Senior GTM Data Analyst

Responsibilities

• Serve as a primary analytics partner to GTM leadership, helping shape business questions, define requirements, and deliver insights that influence strategic and operational decisions.
• Build, maintain, and improve dashboards, self-service reporting, and analytical tools that give stakeholders fast, accurate visibility into performance, trends, and opportunities.
• Own and improve core data models and pipelines, using tools such as dbt to develop well-structured, reliable, and scalable datasets that power GTM analytics.
• Partner with IT, BI, Data, Operations, Finance, and Business teams to strengthen data infrastructure, improve data quality, and align on standardized metrics, definitions, and methodologies.
• Conduct advanced analytical work, including exploratory deep dives, statistical analysis, regressions, segmentation, funnel analysis, and other methods that surface actionable recommendations.
• Use AI and modern analytical tools to increase the speed, quality, and scope of your work, from analysis and documentation to prototyping, automation, and data exploration.
• Represent Analytics in cross-functional initiatives, proactively identifying opportunities to improve workflows, automate repetitive work, and build scalable solutions that create leverage for the broader team.

Requirements

• 3–4+ years of experience in analytics, data operations, consulting, business intelligence, revenue operations, or a similar data-focused role.
• Strong analytical fundamentals, including advanced SQL skills and experience working with complex datasets, data models, dashboards, and reporting systems.
• Clear communication and business judgment, with the ability to translate ambiguous business problems and complex analyses into actionable recommendations for senior stakeholders.
• Curiosity and technical adaptability, including interest in learning new tools, experimenting with AI-enabled workflows, and expanding into areas like Python or modern analytical modeling.

Nice-to-Haves

• Familiarity with VSCode, Github, BigQuery, dbt, Python, Looker, or similar modern data tools is a plus.

Compensation & Benefits

• US Base Pay Range: $125,000–$172,000 USD
• Medical, dental and vision insurance
• Home Office Setup reimbursement
• Flexible Spending Accounts
• Monthly Connectivity reimbursement
• Employee Assistance Program (EAP)
• Short- and Long-term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan (with employer match)
• Flexible paid time off + 11 paid holidays
• Paid leave programs, including parental, pregnancy health, medical and bereavement leave