Senior Data Analyst, GTM Analytics

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst, GTM Analytics based in United States. This role sits at the intersection of analytics, business strategy, and modern data infrastructure, supporting Sales, Marketing, and Client Success. You will turn complex go-to-market questions into actionable insights that influence pipeline, conversion, campaign performance, and retention. The position combines hands-on analysis with data modeling, quality ownership, and development of scalable analytics practices. You will contribute to an evolving BI-as-code environment where metrics, dashboards, and semantic definitions are managed like software. AI and agentic workflows are central to the team’s direction, creating opportunities to automate repetitive analysis and accelerate decision-making. Working in fast two-week sprints, you will partner closely with business leaders and analytics engineering to deliver work that is quickly put into practice. This is an opportunity for an experienced analyst to shape both business decisions and the future of a modern, AI-forward GTM analytics function. Deliver decision-ready analysis across Sales, Marketing, and Client Success, covering pipeline health, funnel conversion, campaign and channel performance, cohorts, retention, and GRR/NRR drivers. Partner directly with business stakeholders to define analytical questions, develop recommendations, and carry insights through to business decisions rather than simply delivering reports. Translate ambiguous stakeholder requests into structured, testable analytical approaches with clear objectives and measurable outcomes. Build and maintain dbt models and data marts supporting Sales, Marketing, and Customer Success, using Salesforce as a core source system. Own data quality and documentation for assigned domains, establishing reliable definitions, source-of-truth datasets, and quality assurance practices. Contribute to the development of a BI-as-code environment, helping define how dashboards, metrics, and semantic models are created, versioned, reviewed, and maintained. Help advance agentic analytics workflows by using AI agents to accelerate analysis, automate recurring reporting, and reduce manual dashboard requests. Evaluate where AI can effectively replace or augment manual analytical work while maintaining appropriate human oversight and analytical rigor. Use Python, SQL, dbt, and AI-assisted development tools to automate repetitive tasks and improve analytical efficiency. Manage an individual analytics backlog within two-week sprints, aligning priorities with team objectives and communicating progress proactively. Collaborate closely with Analytics Engineering and GTM leadership to ensure analytical solutions are scalable, accurate, and directly connected to business priorities. Requirements 5+ years of experience in analytics or business intelligence, including meaningful experience supporting Sales, Marketing, or Customer Success within a fast-growing organization. Demonstrated ability to own complex or ambiguous analytical problems end-to-end and provide strategic direction beyond routine reporting. Expert-level SQL skills and hands-on experience building and maintaining dbt models for go-to-market data. Strong experience working with Salesforce data, including familiarity with CRM objects, fields, relationships, and common data-modeling challenges. Comfortable using Python for analysis, automation, and eliminating repetitive manual workflows. Experience with modern data stacks, including tools such as Fivetran or comparable EL platforms and cloud data warehouses such as Snowflake or BigQuery. Familiarity with modern BI platforms such as Sigma, Hex, Tableau, Looker, or comparable tools is highly desirable. Understanding of governed semantic layers, self-service analytics, BI-as-code, and modern data organization practices. Genuine interest in age