This is a ‘Level 2 or 3’ position. Cleo has 5 internal levels of competency within Analytics Engineering. See our skills framework for how we differentiate on seniority.

 

We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

If there’s anything we can do to accommodate your specific situation, please let us know.

About Cleo

Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being.

Backed by some of the most well-known investors in tech, we’ve reached millions of people to support them throughout their financial lives, from their first paycheck to their first home and beyond. We're hitting headlines too. This year, Forbes named us as one of their Next Billion Dollar Startups, and we were crowned the 'Hottest Tech Scaleup' at the Europas.

Follow us on LinkedIn to keep up to date with new product features and insights from the team.

About the role

As an Analytics Engineer at Cleo you will develop and maintain data models that will amplify the productivity of our analysts, empower machine learning models, and be the backbone of self-serve discovery throughout the company. As Cleo grows rapidly towards 100M worldwide users, you will take the lead on ensuring we can move fast in making data driven decisions. 

We have a flat and open engineering culture where data and evidence beats opinion and hierarchy. We passionately believe in forming autonomous, cross functional teams who are empowered to deliver our ambitious strategy. You’ll work embedded in squads alongside our engineering team to help us collect, transform, store, and serve data across the company. You’ll also work closely with the wider team here at Cleo to provide training and guidance on how to utilise our data.

What you'll be doing

• Creating and owning data models in our Redshift data warehouse
• Managing our ELT pipelines that feed reporting systems and analytical teams
• Applying software engineering best practice to our data environment (e.g. testing and version control)
• Work with various business and engineering teams to ensure reliable, scalable, robust architecture for our data platform
• Work with the engineering team to ensure application design accommodates reporting and analytics requirements
• Supporting product analysts with automation, tooling, data pipelines and data engineering expertise

About you

• 2+ years of experience in an Analytics Engineering role or similar
• Experience modelling data to amplify productivity using tooling such as dbt
• Solid SQL experience (PostgreSQL preferred). You can not only interact with a database but design new schemas
• Experience with data warehousing solutions such as Snowflake, Redshift, or similar managed solutions
• Experience evaluating new tools and processes to drive the adoption and usability of data
• Exposure to working with Python for scripting 

What do you get for all your hard work?

• A competitive compensation package (base + equity) with biannual performance reviews. You can view our public progression framework and salary bandings here: https://cleo-ai.progressionapp.com/ - This position is a AE2 or AE3 level and we can pay £53,158 - £90,046 p.a depending on experience.
• Work at one of the fastest-growing tech startups, backed by top VC firms like Sofina, Balderton & EQT Ventures.
• A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support.
• Flexibility: We treat you as humans first, employees second. Because we can’t fight for the world’s financial health, if we’re not healthy ourselves. This means all the usual perks but it also means flexibility. We take pride in being a flexible workplace that trusts our Cleople to deliver their best work, giving you the autonomy to structure your day around morning drop-offs to school or daily dog walks.
• Hybrid-first: Join our hybrid-first team, where we blend the best of both remote and in-office work. We expect our team members to be in our London office 1-2 times a week. On Thursdays, we buy you lunch but you can come to the office on whichever days work best for you!
• Other benefits;
• 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo)
• Check out our new benefits package here: https://web.meetcleo.com/blog/big-benefits-energy-the-latest-cleo-employee-benefits
• 6% employer-matched pension in the UK
• Company-wide performance reviews every 8 months e.g every 2 terms, in line with our termly cycles (Jan-April, May-Aug, Sept-Dec):
• Generous pay increases for high-performers and high-growth team members
• Equity top-ups for team members getting promoted
• Private Medical Insurance via Vitality, dental cover, and life assurance
• Enhanced parental leave
• 1 month paid sabbatical after 4 years at Cleo
• Regular socials and activities, online and in-person
• We'll pay for your OpenAI subscription
• Online mental health support via Spill
• And many more!