Lead Analytics Engineer Borrowing

About the Role

The team at Monzo values data-driven decision making, and the Lead Analytics Engineer will be a key voice in shaping and maintaining best practices for the Data Warehouse. This includes source data payload design, logical data modeling, implementation, metadata, and testing standards. The ideal candidate will have a strong understanding of data platforms and analytics solutions, as well as experience working with cross-functional teams.

What You Will Do

• Serve as a data architect for Monzo's Borrowing data, contributing to the design and scalability of data models that measure the performance of the 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.
• Design and implement data pipelines to support the growth of Monzo's Borrowing business.
• Collaborate with cross-functional teams to identify and prioritize data-driven initiatives that drive business outcomes.
• Develop and maintain documentation of data models, data sources, and data transformations.
• Work closely with the engineering team to ensure that data is properly integrated into the product.
• Stay up-to-date with industry trends and emerging technologies in data engineering and analytics.
• Participate in the development of the company's data strategy and roadmap.

What We Are Looking For

• 5+ years of experience in a similar role, with a strong background in data engineering and analytics.
• Proficiency in BigQuery, with experience building and managing large-scale data sets.
• Strong understanding of data modeling, data warehousing, and ETL processes.
• Experience working with cross-functional teams, including engineering, product, and business stakeholders.
• Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Strong analytical and problem-solving skills, with attention to detail and a focus on delivering high-quality results.
• Experience working in a remote or distributed team environment.

Nice to Have

• Experience with machine learning or large language models.
• Knowledge of cloud-based data platforms, such as AWS or GCP.
• Familiarity with Agile development methodologies and version control systems like Git.

Benefits and Perks

• Competitive salary range of $97,800 -
  25,000.
• Opportunity to work with a talented and dedicated team of professionals who are passionate about data-driven decision making.
• Comprehensive benefits package, including health insurance, retirement savings, and paid time off.
• Flexible working hours and remote work options, with the ability to work from anywhere in the UK.
• Professional development opportunities, including training and education programs, to help you grow your skills and advance your career.
• Access to the latest tools and technologies, including BigQuery, to help you deliver high-quality results.

• Be prepared to discuss your experience with data modeling and data warehousing, and how you have applied these skills in previous roles.
• Showcase your proficiency in BigQuery, including any experience with data pipelines and ETL processes.
• Highlight your ability to work collaboratively with cross-functional teams, including engineering, product, and business stakeholders.
• Emphasize your strong analytical and problem-solving skills, with attention to detail and a focus on delivering high-quality results.
• Be prepared to discuss your experience working in a remote or distributed team environment, and how you stay connected with colleagues and manage your time effectively.
• Consider including examples of your work, such as data visualizations or reports, to demonstrate your skills and experience.
• Research the company culture and values, and be prepared to discuss how you align with these and can contribute to the team's mission.