MongoDB
Technology
SalesOperationsAnalyst
Neural analysis suggests this role is
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“Sales Operations Analyst at MongoDB. Skills: Sales operations, Data science, Analytics, Forecasting. Translate GTM questions into analytical projects. Partner with GTM Ops, Sales Strategy & Planning,”
What You'll Achieve.
Drive concrete changes in the field; Make better, faster decisions; Turn analysis into decisions and change; Embed recommendations into operating rhythms
Industry & Context.
Problem framing; Analytical planning; Root cause analysis
What They're Looking For.
Must Have
4–7+ years in analytics, sales operations, data science, or strategy/consulting roles supporting B2B or SaaS go-to-market teams, Demonstrated track record owning complex analytics projects end-to-end, Experience working directly with senior commercial stakeholders, Advanced SQL and Python for data wrangling, feature engineering, and statistical / ML modeling, Comfort working with large, messy datasets spanning CRM, product usage, and marketing/sales engagement tools, Experience with at least one modern BI / analytics environment, Solid grounding in statistical thinking and model validation practices, Ability to decompose ambiguous business questions into structured analytical plans
Nice to Have
Prior experience in Sales Operations / Revenue Operations or GTM Strategy at a high-growth SaaS company, Experience with forecasting and timeseries models, Commercial applications of NLP / LLMs, Familiarity with MongoDB’s ecosystem, Experience contributing to cross-functional programs
What You'll Do.
Translate GTM questions into analytical projects
Sales Strategy & Planning
Define success criteria
Prioritize work across areas like segmentation
Structure ambiguous questions into hypotheses
Design and build scalable analytics & models
Develop and maintain statistical and machine learning models
Inform forecast expectations
territory assignments
and deal prioritization
Engineer robust data pipelines and features
Contribute to flagship programs
Ensure programs are statistically sound
Build and govern self-serve analytics assets
executive-ready narratives
Highlight trade-offs and explicit recommendations
Run stakeholder working sessions to align on scenarios
Validate model outcomes
Embed recommendations into operating rhythms
Shape and exploit new GTM data sources
Partner with Central Analytics and GTM Tech on
Create clear documentation
Help other analysts and GTM stakeholders understand and
Contribute to a culture of technical rigor
How You'll Work.
Team & Collaboration
Partner with GTM stakeholders; Partner with data and platform teams; Work with Central Analytics; Work with GTM Tech; Peer review; Knowledge sharing
Communication Scope
Executive presentations; Technical documentation; Stakeholder communication
Process & Methodology
Roadmap planning, Prioritization
Full Job Description
GTM Operations & Strategy at MongoDB is a global team of builders and innovators focused on unleashing MongoDB’s sales greatness by pairing world‑class analytics with scalable operations. Within GTM Operations, the GTM Intelligence – Applied Science team turns complex GTM data into tools, models, and insights that help our sales organization make better, faster decisions across our people, segmentation, territory design, forecasting, and account prioritization. As a Senior Analyst on the Applied Science team, you will own high‑impact analytical workstreams end‑to‑end: from problem framing with senior GTM stakeholders, to data engineering and model design, through to productionalized workflows, dashboards, and executive‑ready narratives that drive concrete changes in the field. This role is based in Dublin, Ireland and supports a global stakeholder set across regions and GTM functions. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What You’ll Do Translate GTM questions into analytical projects Partner with GTM Ops, Sales Strategy & Planning, Sales Leadership, and Central Analytics to scope problems, define success criteria, and prioritize work across areas like segmentation, territory design, account prioritization, and pipeline/forecast health. Structure ambiguous questions into hypotheses, analytical plans, and clear recommendations for senior stakeholders (SVPs, RVPs, functional leaders). Design and build scalable analytics & models Develop and maintain statistical and machine learning models (e.g., NARR prediction, deal qualification, account momentum, workload identification) that inform forecast expectations, territory assignments, and deal prioritization. Engineer robust data pipelines and features (SQL/Python) on top of our GTM data stack (Salesforce, product usage, call transcripts, marketing signals, etc.) in partnership with data and platform teams. Own core GTM analytics assets Contribute to flagship programs
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