At a Glance
- Tasks: Own the business-ready data layer and create trusted metrics for finance and credit teams.
- Company: Join Onmo, a dynamic company focused on innovative financial solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment where your contributions directly influence business outcomes.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: 2-4 years in analytics engineering with strong SQL and Python skills.
The predicted salary is between 45000 - 55000 £ per year.
About The Role
As an Analytics Engineer at Onmo, you will be the day-to-day owner of the business-ready layer of our Databricks lakehouse: the dimensional models, governed metric definitions and self-serve tools that Finance, Credit Risk, Collections and Operations rely on.
You will sit between data engineering and the business, turning credit policy and finance rules into trusted, explainable numbers.
RESPONSIBILITIES
- Build and extend our gold-layer dimensional models, including point-in-time and month-end facts.
- Work with the Data team and business owners to define and maintain governed metric definitions for credit and finance KPIs (arrears and DPD buckets, roll rates, charge-off, utilisation, interest and fee income) so every dashboard and Genie agent uses the same numbers.
- Translate credit policy into tested SQL and reconcile it against the general ledger and legacy reports.
- Build Genie agents over certified, documented datasets.
- Put data quality checks, reconciliations and alerts around everything you ship.
- Deploy and operate what you build: job and workflow orchestration, environment promotion and CI/CD through Databricks Asset Bundles.
- FCA Compliance & Consumer Duty
- At Onmo we all take collective responsibility for our individual roles in creating the best outcomes for our customers. In this role that includes;
- Following the FCA Conduct Rules;
- You must act with integrity
- You must act with due skill, care and diligence
- You must be open and cooperative with the FCA, PRA and other regulators
- You must pay due regard to the interests of customers and treat them fairly
- You must observe proper standards of market conduct
ABOUT YOU
- Ways of Working
- Collaborative in a fast-paced environment, comfortable bridging engineers and finance or credit teams.
- Automate the repeatable, document as you go, and put checks and balances around every number that leaves the platform.
- Treat metric definitions as code: versioned, reviewed and tested.
- Your Approach
- Curious about how a credit card works end to end and how it shows up in the ledger.
- Comfortable with ambiguity, and enjoy getting stakeholders to one agreed definition.
- Happy at a growing company where everyone rolls up their sleeves.
QUALIFICATIONS & EXPERIENCE
Essential
- 2–4 years of analytics engineering experience, including building and maintaining data models in production.
- Background in consumer credit, lending, cards or banking, including delinquency, roll rates, charge-off, forbearance or ledger reconciliation.
- Strong SQL and working Python.
- Hands‑on dimensional modelling and experience defining a semantic or metrics layer.
- Experience with a modern cloud data platform (Databricks preferred), git and CI.
- Comfortable deploying and scheduling your own work: workflow orchestration and code‑based deployment (Databricks Asset Bundles or similar).
- Clear communicator across finance and engineering audiences.
Desirable
- Experience with loan management system, credit bureau or CRM data.
- Databricks Asset Bundles, Lakeflow Spark Declarative Pipelines, Terraform.
- #J-18808-Ljbffr
Analytics Engineer employer: ONMO
Onmo is an exceptional employer that prioritises employee growth and development within a dynamic and supportive work culture. As a Financial Accountant, you will be part of a passionate team dedicated to empowering individuals in their financial journeys, while enjoying the benefits of a collaborative environment that encourages innovation and continuous improvement. Located in a vibrant area, Onmo offers unique opportunities for professional advancement and the chance to make a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨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 ONMO!
✨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 Analytics Engineer at ONMO.
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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 ONMO.
✨Apply Directly through Our Website
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We think you need these skills to ace Analytics Engineer
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 ONMO, 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 ONMO. 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 ONMO
✨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 ONMO!
✨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.
