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The Role

As we grow, we’re collecting more and more data about how people use our service. We’re running split tests and monitoring how the changes we make impact user behaviour and our revenue. We are looking for a Senior Analyst with commercial/business experience to help us get the most out of our data, to inform decision making and guide our strategic thinking.

Day to day, you will:

  • Investigate and report on the commercial impact of activities such as:
    • Seasonal promotions and other marketing campaigns
    • Split tests which impact purchases or user retention
    • New feature releases
  • Lead investigations to support the wider business:
    • Finding opportunities for growth
    • Influencing user flows in the product
    • Translating business questions into precise SQL queries
  • Clearly communicate and visualise findings from our commercial data:
    • Trend analysis of business KPIs
    • Forecasting and reviewing actual performance
    • Sharing insights, knowledge and best practice with the wider business

Benefits

  • Remote and flexible working.
  • Salary £40k–£60k per year depending on experience.
  • You would join a small, dedicated and growing team.
  • We're substantially (around 80%) open source, so your work will often be on open source.
  • We're backed by Bethnal Green Ventures (https://bethnalgreenventures.com/) and Digital Science (https://www.digital-science.com/), through which we're part of a wider community of startups in science, health and ed-tech.
  • Our London office is shared with several other Digital Science companies, so there's lots of interesting people to meet, and clubs and sports activities outside of work.
  • We'll supply a Mac, Linux or Windows laptop (your choice) plus a stipend to set up your workspace.
  • We provide a training budget; many of our staff choose to attend relevant industry conferences or buy training materials.

Requirements

We require that you:
  • Have a minimum of 3–5 years of relevant experience.
  • Will work for us full time (or nearly full time).
  • Will usually be available in our core hours, 2pm–5pm UK time.
  • Are based in the UK, EU, US or Canada.

How We Hire

  1. We ask you to submit a CV and a cover letter stating why you would like to work for Overleaf.
  2. We will aim to update you on the status of your application within two weeks from when we receive it.
  3. We'll follow up by email (or sometimes schedule a phone call) with any questions we have about your application, usually around logistics, your ambitions and your expectations about the role.
  4. We'll schedule a more in-depth interview, which is typically followed or combined with a practical assignment. For the practical, you'll have the option of either completing a homework assignment, which requires about one hour of your time before the interview, or doing an exercise during the interview, if you prefer. The exercises are practical in nature, and you can use Google, etc., and ask us questions.
  5. We may ask you to attend a second, shorter, interview.
  6. We'll make an offer. We usually interview in batches, so there may be a short delay while we interview other candidates, but we will try to keep you informed throughout the process.

Please tell us in your application about your experience with these key skills:

  • SQL — we expect that you’ll spend a lot of your time working with SQL (in particular, BigQuery SQL) in this role.
  • Communicating your findings — visualising and sharing analyses with teams across the business is an important part of the role.
  • Working with financial data — we're not looking for an accountant, but most of our analyses have a financial component, so it will be helpful to have a grasp of financial concepts such as revenue recognition, present values and compounding.

Other experience that it would be helpful to highlight (but is not required) includes:

  • Experience with at least one other programming language for statistical analysis, such as R or Python, because we also use these for some ad hoc analyses
  • BigQuery for queries
  • MixPanel or similar product analytics tools
  • A/B testing
  • Working in a B2B and/or B2C SaaS context
  • Understanding of the scholarly market and/or some knowledge of LaTeX

How We Work

Overleaf is remote-first (and was before the pandemic too) — all founders and staff work remotely and this is part of our values. We also have an office in Farringdon for those in the London area, and we aim to get the whole team together twice a year for valuable face-to-face time.

We encourage flexible working. Our core hours are 2pm–5pm UK time, during which our development and product teams have 10–15 minute daily standup calls.

We collect data and user feedback to inform our work. We have UX professionals on our team, and we run surveys and user interviews on a weekly basis. We use these, alongside quantitative data to inform our Product Discovery process. Our roadmap also includes initiatives driven by staff and quarterly hackathons to keep our learning fresh.



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