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About Apron
Apron was started by a group of people who'd spent years building products for global fintech companies. But there was one big problem no one was solving: business payments. The kind that buy tomatoes, tools, and till rolls—keeping suppliers happy and businesses booming. Payments eat up valuable hours every week for both businesses and the accountants and bookkeepers who help them. That's why we built Apron as a payments powerhouse, flipping the payment experience from blocking business to boosting it. Apron pulls all things payments together—integrating into your workflow, collating conversations, turning hours into minutes so you can put that time to better use: plan the future, take a walk, call your mum.
Who we’re looking for
We are building a product that allows our clients to upload all invoices and receipts and get them automatically processed and ready to be paid. We are developing our own document recognition system that works fast, is reliable, and really cost efficient. We need a Data Analyst who will help us clearly understand our current performance and guide the direction of our product development through data and metrics. You should have a passion for communicating findings, engaging others with your results, and fostering a data-driven culture. You will be expected to propose ideas for research, gather hypotheses, and validate research questions with users. This role is hybrid, based in our London HQ (Liverpool Street/Shoreditch High St) a minimum of 3 days per week.
What you’ll be doing
* Develop a system of metrics and dashboards for online monitoring of our system. These will enable us to track product growth, monitor the quality of document recognition, and respond promptly to any issues that arise.
* Propose improvements to the recognition system based on data analysis. For example, analyse user corrections to identify which documents and fields need improvement first.
* Provide data for product development like investigating the need for new UI features, and backlog prioritisation. You will analyse user behaviour to find insights for product enhancement.
* Perform ad-hoc analysis of problems encountered by users or anomalous behaviour of the recognition system.
* Organise the process of conducting and evaluating the results of A/B tests.
Desired Skills
* Proficiency in data analysis tools such as SQL and Python: you should be experienced in writing efficient queries for PostgreSQL. Some tasks will require running tests on our internal datasets or making automation. You will need basic knowledge of Python and Pandas for this.
* Experience with data visualisation tools like Tableau, Grafana, or similar platforms.
* 3+ years experience in an analytics role. Experience in product analytics is required.
* Strong knowledge in statistics and probability, along with proficiency in designing and interpreting A/B tests to support data‑driven decisions.
* Excellent problem‑solving skills and attention to detail.
* Strong communication skills to present findings clearly to both technical and non‑technical stakeholders.
* Understanding of basic ML concepts will be a plus.
Benefits
* 29 days Annual Leave (exclusive of public holidays)
* Birthday day off (if it falls on a weekday)
* Weekly Deliveroo budget
* AXA Healthcare Insurance (with Dental and Optical Cover)
* Stock Options
* Fully expensed tech
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Research, Analyst, and Information Technology
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