MongoDB

2 months ago

Senior Sales Operations Analyst

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

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: 4.1

Website LinkedIn

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MongoDB

2 months ago

Senior Sales Operations Analyst

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

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

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: 4.1

Website LinkedIn