytical work streams by setting direction, scoping projects, and coordinating contributors to deliver cohesive, high‑quality outcomes.
• Leverage the SAS Viya platform (including SAS Studio, SAS Data Explorer, Visual Analytics, and SAS Environment Manager) and Git Lab to conduct advanced analytics.
• Contribute to the enterprise analytical roadmap supporting corporate strategy, performance measurement, and decision support.
• Establish and promote standards for model design, forecasting, scenario analysis, data quality validation, and insight generation.
• Identify and implement opportunities to automate, streamline, and modernize enterprise reporting and modeling processes.
• Partner with business and data owners, CIS, and cross‑functional teams to strengthen data governance, harmonize definitions, improve data quality, and streamline data flows.
• Design, maintain, and enhance enterprise dashboards and reports aligned to strategic priorities.
• Provide analytical support for annual corporate planning, strategic initiatives, and investment decisions, including scenario and sensitivity analysis.
• Partner with the PMO and Corporate Development to deliver insights that strengthen strategic initiative execution.
• Serve as a trusted advisor by communicating insights with clarity, confidence, and business relevance through executive‑level presentations and forums.
• Represent the team in cross‑department meetings, enterprise forums, and steering groups to elevate the visibility and impact of CO&P analytics.
• Ensure all applicable security policies and processes are followed to support the organization’s secure software development goals.
• Embrace curiosity, passion, authenticity and accountability. These are our values and influence…