Manager, BizOps & Analytics

Jerry.ai•New York, NY

5d•$150,000 - $170,000

About The Position

Jerry.ai is seeking a Manager for its BizOps & Analytics team. This role involves embedding within a core business area (growth, product, AI and automation, or strategic partnerships) to own the analytical function end-to-end. The team acts as a force multiplier, driving data insights and informing decision-making across the company. The BizOps & Analytics team is composed of individuals who are analytical powerhouses and first principles problem solvers, pushing forward critical initiatives. The goal is to help Jerry.ai grow from 5 million to 50 million customers and become a $10 billion business in the next four years. This role is hands-on, requiring not only analytical insights but also ownership of execution, driving recommendations and seeing them through to completion.

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.
Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics.
Drive outcomes: Bring recommendations to counterparts in product, growth, finance, or operations, explain what's happening and why, and outline next steps.