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

Summary

NTT DATA is a business and technology services leader focused on enterprise-scale AI, cloud, security, connectivity, data centers, and application services. The GTM Decision Intelligence Quantitative Analyst develops, validates, explains, and operationalizes evidence-based go-to-market recommendations by combining commercial, market, account, partner, and historical data. The role collaborates with sales, strategy, data, AI, and operations stakeholders to improve recommendation methods and support seller decision-making.

Responsibilities

• Frame ambiguous commercial questions as testable analytical problems, data requirements, features, hypotheses, acceptance criteria, and experiments
• Combine structured and unstructured internal and external data into governed, analysis-ready features with documented lineage and limitations
• Design account-solution-partner-fit, whitespace, propensity, relevance, timing, and next-best-motion methods
• Use approved AI capabilities for synthesis, classification, comparison, research acceleration, and analytical workflow orchestration while preserving human review and source traceability
• Develop and maintain recommendation scoring logic, confidence thresholds, prompts, transformations, business rules, versions, and controlled release criteria
• Test recommendations against known outcomes, holdout samples, business rules, edge cases, stakeholder challenge, and observed field outcomes
• Assess coverage, missing data, skew, instability, drift, unintended bias, false precision, and model risk; escalate material concerns before use
• Create explainable recommendation outputs that communicate supporting evidence, confidence, assumptions, limitations, and suggested seller action
• Partner with Solution & Strategy for governed solution, sales-play, offering, and industry-content inputs
• Partner with the Sales Tower for seller context, business validation, recommendation release, field activation, and feedback
• Capture recommendation disposition, seller feedback, opportunity progression, and observed outcomes to improve methods without overstating causality
• Operationalize repeatable analytical workflows with KPI Reporting, Analytics Shared Services, Data and AI teams, and responsible-AI stakeholders

Skills

• Bachelor's or advanced degree in statistics, economics, operations research, data science, computer science, engineering, applied mathematics, business analytics, or a related field, or equivalent practical experience
• Experience translating business questions into quantitative analysis, scoring methods, experiments, or recommendation systems
• Proficiency with SQL, Python or comparable analytical tools, plus strong Excel and business-intelligence skills
• Experience using AI-assisted analytical workflows with source traceability, validation, human review, and responsible-AI controls
• Strong knowledge of feature design, validation, explainability, data quality, bias and drift considerations, and analytical documentation
• Ability to build broad knowledge across partner ecosystems, industries, solutions, sales motions, market signals, account planning, and commercial performance
• Strong communication skills and ability to influence senior sales, strategy, data, and business stakeholders without owning final commercial decisions

Qualifications

Must Haves

• Bachelor's or advanced degree in statistics, economics, operations research, data science, computer science, engineering, applied mathematics, business analytics, or a related field, or equivalent practical experience
• Experience translating business questions into quantitative analysis, scoring methods, experiments, or recommendation systems
• Proficiency with SQL, Python or comparable analytical tools, plus strong Excel and business-intelligence skills
• Experience using AI-assisted analytical workflows with source traceability, validation, human review, and responsible-AI controls
• Strong knowledge of feature design, validation, explainability, data quality, bias and drift considerations, and analytical documentation
• Ability to build broad knowledge across partner ecosystems, industries, solutions, sales motions, market signals, account planning, and commercial performance
• Strong communication skills and ability to influence senior sales, strategy, data, and business stakeholders without owning final commercial decisions

Benefits

• Medical, dental, and vision insurance with an employer contribution
• Flexible spending or health savings account
• Life and AD&D insurance
• Short- and long-term disability coverage
• Paid time off
• Employee assistance
• Participation in a 401k program with company match
• Additional voluntary or legally-required benefits
• This position may also be eligible for incentive compensation based on individual and/or company performance
• Remote work arrangement