Job Description

Req ID: 388969

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

NTT DATA North America is seeking a GTM Decision Intelligence Quantitative Analyst to develop, test, explain, operationalize, and improve evidence-based go-to-market recommendations for sales leaders and sellers. The Analyst combines bookings, market data, account plans, partner targets and offerings, internal solutions, sales plays, industry points of view, and historical outcomes using quantitative methods and approved AI capabilities. The role converts fragmented information into prioritized account-partner-solution opportunities and next-best-motion recommendations without replacing seller judgment or Solution & Strategy content ownership.

Responsibilities Include:

Analytical Design and Data Fusion

• 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.

Recommendation Engine and Validation

• 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.

Cross-Tower Collaboration and Learning

• 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.

Qualifications:

• 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.

Systems and Tools

SQL, Python or comparable analytical language, Approved AI platforms, Power BI, Excel, Model / code repository, Salesforce and approved data environments.

Role Success Indicators

• Recommendation precision and useful coverage
• Validation and explainability quality
• Seller adoption and feedback capture
• Stable, documented methods
• Improvement from observed outcomes
• Responsible-AI compliance and reusable analytical assets

Key Working Relationships

Works with Sales leaders and sellers, the Sales Tower, Solution & Strategy, Data and AI stakeholders, KPI Reporting, Analytics Shared Services, Finance and Sales Operations, and Partner Execution leadership.

Role Scope Clarification

This role requires generalist knowledge across strategic partners and the ability to learn partner-specific programs, terminology, systems, and processes. This role is not dedicated to a single partnership.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $103,275 - 191,250. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including 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, and additional voluntary or legally-required benefits.

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