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Sales Strategy & Data Analytics: GTM Decision Intelligence Quantitative Analyst - US Remote

NTT DataMillbrae, CARemoteL5 SeniorSeptember 16th, 2026
Overview In this role you will develop evidence-based go-to-market recommendations by fusing bookings, market data, account plans and offerings to produce actionable insights for sales leaders. You will work with cross-functional partners to frame commercial questions, design analytical methods, and validate recommendations with explainable outputs. You’ll balance AI-assisted workflows with human review to preserve traceability and reduce bias. This position provides a chance to shape how sales teams prioritize opportunities across partners and solutions at scale in a responsible, data-driven way. Compensation / Benefitsmedical, dental, and vision insurance with employer contributionflexible spending accounts or health savings accountlife and AD&D insuranceshort and long-term disabilitypaid time off401(k) with company match ResponsibilitiesFrame and design testable analytical questions and experiments from ambiguous commercial problemsFuse structured and unstructured data into governed, analysis-ready features with clear lineageDevelop account-solution-partner-fit, whitespace, propensity, relevance, timing, and next-best-motion methodsCreate and manage recommendation scoring logic, thresholds, and release criteria with validation against outcomesAssess data quality, drift, bias, and model risk; escalate concerns before deploymentProduce explainable outputs that show evidence, confidence, assumptions, and recommended seller actionsCollaborate with Solution & Strategy and Sales Tower for inputs and field activationOperationalize repeatable analytical workflows with KPI reporting and responsible-AI governance Key requirementsBachelor’s or advanced degree in statistics, economics, OR data science or related field or equivalent experienceExperience translating business questions into quantitative analyses, scoring methods, experiments, or recommendation systemsProficiency with SQL and Python (or comparable tools); strong Excel and BI skillsExperience with AI-assisted analytical workflows with source traceability and human reviewKnowledge of feature design, validation, explainability, data quality, bias and drift, and analytical documentationAbility to learn partner programs, terminology, and processes across ecosystems and sales motionsStrong communication skills to influence senior stakeholders without owning final decisionsstrong communicationinfluence and stakeholder managementcollaboration across cross-functional teamsSQLPythonExcel