About The Position

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 at SAS. This position is instrumental in enabling trusted analytics and fostering a culture of accountability and continuous improvement across the organization.

Requirements

  • Masters degree in a field that includes strong coverage of applied mathematics and statistics, computer science, or engineering.
  • Minimum 5 years of experience engineering data and creating data products such as BI reporting, dashboards, and data models
  • Proven track record of collaborating with business stakeholders and technical experts to deliver outcomes.
  • Strong proficiency with analytical tools such as SAS, Python, R, SQL, or equivalent.
  • Effective communication skills, especially with senior leaders and nontechnical audiences.
  • Proven ability to manage high visibility deliverables in a dynamic environment.
  • Equivalent combination of related education, training and experience may be considered in place of the above qualifications.

Nice To Haves

  • Collaborating – Working cooperatively with others to help a team or work group achieve its goals.
  • Driving for Results – Setting high goals for personal and group accomplishment; using measurement methods to monitor progress toward goals; tenaciously working to meet or exceed goals while deriving satisfaction from that achievement and continuous improvement.
  • Quality Orientation – Accomplishing tasks by considering all areas involved, no matter how detailed; showing concern for all aspects of the job; accurately checking processes and tasks; being watchful over a period of time.

Responsibilities

  • 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 workstreams 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 GitLab 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 everything we do.

Benefits

  • Comprehensive medical, prescription, dental and vision plans.
  • Medical plan options include:
  • PPO with low annual deductible and copays.
  • HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center).
  • Onsite Health Care Center (HQ) that’s free to employees and family members enrolled in the PPO plan. There’s a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
  • An industry-leading 401k plan.
  • Tuition Assistance Program and programs and resources to support your development
  • Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1.
  • Volunteer Time Off, parental leave and unlimited paid sick days.
  • Generous childcare benefits for all full-time employees.
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