Senior Gtm Data Analyst

Wiz Wiz · Enterprise · New York, NY · RevOps

Seeking an AI-forward Senior GTM Data Analyst to partner with GTM leadership, build dashboards and models, own data pipelines using dbt, conduct advanced analytics, and leverage AI tools to drive data-driven decision-making and strategic priorities.

What you'd actually do

  1. Serve as a primary analytics partner to GTM leadership, helping shape business questions, define requirements, and deliver insights that influence strategic and operational decisions.
  2. Build, maintain, and improve dashboards, self-service reporting, and analytical tools that give stakeholders fast, accurate visibility into performance, trends, and opportunities.
  3. 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.
  4. 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.
  5. Conduct advanced analytical work, including exploratory deep dives, statistical analysis, regressions, segmentation, funnel analysis, and other methods that surface actionable recommendations.

Skills

Required

  • 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 have

  • Familiarity with VSCode, Github, BigQuery, dbt, Python, Looker, or similar modern data tools

What the JD emphasized

  • AI-forward individual
  • Use AI and modern analytical tools
  • AI-enabled workflows