Lead Analytics Engineer

EngineersOfAI; Greater London; Hybrid; GBP 97,800 - 125,000; Full time

Benefits offered by this job

Incentive Awards tied to performance

Financial education resources

Job summary

EngineersOfAI is seeking a Lead Analytics Engineer to shape the future of data operations. This pivotal role involves designing scalable data architectures that support insights across the company. You'll oversee critical data platforms aimed at enhancing customer experience and operational efficiency.

Join a fast-growing bank in the UK with over 10 million customers, and contribute to building a best-in-class analytics function. If you're passionate about data and its transformative power, apply now!

Qualifications

• Proven experience in data architecture and data analytics.
• Strong understanding of BigQuery and data modeling.
• Ability to lead teams and manage large-scale projects.

Responsibilities

• Serve as a data architect for Monzo’s Operations data.
• Contribute to the design and scalability of data models.
• Lead the re-architecture of operations data domains.

Skills

Data architecture

BigQuery

Data modeling

Analytics

Machine learning

Job description

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

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.

Location: London, Cardiff or Remote in the UK. Salary: £97,800 -125,000. Incentive Awards tied to your performance and Benefits.

Our team:

Our Mission in Operations is to deliver an effortless experience for everyone - helping Monzo deliver on its mission of making money work for everyone.

Data is crucial to the success of this mission and Operations Analytics Engineers are at the core of how we build, scale and re-architect our Operations Data Warehouse to enable Monzo to make better decisions, faster, and help serve Monzo’s customers better.

We’re looking for a Lead Analytics Engineer within our Operations team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new markets and working with partners internally and externally to ensure we can design and build a first class system to meet our customers’ needs.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 10 million customers in the UK, with over 200,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

This is a great opportunity to shape the future direction of how we serve our customers, enabling data to ensure we can provide a world class efficient service for all of Monzo's customers, as we lay the foundations to build a best in class analytics function. You’ll work closely within our Operations Collective with product and engineering teams to build out our forecasting and routing systems, while partnering with our core operations team to enable a fast and agile workforce.

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business.

Your day-to-day:

Your responsibilities as a Lead Analytics Engineer will include :

• Serving as a data architect for Monzo’s Operations data, contributing to the design and scalability of data models that measure the performance of our Operations product suite.
• Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases.
• Scoping, building and leading through others the re-architecture of entire domains across Operations (including data about our workforce and about demands of our customers)
• Be a key voice in shaping and maintaining best practices fo