Quantitative Analyst- Founders Office

About Easyship: Easyship is a leading global shipping software and API platform trusted by 100,000+ eCommerce merchants to compare couriers, automate fulfilment, and simplify cross-border shipping, taxes and duties. A top-rated Shopify Certified Technology Provider, eBay preferred fulfilment partner, and Amazon preferred multi-channel integrator, Easyship is the G2 category leader (April 2026), offering 550+ courier services worldwide. We believe in accelerating borderless commerce through innovative solutions, and we're proud that brands of all sizes from small business to enterprise trust Easyship for all their shipping needs.

Who We're Looking For: We're looking for a quantitatively brilliant, commercially astute analyst to be the founder's "second brain" in data. You will sit at the centre of the business, see every data point that matters, and turn it into the insight that shapes decisions at the very top. This is not a reporting role, it is a thinking-partner role for someone who wants to understand how every part of the company works through its numbers, and to influence where it goes next.

You will work shoulder-to-shoulder with the founder: framing the questions that matter, building the models and queries to answer them, and translating messy, cross-functional data into sharp, commercial recommendations. Above all, we need someone with genuine business acumen — a person who understands how a company actually makes money and where its levers sit, and who reads the numbers as a story about the business rather than a spreadsheet. If you are equally at home understanding how the business works, writing complex SQL, prototyping with modern AI tooling, and explaining a P&L implication in plain English, this role is built for you.

What you additionally need to know: This is a remote role reporting directly to the Founders. What would be you be responsible for: Acting as the founder's analytical right hand — stress-testing ideas, pressure-checking assumptions, and bringing the data view to every important decision. Building a single, connected picture of the business: understanding how each function's data (revenue, product, ops, marketing, finance) fits together and where the real levers are.

Writing clean, performant SQL to pull, join, and interrogate data across the company's systems — no question is off-limits and no dataset is someone else's problem. Using modern AI tooling in your day-to-day — to accelerate analysis, prototype models, and surface patterns a spreadsheet would miss. Turning analysis into commercial narrative: crisp memos, clear recommendations, and the "so what" that drives action.

Owning ad-hoc deep dives at short notice — sizing an opportunity, diagnosing a metric that moved, or modelling a scenario the founder needs before a board meeting. Defining the success metrics that matter for every team in the company, and using them to manage the business by exception — partnering with the Data team on the underlying data, not owning it. You Might Be a Good Fit If...

You have ~3 years in a quantitative or analytical role, ideally including time spent directly supporting a founder or CEO — we index on proven ability in this kind of seat over years on paper. You have genuinely strong SQL — comfortable with complex joins, window functions, and wrangling imperfect real-world data into something trustworthy. You are hands-on with AI in practice — you already use LLMs and modern tooling to work faster and go deeper, and you're excited to push that further.

You are commercially astute — you instinctively connect the numbers to revenue, cost, and growth, not just to a chart. You are a first-principles thinker who is comfortable with ambiguity and can turn a vague question into a structured answer. You have high drive and ownership — you chase problems down without being asked and treat the whole business as your remit.