Senior Sales Operations Analyst

United States Digital Space LLC; Cork; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

United States Digital Space LLC is seeking a Senior Analyst for the Applied Science team in Dublin, Ireland, with a hybrid work model. You will own high‑impact analytics projects end‑to‑end, from problem framing with GTM stakeholders to production dashboards and executive narratives that drive concrete changes in the field.

You’ll partner across GTM Ops, Sales Strategy & Planning, and Central Analytics to scope problems, design scalable models, and deliver self‑serve analytics assets that

Qualifications

• 4–7+ years in analytics, sales operations, data science, or strategy/consulting roles supporting B2B or SaaS go‑to‑market teams.
• Experience owning analytics projects end‑to‑end from scoping to production deployment and stakeholder adoption.
• Experience with senior commercial stakeholders and turning analysis into concrete decisions and business impact.

Responsibilities

• Translate GTM questions into analytical projects.
• Partner with GTM Ops, Sales Strategy & Planning, Sales Leadership, and Central Analytics to scope problems and prioritize work.
• Structure ambiguous questions into hypotheses, analytical plans, and clear recommendations for senior stakeholders.
• Design and build scalable analytics and models.
• Develop and maintain statistical and machine learning models.
• Engineer robust data pipelines and features on top of the GTM data stack.
• Own core GTM analytics assets.
• Turn analysis into decisions and change.
• Deliver executive‑ready narratives and dashboards.
• Run stakeholder sessions to validate model outcomes and embed recommendations.

Skills

Advanced SQL

Python

Forecasting

Statistical Modeling

Stakeholder comms

Tools

Sigma

Looker

Tableau

Job description

GTM Operations & Strategy at the company is a global team of builders and innovators focused on unleashing the company’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 or Cork 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 such as Forecasting 3.0 / Atlas Forecasting Calculator, Customer 360 Revamp, GTM Metrics 3.0, and territory optimization initiatives, ensuring they are statistically sound, explainable, and operationally durable.

• Build and govern self-serve analytics assets (e.g., Sigma workbooks, curated datasets) that allow GTM stakeholders to answer their own questions safely and consistently.

• Turn analysis into decisions and change

• Deliver concise, executive‑ready narratives (memos, scorecards, and QBR/MBR content) that highlight trade‑offs and explicit recommendations, not just data and charts.

• Run stakeholder working sessions to align on scenarios, validate model outcomes, and embed recommendations into operating rhythms (e.g., segmentation reviews, annual planning, forecast calls).

• Advance our GTM data & AI foundations

• Help shape and exploit new GTM data sources such as call transcript modeling, workload inference, and account intelligence to unlock novel scoring and routing use cases.

• Partner with Central Analytics and GTM Tech on best practices for testing, monitoring, documentation, and change management for GTM models and analytics products.

• Coach, document, and uplevel the org

• Create clear documentation, playbooks, and training to help other analysts and GTM stakeholders understand and safely use the models, tools, and datasets you own.

• Contribute to a strong culture of technical rigor, peer review, and knowledge sharing within Sales Intelligence and the broader GTM Operations community.

What We’re Looking For

Experience

• ~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.

Technical Skills

• Advanced SQL and strong Python (or equivalent) for data wrangling, feature engineering, and statistical / ML modeling.

• Comfort working with large, messy datasets spanning CRM (Salesforce), product usage, and marketing/sales engagement tools.

• Experience with at least one modern BI / analytics environment (e.g., Sigma, Looker, Tableau) and building self‑serve, governed assets for business users.

• Solid grounding in statistical thinking (sampling, backtesting, lift/impact measurement) and model validation practices.

Problem‑Solving & Communication

• Ability to decompose ambiguous business questions into structured analytical plans, with clear assumptions, risks, and trade‑offs.

• Strong written and verbal communication: you can explain complex models and data decisions in simple, GTM‑friendly language and build trust with non‑technical stakeholders.

• Bias toward action and ownership: you are comfortable making recommendations under uncertainty and iterating as new data arrives.

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, or commercial applications of NLP / LLMs (e.g., call transcript analytics, opportunity notes analysis).

• Familiarity with the company’s ecosystem (Atlas, GTM motions, sales process) or similar modern cloud data platforms.

• Experience contributing to cross‑functional programs such as Customer 360, self‑serve analytics initiatives, or GTM data/metrics standardization.

About the company

the company is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. the company’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, the company Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on the company for their most important applications, we’re powering the next era of software.

Our compass at the company is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us the company.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone.

• From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.

Learn more about what it’s like to work at the company, and help us make an impact on the world!

the company is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.