Senior Data Analyst, GTM Analytics

Role Overview

• Live by and champion all of our core values (#ownership, #empathy, #day-one, and #humility).
• Build and maintain durable, documented, tested models in dbt that power GTM reporting (e.g., pipeline, funnel, conversion, bookings, forecasting, rep performance, account health).
• Design dimensional models (facts/dimensions), metrics definitions, and “one version of the truth” datasets to make analysis repeatable and trustworthy.
• Develop and maintain Looker explores, dashboards, and standardized reporting that enable self-serve by the GTM organization.
• Implement data quality checks, monitoring, and model documentation so stakeholders can confidently act on results.
• Partner with data engineering on upstream improvements (instrumentation, source system hygiene, pipeline reliability).
• Collaborate with GTM stakeholders to clarify business questions and translate them into analysis plans, metrics, and decision frameworks.
• Perform analysis using SQL (and Python as needed) to identify trends, diagnose performance, and recommend actions (e.g., funnel bottlenecks, win-rate drivers, deal velocity, territory/segment opportunities).
• Build GTM narratives that connect data to decisions—clearly communicating insights with business context to leaders and cross-functional partners.
• Proactively monitor performance and adoption signals to surface risks, anomalies, and opportunities—then drive stakeholders toward resolution.
• Identify high-leverage GTM “insight bottlenecks” and design data products to solve them (e.g., standardized KPI hubs, automated pipeline risk alerts, self-serve funnels, guided explorations, executive views).
• Leverage LLMs/AI to accelerate insight workflows—examples might include: AI-assisted “metric explainers” embedded into dashboards, natural-language Q&A experiences over curated GTM datasets, automated insight summaries / anomaly narratives for weekly GTM reviews, guided self-serve templates (“answer this question in 3 clicks”) for common GTM use cases.
• Establish success metrics for data products (e.g., reduced time-to-insight, increased self-serve usage, fewer ad-hoc requests, improved forecast accuracy).
• Work independently in ambiguous environments—framing problems, generating hypotheses, and leading toward outcomes.
• Manage multiple priorities and communicate clearly through Slack, docs, and live stakeholder readouts.
• Contribute to team standards (modeling patterns, documentation, code review, stakeholder intake).
• Mentor other analysts through collaboration, query/design feedback, and best practices (where applicable to your team structure).

Requirements

• 5+ years of experience using analytics to solve business problems in fast-paced environments.
• Advanced SQL skills and a track record of delivering actionable insights to non-technical stakeholders.
• Strong experience in analytics engineering: dbt (dimensional modeling, testing, documentation, version control workflows) and Looker (explores/dashboards, scalable self-serve design).
• Experience translating ambiguous business questions into metrics, analyses, and recommendations—then driving alignment with GTM leaders.
• Strong communication skills across audiences (GTM leadership, RevOps, Finance, Product, Engineering).
• High self-sufficiency, strong judgment, and comfort making tradeoffs under time constraints.
• Demonstrated experience leveraging LLMs/AI to improve business workflows (or strong evidence you can ramp quickly and apply AI pragmatically).
• Product mindset focused on users, adoption, impact, and measurable outcomes—not just outputs (queries/dashboards).
• Experience supporting GTM analytics (pipeline, forecasting, productivity, territories, win-rate, funnel conversion).
• Experience in Snowflake and modern analytics stack operations.
• Nice to have Python proficiency for deeper analysis, automation, or prototyping.
• Payments and/or ecommerce experience.

Tech Stack

• Python
• SQL

Benefits

• Compensation offerings grounded in a pay-for-performance philosophy
• Salary ranges competitive and aligned with country-specific practices