Why Join Us?
We empower you to be innovative and solve complex problems. Take ownership, make an impact, and thrive in our scaling and agile environment.
This is a Hybrid role, the Data team work from our London (Shoreditch) Offices 3 days per week.
The Data Team at Capital on Tap
The team’s mission is to drive growth and impact through smart use of data and advanced analytics across customer acquisition, approval strategies and portfolio management. The team includes a diverse pool of analysts with various degrees of expertise ranging from data engineering to advanced analytics.
What You’ll Be Doing
We are looking for a talented and ambitious Senior Data Analyst to help us continue our rapid growth trajectory. This autonomous and fast-paced role entails finding exciting commercial opportunities, and turning these opportunities into real business growth.
This role will initially be focused on generating analytical insights across marketing and credit for our US business. An important part of the role will be developing key internal datasets used across various use cases. There will be scope for rotation into other areas of the business after 6-12 months. You’ll be:
✨Using your advanced analytical skills to find growth opportunities for the US business
✨Developing and maintaining key internal datasets used for marketing, underwriting and KYB
✨Create and maintain analytical data pipelines in DBT and Python, to support ongoing analysis and facilitate their incorporation into future BAU data processes.
✨Working with external partners to incorporate new data sets seamlessly
✨Finding innovative data sources and define ways to ingest the data (e.g. web scraping)
✨Working closely with our data engineering team to productionize the datasets
We’re Looking For
✨4+ years experience as a data engineer or data analyst in a fast-paced environment (a startup / scale-up)
✨Strong analytical/ quantitative skills and able to cast business problems as analytical questions
✨Strong SQL skills
✨Experience with a programming language like Python or R, and dashboarding softwares such as Looker or Tableau would be beneficial
✨Willingness to “get your hands dirty” and learn how to build, analyse, and maintain complex datasets
✨Conviction to challenge assumptions and received wisdom
✨Curiosity to learn and experiment
✨Analytical, pragmatic, and tenacious character
Diversity & Inclusion
We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work.
Great Work Deserves Great Perks
We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our benefits:
Private Healthcare including dental and opticians services through Vitality
✈️ Worldwide travel insurance through Vitality
Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical)
Salary Sacrifice Pension Scheme up to 7% match
️ 28 days holiday (plus bank holidays)
Annual Learning and Wellbeing Budget
Enhanced Parental Leave
Cycle to Work Scheme
Season Ticket Loan
6 free therapy sessions per year
Dog Friendly Offices
Free drinks and snacks in our offices
Check out more of our benefits, values and mission here.
Other Useful Info
Interview Process:
First stage: 30-minute intro and values call with Talent Partner (Video call)
Second stage: 30-minute SQL live-coding assessment followed by a 15-minute chat with Senior Analyst (Video call)
Final stage: 30-minute interview with Director of Data Science (In person)
Check out our ‘Top Tips’ for interviewing.
✔️Keep updated on new job opportunities by following us on Linkedin.
Email careers@capitalontap.com if you have any questions.
Excited to work here? Apply!
If you’d like to progress your career within our fast growing, profitable fintech then click apply and we will aim to get back to you within 3 working days (during busy periods this could take up to 5 working days.)
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