Sales Strategy & Data Analytics: GTM Decision Intelligence Quantitative Analyst

Role Overview

The role combines bookings, market data, account plans, partner targets, and offerings to develop, test, explain, operationalize, and improve evidence-based go-to-market recommendations for sales leaders and sellers.

What You Will Do

The Analyst will frame ambiguous commercial questions as testable analytical problems, combine structured and unstructured internal and external data, design account-solution-partner-fit methods, and use approved AI capabilities for synthesis, classification, comparison, research acceleration, and analytical workflow orchestration.

Why It Might Be a Fit

The role requires a strong knowledge of feature design, validation, explainability, data quality, bias and drift considerations, and analytical documentation, as well as the ability to build broad knowledge across partner ecosystems, industries, solutions, sales motions, market signals, account planning, and commercial performance.

Requirements

• 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

Tagged as: Data Analysis