Senior Sales Operations Analyst

MongoDB

Hybrid

Quick summary

Work type
Hybrid
Location
Dublin, Ireland
Posted
12 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $160k
$119k most similar roles pay here $201k

This listing doesn't post a salary. Most similar roles pay $126,500–$193,000.

Based on 240 similar postings.

Employer

About MongoDB

MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.

MongoDB currently has 287 open roles on FindRole.

Listed pay typically runs $126,500–$209,000 across 104 roles with salary data.

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At a glance

TL;DR · Senior Sales Operations Analyst

As a Senior Analyst on the Applied Science team at MongoDB in Dublin, Ireland, you will lead high-impact analytical projects by partnering with GTM stakeholders to frame problems and develop data-driven solutions. Your daily tasks include designing statistical models and machine learning algorithms using SQL and Python, creating robust data pipelines, and building self-service analytics tools for business users. You will contribute to flagship programs like Forecasting 3.0 and Customer 360 Revamp, ensuring they are operationally durable and statistically sound. Additionally, you will communicate complex analyses in clear narratives and work sessions, advancing MongoDB’s GTM data foundations by integrating new data sources such as call transcripts and product usage metrics. Ideal candidates have 4-7 years of experience in analytics or sales operations with a strong background in statistical thinking and modern BI tools.

What you'll do

  • Translate complex GTM questions into actionable analytical projects.
  • Design and build scalable statistical and machine learning models for sales operations.
  • Develop robust data pipelines and features using SQL/Python on GTM data stacks.
  • Own core GTM analytics assets, ensuring they are operationally durable and self-servable.
  • Deliver executive-ready narratives that highlight trade-offs and explicit recommendations.
  • Advance GTM data & AI foundations by unlocking novel scoring and routing use cases.
  • Coach and document models, tools, and datasets for other analysts and stakeholders.

What we're looking for

  • 4-7 years of experience in analytics, sales operations, data science, or strategy roles supporting B2B/SaaS go-to-market teams.
  • Proven track record owning complex analytics projects end-to-end, including forecasting and territory design.
  • Strong SQL and Python skills for data wrangling, feature engineering, and statistical/ML modeling.
  • Experience working with large datasets from CRM systems, product usage, and marketing tools.
  • Ability to decompose ambiguous business questions into structured analytical plans and communicate findings effectively.
  • Comfortable working directly with senior commercial stakeholders and turning analysis into concrete decisions.
  • Solid grounding in statistical thinking and model validation practices.

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