Our Commitment to DE&I
At Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they’re saving and investing, buying their first home, or planning for retirement.
About Moneybox
Moneybox is the award-winning app that helps you turn your money into something greater. We’ve brought saving, investing, home-buying, and retirement services all together into one simple app, so it’s easier than ever to achieve your goals and build wealth, whatever your starting point.
Job Brief
The Data and Insights team span everything from analytics engineering to reporting, insight analysis, decisioning, data science and machine learning. Helping everyone at Moneybox to understand what our customers are doing, how they are interacting with the app, which products they are using and what is important to them - this team ensures that we are equipped to deliver on our mission to help customers.
What you'll do
Design, build and maintain our automated data transformations, to create analysis-ready datasets and sources of truthArchitect and develop our data outputs at increasing scale, taking ownership over multiple data catalogsCollaborate with analysts and the wider business to understand their needs, and to define, design and ship new analytics featuresHelp maintain code quality and organisationPromote the benefits of analytics engineering practices among the wider Insight Team
Who you are
Genuinely interested in Moneybox and the services we offerExcited about being part of a fast growing company that's trying to make a positive mark on the world by helping everyone to reach their financial goalsExcited about using data to answer questions, and particularly interested in the technical side of how to do this at increasing scaleLoves to build tools that make your teammates’ jobs easierSomebody who thrives in a fast-paced startup environmentInterested in all areas of the business and enjoys hearing about what other team members are working onGenuine interest in financial technologyConstantly looking to improve in all areas that you can affect
Skills & Experience (Essential)
2-3 years experience in analytics engineering handling large data sets, delivering insight to stakeholders, or significant experience working closely with data analystsExperience with SQL (ideally within a modern data platform e.g. Databricks, Snowflake, BigQuery)Experience with automating data processesFamiliarity with dbt (Cloud or Core)Understanding of PythonFamiliarity with delivering data to Power BI, or another modern BI platform
Skills & Experience (Desirable)
Financial Services industry experience Experience with Git for writing, storing and collaborating on production level codeExperience with the principles of modelling data warehouses (Gold, Silver, Bronze table structure, Kimball modelling etc)Experience working in a medium/large data team (20+)Applied knowledge of analytics engineering best practices and methodologiesKnowledge of CI/CD
What’s in it for you?
Opportunity to join a fast-growing, award-winning and super ambitious companyWork with a friendly team of highly motivated individualsBe in an environment where you are listened to and can actually have an impactThriving collaborative and inclusive company cultureCompany pension schemeHybrid working environment (2 days in our London office)Home office furniture allowancePersonal Annual Learning and Development budgetPrivate Medical InsuranceHealth Cash Plan (cashback on visits to the dentist & opticians etc)Cycle to work schemeGympass subscription to a variety of gyms and wellbeing appsEnhanced parental pay & leave25 days holiday + bank holidays with additional days added with length of service.
Our office is in London, by the Oxo Tower
We encourage you to apply, even if you don't meet 100% of the qualifications listed above. We value diverse perspectives and are looking for passionate individuals who are eager to learn and grow.
Visa Sponsorship:
At this time we cannot offer visa sponsorship for this role.
