Senior Sales Operations Analyst

MongoDB
Dublin
Workplace: HybridFull timeFunction: Business OperationsExperience: 4-7 yearsSkills: ["Communication","Problem-solving","Presentation","Stakeholder management"]

Senior Analytics role supporting GTM Operations at MongoDB, owning end-to-end analytical workstreams from problem framing with senior stakeholders to data engineering, modeling, dashboards, and executive narratives. Focused on forecasting, segmentation, territory design, and account prioritization to drive concrete decisions across global regions in a hybrid Dublin-based setting.

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FursaFursa
MongoDB
MongoDB
3 months ago

Senior Sales Operations Analyst

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Senior Analytics role supporting GTM Operations at MongoDB, owning end-to-end analytical workstreams from problem framing with senior stakeholders to data engineering, modeling, dashboards, and executive narratives. Focused on forecasting, segmentation, territory design, and account prioritization to drive concrete decisions across global regions in a hybrid Dublin-based setting.
Location: Dublin
Workplace: Hybrid
Employment Type: Full time
Job Function: Business Operations

Key Responsibilities

  • •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.

Key Requirements

  • •~4–7+ 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).
  • •Demonstrated track record owning complex analytics projects end‑to‑end (from scoping through production deployment and stakeholder adoption), ideally in forecasting, segmentation/territory design, or account/deal scoring domains.
  • •Experience working directly with senior commercial stakeholders (e.g., Sales/GTM leaders) 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.
  • •Experience with at least one modern BI / analytics environment (e.g., Sigma, Looker, Tableau) and building self‑serve, governed assets for business users.
Experience:4-7 yearsSaaSAnalyticsData scienceB2BGTM
Skills:CommunicationProblem-solvingPresentationStakeholder management
Languages:English
Tech Stack:SQLPythonSalesforceSigmaLookerTableau

Company Brief

MongoDB
Develops MongoDB, a leading general-purpose, document-based database platform that enables developers and enterprises to build scalable, high-performance applications with flexible data models and cloud-native capabilities.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2007
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn