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For Companies At a Glance
- Tasks: Design and maintain automated data transformations for insightful analytics.
- Company: Join Moneybox, an award-winning app transforming wealth management.
- Benefits: Enjoy hybrid working, personal development budget, and health perks.
- Why this job: Make a real impact in a fast-growing fintech startup.
- Qualifications: 2-3 years in analytics engineering with SQL and Python skills.
- Other info: Collaborative culture with opportunities for career growth.
The predicted salary is between 36000 - 60000 £ per year.
Our Commitment to DEI
At Moneybox, our mission is to give everyone the means to get more out of life. We are 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 truth
- Architect and develop our data outputs at increasing scale, taking ownership over multiple data catalogs
- Collaborate with analysts and the wider business to understand their needs, and to define, design and ship new analytics features
- Help maintain code quality and organisation
- Promote the benefits of analytics engineering practices among the wider Insight Team
Who you are
- Genuinely interested in Moneybox and the services we offer
- Excited 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 goals
- Excited about using data to answer questions, and particularly interested in the technical side of how to do this at increasing scale
- Loves to build tools that make your teammates’ jobs easier
- Somebody who thrives in a fast-paced startup environment
- Interested in all areas of the business and enjoys hearing about what other team members are working on
- Genuine interest in financial technology
- Constantly 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 analysts
- Experience with SQL (ideally within a modern data platform e.g. Databricks, Snowflake, BigQuery)
- Experience with automating data processes
- Familiarity with dbt (Cloud or Core)
- Understanding of Python
- Familiarity 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 code
- Experience 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 methodologies
- Knowledge of CI/CD
What’s in it for you?
- Opportunity to join a fast-growing, award-winning and super ambitious startup
- Work with a friendly team of highly motivated individuals
- Be in an environment where you are listened to and can actually have an impact
- Thriving collaborative and inclusive company culture
- Company shares
- Company pension scheme
- Hybrid working environment (2 days in our London office)
- Home office furniture allowance
- Personal Annual Learning and Development budget
- Private Medical Insurance
- Health Cash Plan (cashback on visits to the dentist & opticians etc)
- Cycle to work scheme
- Gympass subscription to a variety of gyms and wellbeing apps
- Enhanced parental pay & leave
- 25 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.
Senior Analytics Engineer in City of London employer: Moneybox
Contact Detail:
Moneybox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Moneybox on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Moneybox's mission and values. Show us how your skills align with our goal of helping people build wealth. We love candidates who are genuinely excited about what we do!
✨Tip Number 3
Practice your technical skills! Brush up on SQL, Python, and any tools mentioned in the job description. We want to see that you can not only talk the talk but also walk the walk when it comes to analytics engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining the Moneybox team!
We think you need these skills to ace Senior Analytics Engineer in City of London
Some tips for your application 🫡
Show Your Passion for Moneybox: When you're writing your application, let us know why you're excited about Moneybox and our mission. Share what makes you tick in the financial technology space and how you see yourself contributing to our goals.
Tailor Your Experience: Make sure to highlight your relevant experience in analytics engineering. We want to see how your skills with SQL, Python, and data automation can help us build better tools and insights for our customers.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and how they relate to the role. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Moneybox
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools and technologies mentioned in the job description, like SQL, dbt, and Python. Brush up on your experience with large datasets and be ready to discuss specific projects where you've used these skills.
✨Show Your Passion for Financial Technology
Demonstrate your genuine interest in Moneybox and the financial services industry. Share examples of how you’ve engaged with fintech in the past or how you see it evolving. This will show that you’re not just looking for any job, but that you’re excited about this particular opportunity.
✨Prepare for Collaboration Questions
Since the role involves working closely with analysts and other teams, think of examples where you’ve successfully collaborated in the past. Be ready to discuss how you’ve helped others understand data insights and how you can promote analytics engineering practices within a team.
✨Ask Insightful Questions
Prepare thoughtful questions about Moneybox’s data strategy, team dynamics, or future projects. This shows that you’re not only interested in the role but also in how you can contribute to the company’s mission and growth.
