Data Analyst

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Organisation
Overleaf
Locations

Remote

Application Deadline
Salary
£30k–£50k

What We Do

Overleaf is a social enterprise that builds modern collaborative authoring tools for scientists — like Google Docs for Science. We have over eight million registered users from around the world. Our primary product is an online, real time collaborative editor for papers, theses, technical reports and other documents written in the LaTeX markup language.

Who We Are

Overleaf was founded by two mathematicians who were inspired by their own experiences in academia to create a better solution for scientific collaboration and communication. Now we are a team of about fifty based mainly in the UK, EU, the US and Canada. We were recently recognised as one of the UK's top 100 fastest growing businesses and as the Best SaaS for Nonprofits or Education in the 2020 SaaS Awards Program. Our vision is to be the go-to place for writing scientific documents.

How We Work

Overleaf is remote-first — all founders and staff work remotely. We also have an office in Farringdon for those in the London area, and when the pandemic settles down we'll again get the whole team together in London a few times a year for 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.

About This Role

As we grow, we’re collecting more and more data about how people use our service, and this year we’ve been building out our data infrastructure to bring it all together into one data warehouse. Now we are looking for a Data Analyst to join our growing data team to help us with analysing, understanding, cleaning and reporting on our data.

Day to day, you’ll be helping us to:

  • Improve and maintain our data infrastructure by:
    • Building and updating tables and views in Google BigQuery
    • Developing regular, actionable reports for stakeholders
    • Monitoring and ensuring the quality of our data
  • Carry out ad-hoc analysis:
    • Translating business questions into precise SQL queries
    • Ensuring we incorporate quantitative data in decision making
    • Answering questions which don’t fit easily in our usual dashboard/reporting
  • Make all of our activities more data-driven:
    • Clearly communicate and visualise findings and insights
    • Measure the impact of changes to product features, flows or pages
    • Support and develop our understanding of user behaviour

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.
  • Visualizing and communicating your findings to others.

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
  • Tableau for visualization
  • 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

Here are some examples to illustrate the kinds of projects you'd be helping with:

How We Hire

`The stages in our hiring process are typically:

  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 with our Founders.
  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.

If you have a deadline, please let us know in your application, and we will try to be accommodating.

Requirements

We require that you:

  • Have a minimum of 2–3 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.

Experience with the technologies we use is always a plus, but you don't need to know them all; your ability to learn is much more important to us.

Benefits

  • Remote and flexible working.
  • Salary £30k–£50k 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.
  • We run a biweekly internal seminar series (show and tell) with short talks from staff about their work or personal projects, new technologies and techniques.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


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