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Capital on Tap

Senior Growth Data Analyst (SQL/dbt)

Capital on Tap is hiring a Senior Growth Data Analyst (SQL/dbt) in London, United Kingdom. Level rates it ; you can apply on Capital on Tap.

Level's read on this job

  • On Level's scale, this data analyst role is Little AI ●○○○: aI is not part of the work.
  • Level classes it as a senior role.
  • Capital on Tap has 28 other open roles on Level.

AI in this role

We’re Capital on Tap 👋
💳 Capital on Tap started because small businesses were underserved. Big banks were slow, their products weren't fit for purpose, and small business owners often couldn't access what they needed. We set out to fix that.

Today we're a financial platform - not just a credit card company. We offer a best-in-class business credit card, SME-focused spend management platform, a savings product that hit £1 billion in funds within its first year, and a growing suite of tools and financial products that make running a small business easier.

1,000+ employees, £20bn in annual card spend, 200,000+ customers, 17,000+ Trustpilot reviews averaging 4.7 stars, and we're profitable. We’ve done a pretty good job so far, but we’re just getting started!

📍 London | 🏢 3 days in Office

US Growth & Data Science 🚀
The team’s mission is to drive the growth of our US business 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 🗃️

  • Owning the delivery of a high-volume, data-driven US acquisition channel, and contributing to its strategy and roadmap alongside the wider team
  • Building and maintaining the data pipelines (SQL, dbt) that turn internal and third-party data into campaign-ready audiences
  • Launching and optimising campaigns through analysis and testing
  • Using your analytical skills to find commercial growth opportunities across the US customer lifecycle
  • Finding and evaluating new data sources (e.g. third-party vendors, web scraping) for marketing, underwriting, fraud and KYB
  • Partnering with our Data Engineering team and external partners to productionise proven datasets and pipelines

Expectations in your first 3-6 months 🎯

  • Month 1: Get to know the channel, our data stack and our key partners, and shadow a full campaign cycle from audience build to launch
  • By month 3: Run campaigns end to end with support, take ownership of the pipelines that power them, and start bringing your own ideas to the table
  • By month 6: Own campaign delivery independently, design and launch your first test, and be an active voice in our growth strategy

Our Values & Culture 🌞

  • Just Pilot: We never settle for “good enough”. We pilot new ideas fast, ask questions to figure it out, and scale quickly.
  • Why Not Today? Fast is as slow as we go - speed and simplicity gives us a competitive advantage.
  • Be a Buddy: We tap in from day one to help the team, we do the right thing even if it’s hard.
  • Owners and Dates: We don’t chase people. If you own a task and agree to a date, the expectation is that it gets done.
  • Feedback: We want our employees to flourish, so we regularly provide direct and constructive feedback.

We’re Looking For 🔎

  • 4+ years' experience as an Analytics/Data Engineer or Data Analyst in a fast-paced environment (a start-up or scale-up)
  • Strong analytical/ quantitative skills and able to cast business problems as analytical questions
  • Strong SQL skills
  • Willingness to “get your hands dirty” building, analysing, and maintaining complex datasets
  • Experience in growth or marketing analytics is a plus
  • Experience with a programming language like Python or R, and dashboarding software such as Looker or Tableau would be a plus
  • Conviction to challenge assumptions and received wisdom
  • Curiosity to learn and experiment
  • Analytical, pragmatic, and tenacious character
  • Comfortable owning outcomes with minimal direction

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
🚘 Octopus EV Salary Sacrifice Scheme
🏖️ 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 Info
👍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.)

How we rate this

Senior Growth Data Analyst (SQL/dbt) at Capital on Tap rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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