Staff Analyst

Leads sales and go-to-market analytics, building scalable data products and translating complex business questions into actionable recommendations. Requires 6+ years of analytics experience, strong SQL and Python skills, and the ability to influence senior cross-functional stakeholders.

About the job

Responsibilities

Partner with Sales, Sales Operations, Strategy & Planning, FP&A, Compensation, GTM Tech, and broader GTM stakeholders to identify analytical opportunities and turn them into actionable insights.
Lead analyses across pipeline health, funnel conversion, seller productivity, quota attainment, coverage and territory effectiveness, forecasting, and GTM performance.
Translate ambiguous business questions into structured analyses, recommendations, and scalable data solutions.
Connect GTM outcomes with product and customer signals to identify growth opportunities and deepen understanding of the customer journey.
Partner with Product and Technical teams on decisions involving commercial strategy, product behavior, and operational execution.
Build scalable dashboards, datasets, reporting layers, analytical frameworks, and self-service tools.
Use SQL and Python for data extraction, transformation, analysis, automation, modeling, and repeatable insight generation.
Apply AI technologies and platforms to improve analytical workflows and develop reusable data and insight products.
Present clear, actionable findings to stakeholders, including senior leaders.
Partner with Data Engineering, Data Architecture, IT, and analytics teams to improve sales and GTM data assets.
Strengthen data governance, metric consistency, and reporting reliability.
Improve team processes, share best practices, and mentor analysts where appropriate.

Requirements

6+ years of experience in Sales Analytics, GTM Analytics, Revenue Analytics, Business Analytics, or a related field.
Strong fluency in SQL and Python.
Experience working with large, messy datasets and translating complex analyses into business recommendations.
Experience supporting go-to-market, sales, revenue, customer, or commercial organizations in a SaaS or high-growth technology environment.
Ability to work across business and technical teams and influence decisions through data and structured thinking.
Experience building scalable analytics assets, including data models, dashboards, automated workflows, decision frameworks, or reusable insight products.
Ability to connect business questions to product usage, customer behavior, and operational signals.
Strong foundation in data modeling, metric design, data quality, and data governance.
Ability to lead ambiguous, cross-functional projects from problem framing through delivery and adoption.
Excellent communication and stakeholder management skills.
Hands-on experience with modern AI technologies or platforms for analysis and productivity.
Strong ownership and judgment.

Nice to Have

Experience across both GTM analytics and product analytics.
Familiarity with product telemetry, customer health signals, usage trends, or product-led growth.
Experience partnering with Product, Engineering, Data Engineering, or GTM Systems/GTM Tech teams.
Experience supporting technical product portfolios.
Experience building internal analytical tools, automation, or scalable data products.
Experience with experimentation, forecasting, machine learning, or advanced statistical methods.
Experience with Tableau or similar BI tools.
Familiarity with Salesforce and other GTM systems.