Associate, Business Operations & Analytics

present of AI; New York (NY); On-site; USD 70,000 - 110,000; Full time

Job summary

present of AI is seeking an Associate, Business Operations & Analytics in New York. You will turn fuzzy business questions into clear hypotheses and own the data analysis from start to finish.

You will partner with stakeholders across teams and communicate insights clearly. Embedded in growth, product, AI and automation, you’ll use SQL and Python to structure data, run experiments, and deliver findings that drive actionable decisions.

Qualifications

• 1+ year of analytical work from consulting, banking, or a fast-moving tech company.
• Proficiency with SQL or Python and data querying.
• Habit of asking what problem is being solved before building anything.

Responsibilities

• Break down fuzzy business questions into clear hypotheses and data plans.
• Pull, clean, and structure data; own the analysis from start to finish.
• Translate findings into actionable recommendations for cross-functional teams.

Skills

SQL

Python

First principles problem solving

Job description

Associate, Business Operations & Analytics

This role is for someone who can take a fuzzy business question, break it into clear hypotheses, pull and structure the data, and turn findings into a decision a team will act on. The person is embedded in one business area such as growth, product, AI and automation, or partnerships, and owns the analysis for it from start to finish. A strong candidate brings a year or more of analytical work from consulting, banking, or a fast moving tech company, plus comfort with SQL or Python and the habit of asking what problem is being solved before building anything.

How it fits the AI era

AI speeds up the routine parts of this work, like drafting queries, cleaning data, and producing first pass reports, so the person can spend more time on framing the right question and judging what the numbers mean. The judgment calls stay human: deciding which metric matters, spotting a flawed question, and persuading a skeptical team to act. The role also sits near the company's AI and automation work, so the person helps decide where automation fits and where it does not.

How it builds AI experience

Working here means seeing how AI is applied to insurance shopping, pricing comparisons, and car ownership tasks across many insurers, which builds a practical sense of where models help and where data quality limits them. A candidate can prepare by getting hands on with SQL and Python on messy real datasets and by learning to test whether an AI driven change actually moves a business metric. Experience with experiments and automation projects is worth showing, since the team supports an AI and automation area directly.

Worth showing

• SQL and Python
• First principles problem solving

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Jerry

A free app that uses AI to shop car insurance across 100+ insurers, per the company, and manage the rest of car ownership, maintenance, recalls and refinancing, in one place.