Senior BizOps & Analytics Associate - Growth & Experiments

Jerry.ai

United States

Remote

USD 100,000 - 150,000

Full time

10 days ago
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Job summary

Jerry.ai is hiring a Senior Associate, BizOps & Analytics to drive data-driven decisions across critical initiatives, including carrier growth and new product launches. You will leverage advanced machine learning insights to shape growth strategies and partner with marketing, product, and bizdev to translate insights into actionable plans.

The role focuses on designing and evaluating experiments, optimizing user acquisition, and scaling key metrics in a remote-first, high-growth environment.

Qualifications

  • Bachelor's degree in a quantitatively or intellectually rigorous discipline.
  • 2 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in business analysis/operations.
  • High level of comfort with SQL and/or running complex data analysis.

Responsibilities

  • Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies.
  • Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies.
  • Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth.
  • Identify opportunities to automate manual processes and optimize operational efficiency.

Skills

SQL
Data analysis
First principles
Cross-functional collaboration

Education

Bachelor's degree in a quantitative discipline

Job description

Jerry.ai is hiring a Senior Associate, BizOps & Analytics to drive data-driven decisions across critical initiatives, including carrier growth and new product launches. You will leverage advanced machine learning insights to shape growth strategies and partner with marketing, product, and bizdev to translate insights into actionable plans.

The role focuses on designing and evaluating experiments, optimizing user acquisition, and scaling key metrics in a remote-first, high-growth environment.

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