# Senior Sales Operations Analyst

**Company:** [MongoDB](https://hotfix.jobs/companies/mongodb)
**Location:** Cork, Ireland, Dublin, Ireland
**Role:** Data Analytics
**Experience:** 7+ years
**Skills:** SQL, Python, Machine Learning, Statistical Modeling, Data Wrangling, Feature Engineering, Salesforce, Sigma, Looker, Tableau, Time-Series Modeling, Natural Language Processing, LLMs, Backtesting, Model Validation
**Posted:** 2026-08-19

> Owns end-to-end GTM analytics and modeling initiatives, turning complex sales data into forecasting, segmentation, territory, and prioritization solutions. The role requires advanced SQL and Python, statistical or machine learning experience, strong stakeholder communication, and approximately 4–7+ years of relevant experience.

## Job Description

## 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.

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