Principal GTM Operations Analyst

🔥 13 hours ago

🇨🇦 Canada – Remote

💵 $104k - $144k / year

⏰ Full Time

🔴 Lead

⚙️ Operations

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MongoDB

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

MongoDB is a leading developer data platform provider known for its powerful and flexible document database. MongoDB 8. 0, the latest version, boasts 36% higher throughput and enhanced security features, making it the fastest iteration yet. It offers a comprehensive suite of tools and services including MongoDB Atlas, a fully managed cloud database, and Community Edition for local development. MongoDB is popular among developers and enterprises for its ability to support a range of use cases from artificial intelligence to gaming and healthcare. It simplifies the development of modern applications with its versatile platform, allowing integration with various technologies to drive innovation. MongoDB's community and extensive documentation further support developers globally.

📋 Description

• Set the multi-quarter roadmap for GTM model portfolio domains, deciding what to build, retire, or invest in based on measured business impact • Act as the senior analytical thought partner to GTM leadership • Partner with GTM Ops, Sales Strategy & Planning, Sales Leadership, and Central Analytics to scope problems, define success criteria, and prioritize work • Structure ambiguous questions into hypotheses, analytical plans, and recommendations for senior stakeholders • Develop and maintain statistical and machine learning models for forecast expectations, territory assignments, and deal prioritization • Engineer robust data pipelines and features using SQL and Python on GTM data sources including Salesforce, product usage, call transcripts, and marketing signals • Lead flagship programs such as Forecasting 3.0/Atlas Forecasting Calculator, Customer 360 Revamp, GTM Metrics 3.0, and territory optimization initiatives • Build and govern self-serve analytics assets such as Sigma workbooks and curated datasets • Design experiments, holdouts, and causal analyses to quantify revenue and efficiency impact • Deliver executive-ready narratives, memos, scorecards, and QBR/MBR content with explicit recommendations • Run stakeholder working sessions and embed recommendations into operating rhythms • Define use of new GTM data sources for scoring and routing use cases • Set standards for testing, monitoring, documentation, and change management of GTM models and analytics products • Mentor analysts and data scientists, review technical work, and create documentation, playbooks, and training

🎯 Requirements

• ~8-12+ years in analytics, sales operations, data science, or strategy/consulting roles supporting B2B or SaaS go-to-market teams (or equivalent high-impact analytical experience) • Track record owning complex analytics projects end-to-end, from scoping through production deployment and stakeholder adoption • Track record leading multi-quarter, cross-functional analytics programs and influencing executive decisions without direct authority • Experience setting technical direction or standards for a team or portfolio of production models • Experience working directly with senior commercial stakeholders and turning analysis into concrete decisions and measurable business impact • Advanced SQL and strong Python (or equivalent) for data wrangling, feature engineering, and statistical/ML modeling • Comfort working with large, messy datasets spanning CRM (Salesforce), product usage, and marketing/sales engagement tools • Experience with at least one modern BI/analytics environment, such as Sigma, Looker, or Tableau • Solid grounding in statistical thinking, sampling, backtesting, lift/impact measurement, and model validation • Experimentation and causal inference, including A/B and holdout design, difference-in-differences, and regression discontinuity • Experience with forecasting and time-series models • Ability to decompose ambiguous business questions into structured analytical plans • Strong written and verbal communication • Bias toward action and ownership • Prior experience in Sales Operations/Revenue Operations or GTM Strategy at a high-growth SaaS company is nice to have • Experience with commercial applications of NLP/LLMs is nice to have • Familiarity with MongoDB’s ecosystem or similar modern cloud data platforms is nice to have • Experience contributing to Customer 360, self-serve analytics, or GTM data/metrics standardization programs is nice to have

🏖️ Benefits

• Equity • Participation in the employee stock purchase program • Flexible paid time off • 20 weeks fully-paid gender-neutral parental leave • Fertility and adoption assistance • Registered Retirement Savings Plan (RRSP) with employer match • Mental health counseling • Backup child and elder care • Health, dental, and vision benefits offerings • Employee affinity groups • Supportive and enriching culture • Disability accommodations during the application and interview process

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