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Monzo

Senior Analytics Engineer

Work from home

Remote role where the employee must remain based in a particular country.

United Kingdom only

Employer listed it 9 days ago · Added 5 days ago

First listed 9 days ago and still open.

Salary

£76,500 to £95,000

Location

United Kingdom only

Timezone

GMT

Contract

Full-time

Experience

Senior

Category

Data

Stated by the employer in the job description

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United Kingdom. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "Cardiff, London or Remote (UK), UK"
  • Job description states: "based in our London office"

What Nomaders makes of it

  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

🚀 We’re on a mission to make money work for everyone.

We’re waving goodbye to the complicated and confusing ways of traditional banking.

After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us.

With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!

We’re not about selling products - we want to solve problems and change lives through Monzo ❤️

📍London/Cardiff/UK Remote | 💰 £76,500-£95,000 ➕ Incentive Awards tied to your performance and Benefits | Hear from the team ✨

Analytics Engineering at Monzo We have around 60 Analytics Engineers out of roughly 300 data practitioners in total - and we have big ambitions for the discipline. Analytics Engineering is at the core of how we build our data to enable Monzo to make better and faster decisions by having a performant, scalable and high quality data warehouse. As an Analytics Engineer here you'll be working collaboratively with other disciplines like product, engineering and data science, and we run regular knowledge-sharing sessions so you’ll learn loads about everything from our data modelling principles to how banks work and effective communication.

What you’ll be working on:

The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science.

You’ll enable our data driven approach, and:

Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.

Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.

Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards.

Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen.

Take established best practices and standards defined by the team, applying them within other areas of the business.

Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.

Contribute to prioritisation of data governance issues

We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role

We’d love to hear from you if…

You enjoy working with cross functional fast moving teams and are passionate about serving small businesses.

You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers.

You have a strong passion for data modelling, ETL projects, and Big Data.

You enjoy working with data streams from various services, such as financial, transactional, and operational systems.

SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts.

Requirements

  • ·You enjoy working with data streams from various services, such as financial, transactional, and operational systems.
  • ·SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts.
  • ·You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.
  • ·Any experience working within a finance function or knowledge of accounting.

Benefits

  • ·#LI-AS1 #LI-REMOTE
  • ·Equal opportunities for everyone
  • ·If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Monzo, mentioning your remote working experience and working hours (GMT).
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 5d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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