Staff Decision Scientist, Workiva

• 6+ years of experience in decision science, data analytics, strategy analytics, or a related role within the technology sector
• Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Business Analytics). Master's preferred

Desirable

• As a Staff Decision Scientist, you will serve as a strategic thought partner to senior leaders across Sales, Customer Success, Marketing and Finance — owning ambiguous problems, uncovering causal drivers, and delivering recommendations that shape how Workiva operates and grows
• You go beyond describing "what happened" to explaining "why it happened" and "what to do next," applying state-of-the-art analytical capabilities — including Snowflake Cortex and AI-powered tools — to surface insights at speed and scale, and to drive outcomes through clear, executive-ready communication
• This role reports to the Director of Decision Science within Workiva's Enterprise Data & Analytics function
• Lead rigorous, hypothesis-driven analyses — proactively framing the most important business questions, uncovering causal drivers, risks, and opportunities, and delivering clear "so what" recommendations that connect directly to strategic priorities and senior leadership decisions
• Leverage state-of-the-art analytical capabilities including Snowflake Cortex, AI-assisted workflows, and advanced statistical methods to develop and automate insights at scale
• Create and present compelling data narratives that make complex findings accessible and actionable for executive audiences
• Act as the metrics and data product owner: translate new business models, go-to-market motions, and strategic initiatives into well-defined metrics, measurement frameworks, and self-serve data products that enable confident, consistent decision-making across the organization
• Partner with Data Engineering, Analytics Engineering, and BI teams to ensure metrics are reflected in scalable data models and delivered through self-serve data products — enabling business users to access, interpret, and act on trusted data independently
• Engage with Data Governance teams to ensure metric integrity, consistency, and compliance with data standards
• Partner with leaders across business functions to translate ambiguous business questions into structured analytical plans — building credibility through the quality of insights and influence without authority
• Facilitate cross-departmental data initiatives that break down silos and create a unified, strategic view of the business
• Take ownership of outcomes — proactively managing stakeholder expectations, flagging risks early, and following through on commitments with accuracy and speed
• Drive analytical excellence across the team — establishing standards for hypothesis-driven analysis, reproducible workflows, and AI-assisted automation that raise the bar for how insights are developed and delivered
• Mentor and develop junior analysts and engineers, building a team culture where rigorous thinking, clear communication, and continuous learning are the norm
• Contribute to building Workiva's data culture and advancing data as a competitive advantage across the organization