Senior Data Analyst
Overleaf is a scaleup and social enterprise that builds modern collaborative authoring tools for scientists — like Google Docs for Science. We make an online, real-time collaborative editor for papers, theses and other documents written in the LaTeX markup language.
We have over 11 million registered users from around the world, over 400,000 people use our platform each day, and we host over 100 million user-created projects. Our company is growing and we are looking for a Senior Data Analyst to help us get the most out of our data, to inform decision making and guide our strategic thinking.
We’ve been recognised as one of the UK's top 100 fastest growing businesses and included in the FEBE Growth 100 list. We were Best SaaS for Nonprofits or Education in the 2020 SaaS Awards Program, and a finalist in the Digital Leaders Impact Awards 2022. We're part of the Digital Science family of science, health and ed-tech companies.
Your New Role
We are looking to hire a Senior Data Analyst to help us get the most out of our data, to inform decision making and guide our strategic thinking.
Day to day, you will,
Take ownership of data projects from end to end
- Understand stakeholder requirements and manage expectations
- Translate business questions into precise SQL queries
- Distil your analysis into understandable and actionable insights for other teams and stakeholders
Design and analyse split tests which fit into the business and product strategy
- Work with product, engineering and design teams to form testable hypotheses
- Ensure alignment between strategic objectives, hypotheses and test outcomes
- Find opportunities for growth
Analyse and report on the impact of activities such as:
- Split tests which influence usage, purchases or user retention
- New feature releases
- Seasonal promotions and other marketing campaigns
Clearly communicate and visualise findings
- Via dashboards, reports, presentations and updating relevant teams
- In a range of contexts including project groups, management teams and whole company updates.
- Ensuring a consistent approach across the team
Work closely with other departments
- Help others understand our data, providing useful insights for their departments
- Represent the analytics team in meetings
- Improve access to our data, and identify opportunities for using data to improve processes and workflows across the organisation
You will be a part of the Analytics team at Overleaf, helping to make Overleaf the go-to place for scientific writing.
How We Work
Overleaf is remote-first — all staff work remotely, and this is part of our values. We also have an office space in London for those that want to use it, and we get the whole team together a few times a year (usually in the UK) for face-to-face time.
Our core hours for meetings are 2pm–5pm UK time; we try to schedule all team meetings during this time, including daily 10–15 minute project standup calls and biweekly company update calls.
Our analysts work closely with the product and engineering teams during both discovery and delivery of new features. We always collect user feedback to inform our work. We have UX professionals on our team, and we run many surveys and user interviews as well as doing quantitative testing and analysis.
How We Hire
The stages in our hiring process are typically:
- We will aim to update you on the status of your application within 10 working days from when we receive it.
- We’ll schedule a 15-minute call for a discussion with our Head of Analytics to discuss the role and your experience, to see if they look like a good fit.
- We'll schedule a more in-depth interview, which is typically a 90 minute interview that includes a practical assignment which you can either prepare for in advance, or work on during the interview.
- 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 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.
To do this job well you’ll need to:
- Have at least 3 years of experience in a similar role.
- Be based in the US, Canada, the UK or Europe (EU member state)
- Usually be available in our core hours, 2pm–5pm UK time
- Remote and flexible working.
- Salary up to £40k - £65k per year, depending on experience.
- You would join a small, dedicated and growing team.
- We organize company and team meetups several times a year for valuable face-to-face time.
- We’ll provide a new Mac, PC or Linux laptop, along with a stipend for other equipment.
- We provide a training budget and allocate time for training; many of our team choose to attend relevant industry conferences or buy training materials.
- We run regular remote hackathons to keep learning and experimenting.
- We run a weekly internal seminar series with short talks from staff about their work or personal projects, new technologies and techniques.
- Additional benefits package varies by country. Please ask us.
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Underrepresented groups often do not apply and we encourage them even if they do not meet all the requirements.
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