Analytics Engineer

Our Story Hello there. We’re Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com!

We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces.

If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife

The teamThe Analytic Engineering team is part of the wider Data Team within Technology. We are looking to grow the team and are looking for an Analytics Engineer to join. The team are all about turning data into useful information that helps analytic, product, finance and risk teams get the value and insight that they need!

The roleAt Zopa we have multiple products and lots of data that we want to make better use of to make better decisions for our customers. So, as an Analytics Engineer you will use your skills to learn your domain and build a strong knowledge of the data and build quality data products that are well structured with built in controls and quality checks using our selected tools. Not only that, at Zopa we focus heavily on autonomy and empowerment so you will take ownership for the daily operation of these data marts: resolving issues and escalating issues where appropriate. Moreover, you will help and support our stakeholder group with data knowledge and skills, as well as support other team members by supporting code reviews and data validation checks to make sure we keep our standards.

About you:

• Must have experience in DBT, SQL and data modelling
• Have experience building a good understanding of a business domain, product or area
• Able to get into the detail of data, find the edge cases and oddities that might impact its use
• Fastidious at getting documentation, testing, validation and governance done right
• Able to manage your time and breakdown a delivery into a plan and seek help when needed.
• Able to make trade off decisions and see the bigger picture.
• Keen to learn new technologies and keep up to date with new tools and techniques
• Be a good communicator, be able to tailor to different audiences and explain their reasoning

Added bonus:

• Experience with Python or Airflow