Global RevOps Analyst — AI-Driven Growth & Insights

Crew

Argentina

Remote

ARS 1,800,000 - 3,000,000

Full time

14 days+

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Job summary

Jeeves is seeking a growth analytics professional to own the analytical layer connecting sales activity to revenue outcomes. You will build dashboards, maintain data integrity, and surface insights to guide GTM leadership.

You will collaborate with the Head of Revenue Operations on planning, reviews, and AI-driven process improvements. The role emphasizes rapid, scalable analysis across multi-region initiatives, with a strong focus on data quality, forecasting, and cross-functional partnership.

Qualifications

  • 2–4 years in Revenue Operations, Sales Operations, Business Analytics, or related GTM-adjacent role.
  • Hands-on Tableau experience required; demonstrate dashboards you’ve built from scratch.
  • Advanced proficiency in Excel and Google Sheets; pivot tables and financial modeling.

Responsibilities

  • Build and maintain Tableau dashboards tracking performance across partnerships and growth initiatives.
  • Analyze conversion rates, pipeline health, ramp trends, and revenue attainment; surface patterns early.
  • Provide interpretation and recommendations when programs underperform or trends shift.
  • Support GTM reviews with cohort breakdowns, market benchmarks, and forward-looking indicators.
  • Contribute to capacity planning, quota-setting, and attainment reporting; stress-test assumptions.

Skills

Tableau mastery
Advanced Excel
Strong SQL
Data integration
Business metrics fluency
Data modeling

Education

Bachelor’s degree in Business, Finance, Economics, Data Science, or related field

Tools

Tableau
Excel
Google Sheets
SQL
HubSpot

Job description

Jeeves is seeking a growth analytics professional to own the analytical layer connecting sales activity to revenue outcomes. You will build dashboards, maintain data integrity, and surface insights to guide GTM leadership.

You will collaborate with the Head of Revenue Operations on planning, reviews, and AI-driven process improvements. The role emphasizes rapid, scalable analysis across multi-region initiatives, with a strong focus on data quality, forecasting, and cross-functional partnership.

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