Senior Sales Operations Analyst

Responsibilities

• Translate GTM questions into analytical projects by partnering with GTM Operations, Sales Strategy & Planning, Sales Leadership, and Central Analytics.
• Structure ambiguous questions into hypotheses, analytical plans, and recommendations for senior stakeholders.
• Develop and maintain statistical and machine learning models for forecasting, territory assignments, deal qualification, account prioritization, and workload identification.
• Engineer robust data pipelines and features using SQL and Python across Salesforce, product usage, call transcripts, and marketing signals.
• Contribute to forecasting, Customer 360, GTM metrics, and territory optimization initiatives.
• Build and govern self-service analytics assets, including Sigma workbooks and curated datasets.
• Deliver executive-ready narratives, memos, scorecards, and QBR/MBR content with explicit recommendations.
• Run stakeholder working sessions and embed analytical recommendations into operating rhythms.
• Help develop GTM data and AI use cases, including call transcript modeling, workload inference, account intelligence, scoring, and routing.
• Partner on testing, monitoring, documentation, and change management for GTM models and analytics products.
• Create documentation, playbooks, and training, and contribute to peer review and knowledge sharing.

Requirements

• Approximately 4–7+ years of experience in analytics, sales operations, data science, or strategy/consulting supporting B2B or SaaS go-to-market teams, or equivalent analytical experience.
• Experience owning complex analytics projects end-to-end, from scoping through production deployment and stakeholder adoption.
• Experience working directly with senior commercial stakeholders and translating analysis into measurable business impact.
• Advanced SQL and strong Python skills for data wrangling, feature engineering, and statistical or machine learning modeling.
• Experience working with large, messy datasets across CRM, product usage, and marketing or sales engagement tools.
• Experience with a modern BI or analytics environment and governed self-service assets.
• Strong grounding in statistical thinking, backtesting, impact measurement, and model validation.
• Ability to decompose ambiguous business questions into structured analytical plans.
• Strong written and verbal communication with non-technical stakeholders.
• Ownership mindset and comfort making recommendations under uncertainty.

Nice to Have

• Sales Operations, Revenue Operations, or GTM Strategy experience at a high-growth SaaS company.
• Experience with forecasting and time-series models or commercial NLP/LLM applications.
• Familiarity with MongoDB’s ecosystem or modern cloud data platforms.
• Experience with Customer 360, self-service analytics, or GTM data and metrics standardization.