Analytics Engineer presso Moneyboxapp

Our Commitment to DE&IAt 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 MoneyboxMoneybox 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 BriefThe 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.

Candidarsi ora