At a Glance
- Tasks: Build and optimise data models to support decision-making and analytics.
- Company: Join Monzo, a leading fintech with a collaborative and innovative culture.
- Benefits: Flexible hours, £1,000 learning budget, and part-time options available.
- Other info: Dynamic team environment with opportunities for continuous improvement and growth.
- Why this job: Make a real impact in the finance sector with cutting-edge data solutions.
- Qualifications: Passion for data modelling, fluent in SQL, and experience with Big Data.
The predicted salary is between 60000 - 80000 £ per year.
Location: London, Cardiff, or Remote in the UK.
Overview: The Analytics Engineering team at Monzo builds downstream data models from backend services to make our Data Warehouse a genuine competitive advantage. The role supports decision‑making, Business Intelligence, key financial reconciliation processes, and best‑in‑class analytics and data science.
Responsibilities:
- Build robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning, and financial & regulatory use cases.
- Optimize the Data Warehouse, spotting opportunities to reduce complexity and cost.
- Define and manage best practices for the Data Warehouse, including payload design, logical data modelling, implementation, metadata and testing standards.
- Set standards and ways of working with data across Monzo, collaborating with others to implement them in other areas of the business.
- Investigate and work with colleagues from different disciplines to monitor and improve data quality within the warehouse.
- Contribute to prioritisation of data governance issues.
- Own and support pipelines you contribute to; on‑call support outside business hours may be required.
- Collaborate with cross‑functional, fast‑moving teams to support small businesses.
Requirements:
- Strong passion for data modelling, ETL projects, and Big Data.
- Experience working with data streams from financial, transactional, and operational systems.
- Fluent in SQL and comfortable with general Data Warehousing concepts.
- Strategic thinking about the Business Banking product and its data models.
- Commitment to continuous improvement and proactive problem solving.
Nice to Have:
- Experience in a finance function or knowledge of accounting.
- Experience in a highly regulated environment (finance, gaming, food, healthcare).
- Knowledge of regulatory reporting and treasury operations in retail banking.
- Exposure to Python, Go or similar languages.
- Experience with orchestration frameworks such as Airflow or Luigi.
- Previous use of dbt, dataform or similar tooling.
- Agile experience using Kanban or Scrum.
Benefits:
- Flexible working hours and trust to work enough hours to do your job well.
- Learning budget of £1,000 per year for books, training courses and conferences.
- Option to work part‑time if you need to meet other commitments or strike a work‑life balance.
Remote Senior Analytics Engineer in Reading employer: Referrals Only
Monzo is an exceptional employer that champions a flexible and inclusive work culture, allowing employees to thrive in their roles as Remote Senior Analytics Engineers. With a generous learning budget and the option for part-time work, Monzo prioritises employee growth and well-being, making it an ideal place for those seeking meaningful and rewarding careers in data analytics within a dynamic and innovative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Analytics Engineer in Reading
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Referrals Only!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Remote Senior Analytics Engineer at Referrals Only.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Referrals Only.
✨Apply Directly through Our Website
When you find a suitable opening like Remote Senior Analytics Engineer at Referrals Only, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Referrals Only, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Referrals Only. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Referrals Only
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Referrals Only!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
