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Lead Analyst (GTM Productivity Analytics)

Wiz

full-remoteleadpermanentdataproduct-management Full remote 2 days ago via WTTJ

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Tags

Predictive AnalyticsCapacity PlanningGTM (Go-To-Market)Sales ModelingFinancial ModelingData PipelinesBigQuerydbtLookerExecutive Stakeholder Management

About the role

Role Overview

Lead Analyst for GTM Productivity Analytics within the company’s Go-To-Market organization. You will partner with GTM Leadership and Financial Planning & Analysis (FP&A) to deliver insights, modeling, and systems that improve capacity planning, productivity, and quota attainment.

Responsibilities

  • Design, build, and maintain predictive capacity models using productivity trends, historical data, and strategic hiring plans.
  • Own and enhance core models and dashboards tracking GTM attainment, productivity, and performance vs. quotas.
  • Conduct deep analysis to support annual planning and quarterly forecasting, guiding sales behavior and performance.
  • Partner with IT and BI teams to strengthen data and analytics infrastructure and systems.
  • Represent the analytics team in cross-functional strategic initiatives and drive alignment on standardized metrics.

Requirements

  • 6+ years progressive experience in analytics, data operations, consulting, or a similar analytics-focused role, with strong emphasis on sales and/or financial modeling.
  • Experience designing, building, and maintaining scalable predictive models, data pipelines, and analytical tools in a fast-paced, high-growth environment.
  • Ability to synthesize data into actionable insights and communicate complex findings to executive stakeholders.
  • Understanding of how high-growth GTM teams operate and how to collaborate effectively with FP&A.

Nice-to-Haves

  • Experience with modern data tooling such as BigQuery, dbt, and Looker (ability to learn new technologies quickly is prioritized).

About Wiz

Wiz is a rapidly growing Go-To-Market (GTM) organization. The role sits within GTM productivity analytics, partnering with GTM leadership and FP&A to drive insights for capacity, productivity, and quota attainment. The company operates in a data-driven, cross-functional environment that involves analytics, BI, and strategic planning.

Scraped 5/15/2026

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