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Data Analyst, Finance and GTM

getapron.com
City of London
2 days ago
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About Apron

Apron was started by a group of people who’d spent years building products for some of today’s most successful global fintech companies. But there was one problem that no-one was solving: Business money. The kind that buys tomatoes, tiles, and till rolls. The kind that keeps suppliers happy and business booming. The kind that, before you know it, eats up your entire day.


One million small businesses in the UK will each spend 5 hours this week paying and reconciling invoices, alongside countless hours chasing staff for expense receipts.


This is a problem that’s affecting entrepreneurs. Dreamers. Risk takers. Backbones of our communities. Imagine what they could do with this time instead. What would they build? How far could they go? That’s why we created Apron as an essential tech layer in the small business machine. We flip the payment experience from blocking business to boosting it. Apron weaves neatly into your workflow and tightens it up, turning hours into minutes.


We have grown fast over the past few years, expanding our team to almost 100 Aproneurs across the UK and more. We are backed by Index Ventures, Bessemer Venture Partners, with participation of Visionaries Club and the founders of Melio and Klarna and we’ve raised $50m.


About our team

Business owners face a constant stream of tasks: invoices scattered across different sources, keeping track of what’s already been paid. On top of that, there’s bookkeeping, filing documents on time to optimize taxes, and making sure nothing slips through the cracks. When the process is set up correctly, payments run smoothly, future expenses are visible, and all the administrative work takes far less time.


We’re building a product that solves all these problems - enabling our clients to pay bills and payroll, capture invoices, issue expense cards, and keep their books clean, all in one place.


We’re looking for a Data Analyst who’s equally excited about product and technical challenges. You’ll help shape a coherent, well-structured data model that supports everything from product analytics to company-wide reporting.


You’ll collaborate mostly with our Finance team, but also Go-To-Market, and Operations, to provide insights that drive strategic decisions across the organization, not just in the product domain.


We want someone who loves working with data, gets satisfaction from uncovering valuable insights, and inspires others to use data in their daily work. You’ll be the person who makes our dashboards and data model so intuitive and useful that the whole company wants to use them.


What you’ll be doing


  • Designing and maintaining dashboards, reports, and visualizations that help our teams gain insights into our current business position with respect to the financial statement, identify future steps, optimisations and initiatives working with other departments in the business, and prioritize them effectively.




  • Developing and maintaining the data model in our data warehouse to support these dashboards




  • Empowering teams to perform analytics in a self-serve manner: gathering their needs, implementing them in the data model, and presenting the new capabilities




  • Identifying optimal methods for tracking financial performance related to underlying business drivers and KPIs.




  • Forecasting the future state of the business.




  • Performing ad-hoc analyses of issues encountered by users or anomalous behavior of the product that results in impact to the financial statement.




What we're looking for


  • 3+ years experience in an analytics role. Experience in financial analytics is required.




  • Proficiency in 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 automations. You will need knowledge of Python and Pandas for this.




  • Understanding of principles of Finance and Accounting including Financial Reporting (P&L, balance sheet, cash flow statement), debits/credits, accruals vs cash accounting.




  • 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.




What we offer


  • 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




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