Manager, BizOps & Analytics

Jerry.ai•Los Angeles, CA

8d•$160,000 - $180,000•Remote

About The Position

Jerry.ai is seeking a Manager, BizOps & Analytics to join their central BizOps & Analytics team. This role involves embedding within a core business area (growth, product, AI and automation, or strategic partnerships) and owning the analytical function end-to-end for that unit. The position requires defining the right problems, generating data and insights, and driving outcomes. The BizOps & Analytics team acts as a force multiplier, driving data-driven decision-making across product, growth, tech, and operations to help Jerry.ai achieve its goal of reaching 50 million customers and becoming a $10 billion business in the next four years. This is a hands-on role that combines strategy with execution, focusing on work that materially changes the trajectory of the business.

Requirements

4+ years of experience at a consulting firm, investment bank, or high-growth technology company.
Strong analytical skills; ability to pull, structure, and interpret data independently.
Track record of owning ambiguous problems and delivering impact.
Clear, persuasive communicator who can influence decisions at the leadership level.
First principles thinker: Break ambiguous problems into clear hypotheses before touching data.
Analytically strong (comfortable with Excel, SQL or Python).
Direct communicator: Can walk a skeptical stakeholder through a complex finding and get buy-in quickly.
Owner: Acts like their name is on the door; feels responsible for fixing things even if outside their swim lane.

Responsibilities

Sit on the central BizOps & Analytics team but be embedded in one of Jerry's core business areas (growth, product, AI and automation, strategic partnerships) and own the analytical function for that business unit end-to-end.
Define the right problems: Understand what business question an analysis is answering and what decision it will inform, pushing back if the question is flawed.
Generate data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move the team's key metrics.
Drive outcomes: Bring recommendations to counterparts in product, growth, finance, or operations, explaining what's happening, why, and outlining next steps.